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ORCIDCoRR, March 2024
- Muhammad Suffian Nizami
, Jose Maria Alonso-Moral, Alessandro Bogliolo:
Introducing User Feedback-based Counterfactual Explanations (UFCE). - Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. - Dongmin Park:
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data. - Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang:
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion. - Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization. - Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar:
Towards Interpreting Multi-Objective Feature Associations. - Arunkumar Velayudhan Pillai:
Crypto Technology - Impact on Global Economy. - Xiaoxin Yin, David S. Yin:
Transformer-based Parameter Estimation in Statistics. - Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu, Chih-Ya Shen:
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy. - Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet:
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking. - Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric T. Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E. Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin:
On the Challenges and Opportunities in Generative AI. - Samuel J. K. Chin, Matthias Winkenbach, Akash Srivastava:
Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem. - Wenjun Jiang, Peiyan Li, Tianlong Fan, Ting Li, Chuanfu Zhang, Tao Zhang, Zongfu Luo:
A Quick Framework for Evaluating Worst Robustness of Complex Networks. - Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Uri Stemmer:
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries. - Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong:
GraphPub: Generation of Differential Privacy Graph with High Availability. - Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup:
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. - Viraj Nadkarni, D. Manjunath, Sharayu Moharir:
Influencing Bandits: Arm Selection for Preference Shaping. - Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. - Ingo Weber, Hendrik Linka, Daniel Mertens, Tamara Muryshkin, Heinrich Opgenoorth, Stefan Langer:
FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use. - Hongxia Li, Wei Huang, Jingya Wang, Ye Shi:
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. - Sikun Yang, Heinz Koeppl:
Scaling up Dynamic Edge Partition Models via Stochastic Gradient MCMC. - Michael Kissner, Leonardo Del Bino, Felix Päsler, Peter Caruana, George Ghalanos:
An All-Optical General-Purpose CPU and Optical Computer Architecture. - Xue Jiang, Yihong Dong, Zhi Jin, Ge Li:
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. - Sangwoon Kim, Antonia Bronars, Parag Patre, Alberto Rodriguez:
TEXterity - Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity. - Md. Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN:
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization. - Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe:
Artwork Explanation in Large-scale Vision Language Models. - Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu:
Resonance RoPE: Improving Context Length Generalization of Large Language Models. - Niels van der Laan, Mitchell R. Cohen, Jonathan Arsenault, James Richard Forbes:
The Invariant Rauch-Tung-Striebel Smoother. - Mitchell R. Cohen, James Richard Forbes:
Navigation and Control of Unconventional VTOL UAVs in Forward-Flight with Explicit Wind Velocity Estimation. - Joshua Z. Tan, Max Langenkamp, Anna Weichselbraun, Ann Brody, Lucia M. Korpas:
The Constitutions of Web3. - Alessandro Cimatti, Alberto Griggio, Gianluca Redondi:
Towards the verification of a generic interlocking logic: Dafny meets parameterized model checking. - Deepika Badampudi, Michael Unterkalmsteiner, Ricardo Britto:
Modern Code Reviews - Survey of Literature and Practice. - Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon:
PROC2PDDL: Open-Domain Planning Representations from Texts. - Neil Zhao, Diana Zheng:
Solving Jigsaw Puzzles using Iterative Random Sampling: Parallels with Development of Skill Mastery. - David Danks, Rada Mihalcea, Katie Siek, Mona Singh, Brian Dixon, Haley Griffin:
Future of Pandemic Prevention and Response CCC Workshop Report. - Gorav Jindal, Joël Ouaknine:
On the Counting Complexity of the Skolem Problem. - Waleed Abdeen, Xingru Chen, Michael Unterkalmsteiner:
An approach for performance requirements verification and test environments generation. - Chester Holtz, Yucheng Wang, Chung-Kuan Cheng, Bill Lin:
On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations. - Alexander Asemota, Giles Hooker:
Longitudinal Counterfactuals: Constraints and Opportunities. - Jonathan Zong, Isabella Pedraza Pineros, Mengzhu Katie Chen, Daniel Hajas, Arvind Satyanarayan:
Umwelt: Accessible Structured Editing of Multimodal Data Representations. - Yurui Huang, Xuesen Cheng, Chaolin Tian, Xunyi Jiang, Langtian Ma, Yifang Ma:
Talent hat, cross-border mobility, and career development in China. - Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu:
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. - Michael Unterkalmsteiner, Waleed Abdeen:
A compendium and evaluation of taxonomy quality attributes. - Markus Bläser, Julian Dörfler, Gorav Jindal:
PosSLP and Sum of Squares. - Ethan Blaser, Chuanhao Li, Hongning Wang:
Federated Linear Contextual Bandits with Heterogeneous Clients. - Maria Emelianenko, Guy B. Oldaker IV:
On the Optimality of CVOD-based Column Selection. - Jan Jaskowiec, N. Sukumar:
Penalty-free discontinuous Galerkin method. - Xiaoqiang Wang, Bang Liu, Lingfei Wu:
FAC2E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. - Sui He:
Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts. - Bryan Habas, Bo Cheng:
From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic Perching. - Amartya Shankha Biswas, Ruidi Cao, Edward Pyne, Ronitt Rubinfeld:
Average-Case Local Computation Algorithms. - Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik:
UniTS: Building a Unified Time Series Model. - Georges Dupret, Konstantin Sozinov, Carmen Barcena Gonzalez, Ziggy Zacks, Amber Yuan, Benjamin A. Carterette, Manuel Mai, Shubham Bansal, Gwo Liang Lien, Andrey Gatash, Roberto Sanchis-Ojeda, Mounia Lalmas:
ForTune: Running Offline Scenarios to Estimate Impact on Business Metrics. - Tao Jiang, Wei Yu:
Active Sensing for Reciprocal MIMO Channels. - Mohammadali Saffary, Nishan Inampudi, Joshua E. Siegel:
Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles. - Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, Simone Stumpf:
User Characteristics in Explainable AI: The Rabbit Hole of Personalization? - Joykirat Singh, Sehban Fazili, Rohan Jain, Md. Shad Akhtar:
EROS: Entity-Driven Controlled Policy Document Summarization. - Behzad Shayegh, Yuqiao Wen, Lili Mou:
Ensemble-Based Unsupervised Discontinuous Constituency Parsing by Tree Averaging. - Yuqiao Wen, Behzad Shayegh, Chenyang Huang, Yanshuai Cao, Lili Mou:
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation. - Malak Sadek, Marios Constantinides, Daniele Quercia, Céline Mougenot:
Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits. - Marios Constantinides, Mohammad Tahaei, Daniele Quercia, Simone Stumpf, Michael Madaio, Sean Kennedy, Lauren Wilcox, Jessica Vitak, Henriette Cramer, Edyta Paulina Bogucka, Ricardo Baeza-Yates, Ewa Luger, Jess Holbrook, Michael J. Muller, Ilana Golbin Blumenfeld, Giada Pistilli:
Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence. - Karan Ahuja:
Practical and Rich User Digitization. - Yu Wang:
LLMs in Political Science: Heralding a New Era of Visual Analysis. - Mahsa Mozafari-Nia, Salimeh Yasaei Sekeh:
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space. - Ziqin Chen, Yongqiang Wang:
Privacy-Preserving Distributed Optimization and Learning. - Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. - Kangfeng Ye, Fang Yan, Simos Gerasimou:
Quantitative Assurance and Synthesis of Controllers from Activity Diagrams. - Guanxuan Wu, Allison Sullivan:
AlloyASG: Alloy Predicate Code Representation as a Compact Structurally Balanced Graph. - Zhiyu An, Xianzhong Ding, Wan Du:
Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control. - Matthew Danish, S. M. Labib, Britta Ricker, Marco Helbich:
A citizen science toolkit to collect human perceptions of urban environments using open street view images. - Safouane El Ghazouali, Youssef Mhirit, Ali Oukhrid, Umberto Michelucci, Hichem Nouira:
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything. - Wei Niu, Gagan Agrawal, Bin Ren:
SoD2: Statically Optimizing Dynamic Deep Neural Network. - Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David A. Sontag, Ahmed M. Alaa:
Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning. - Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. - Jimin Mun, Cathy Buerger, Jenny T. Liang, Joshua Garland, Maarten Sap:
Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate. - Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. - Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter:
Learning to walk in confined spaces using 3D representation. - Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins:
Impact of Decentralized Learning on Player Utilities in Stackelberg Games. - Yuanwei Liu, Chongjun Ouyang, Zhiguo Ding, Robert Schober:
The Road to Next-Generation Multiple Access: A 50-Year Tutorial Review. - Bin Yuan, Tianbo Song, Jerry Yao:
Identification of important nodes in the information propagation network based on the artificial intelligence method. - Lev Tauz, Debarnab Mitra, Jayanth Shreekumar, Murat Can Sarihan, Chee Wei Wong, Lara Dolecek:
Block-MDS QC-LDPC Codes for Information Reconciliation in Key Distribution. - Bin Yuan, Tianbo Song:
Structural Resilience and Connectivity of the IPv6 Internet: An AS-level Topology Examination. - Benjamin Cohen-Wang, Joshua Vendrow, Aleksander Madry:
Ask Your Distribution Shift if Pre-Training is Right for You. - Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi:
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. - Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh, Gautam Das, Nick Koudas:
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. - Nischal Ashok Kumar, Andrew S. Lan:
Improving Socratic Question Generation using Data Augmentation and Preference Optimization. - Philippe Balbiani, Martín Diéguez, David Fernández-Duque, Brett McLean:
Constructive S4 modal logics with the finite birelational frame property. - Takahiko Furuya:
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis. - Morteza Moghaddassian, Alberto Leon-Garcia:
Yodel: A Layer 3.5 Name-Based Multicast Network Architecture For The Future Internet. - Pengyu Yan, Mahesh Bhosale, Jay Lal, Bikhyat Adhikari, David S. Doermann:
ChartReformer: Natural Language-Driven Chart Image Editing. - Jing Yu, Yujuan Tan, Ao Ren, Duo Liu:
Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References. - Aniket Tathe, Anand Kamble, Suyash Kumbharkar, Atharva Bhandare, Anirban C. Mitra:
Transcription and translation of videos using fine-tuned XLSR Wav2Vec2 on custom dataset and mBART. - Xin Liu, Jiamin Wu, Tianzhu Zhang:
Multi-modal Attribute Prompting for Vision-Language Models. - Chao Huang, Hyungbo Shim, Siliang Yu, Brian D. O. Anderson:
Mode Consensus Algorithms With Finite Convergence Time. - Emile Anand, Guannan Qu:
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale. - Woo Kyung Kim, Minjong Yoo, Honguk Woo:
Robust Policy Learning via Offline Skill Diffusion. - Taichi Aida, Danushka Bollegala:
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection. - Chunlin Li, Ruofan Liang, Hanrui Fan, Zhengen Zhang, Sankeerth Durvasula, Nandita Vijaykumar:
DISORF: A Distributed Online NeRF Training and Rendering Framework for Mobile Robots. - Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu:
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models. - Xinyi Li, Ang Li, Bo Fang, Katarzyna Swirydowicz, Ignacio Laguna, Ganesh Gopalakrishnan:
FTTN: Feature-Targeted Testing for Numerical Properties of NVIDIA & AMD Matrix Accelerators. - Rachith Aiyappa, Shruthi Senthilmani, Jisun An, Haewoon Kwak, Yong-Yeol Ahn:
Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance. - Qian Feng, Zhihua Xia, Zhifeng Xu, Jiasi Weng, Jian Weng:
OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network. - Léane Jourdan, Florian Boudin, Nicolas Hernandez, Richard Dufour:
CASIMIR: A Corpus of Scientific Articles enhanced with Multiple Author-Integrated Revisions. - Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu:
YOLO-MED : Multi-Task Interaction Network for Biomedical Images. - Matthew Andres Moreno, Santiago Rodriguez Papa, Emily L. Dolson:
Analysis of Phylogeny Tracking Algorithms for Serial and Multiprocess Applications. - Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu:
Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. - Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan:
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. - Yuan Huang, Yinan Chen, Xiangping Chen, Xiaocong Zhou:
Are your comments outdated? Towards automatically detecting code-comment consistency. - Olivier Salaün, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, Philippe Langlais:
EUROPA: A Legal Multilingual Keyphrase Generation Dataset. - Rukesh Prajapati, Amr S. El-Wakeel:
Cloud-based Federated Learning Framework for MRI Segmentation. - Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen:
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. - Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini:
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies. - Ghazal Khalighinejad, Defne Circi, L. Catherine Brinson, Bhuwan Dhingra:
Extracting Polymer Nanocomposite Samples from Full-Length Documents. - Jiahao Hong, Jialong Zuo, Chuchu Han, Ruochen Zheng, Ming Tian, Changxin Gao, Nong Sang:
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification. - Kimi Wenzel, Geoff Kaufman:
Designing for Harm Reduction: Communication Repair for Multicultural Users' Voice Interactions. - Matthew Andres Moreno, Santiago Rodriguez Papa, Emily L. Dolson:
Algorithms for Efficient, Compact Online Data Stream Curation. - Kirill Prokhorov, Alexandr A. Kalinin:
Improving Acne Image Grading with Label Distribution Smoothing. - Wei Chen, Zichen Miao, Qiang Qiu:
Large Convolutional Model Tuning via Filter Subspace. - Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li:
Event-Driven Learning for Spiking Neural Networks. - Rohan Sarkar, Avinash C. Kak:
Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval. - Iván Belenky:
ARED: Argentina Real Estate Dataset. - Xi Liu, Ying Guo, Cheng Zhen, Tong Li, Yingying Ao, Pengfei Yan:
CustomListener: Text-guided Responsive Interaction for User-friendly Listening Head Generation. - (Withdrawn) Graph Construction with Flexible Nodes for Traffic Demand Prediction.
- Jinman Zhao, Yitian Ding, Chen Jia, Yining Wang, Zifan Qian:
Gender Bias in Large Language Models across Multiple Languages. - Jinho Bok, Weijie Su, Jason M. Altschuler:
Shifted Interpolation for Differential Privacy. - Efrén López-Morales, Ulysse Planta, Carlos E. Rubio-Medrano, Ali Abbasi, Alvaro A. Cárdenas:
SoK: Security of Programmable Logic Controllers. - Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh:
Scale-Invariant Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning. - Shiming Zhang, Zhipeng Luo, Li Yang, Fei Teng, Tianrui Li:
A Survey of Route Recommendations: Methods, Applications, and Opportunities. - Bhavani A Madhabhavi, Gangadhar Karevvanavar, Rajshekhar Vishweshwar Bhat, Nikolaos Pappas:
Semantic Text Transmission via Prediction with Small Language Models: Cost-Similarity Trade-off. - Xu Zhang, Xiaojun Wan:
DPP-Based Adversarial Prompt Searching for Lanugage Models. - Peixuan Li, Chuangyin Dang, Yang Zhan:
A Gradually Reinforced Sample-Average-Approximation Differentiable Homotopy Method for a System of Stochastic Equations. - Jinhyun So, Hyukjoon Kwon:
Universal Auto-encoder Framework for MIMO CSI Feedback. - Lei Si, Haowei Cao, Guoning Chen:
Hybrid Base Complex: Extract and Visualize Structure of Hex-dominant Meshes. - Chen Duan, Pei Fu, Shan Guo, Qianyi Jiang, Xiaoming Wei:
ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting. - Saurav Dhar, Amlan Saha, Dhiman Goswami, Md. Abul Kashem Mia:
qPMS Sigma - An Efficient and Exact Parallel Algorithm for the Planted (l, d) Motif Search Problem. - Xueyuan Xu, Fulin Wei, Tianyuan Jia, Li Zhuo, Feiping Nie, Xia Wu:
Embedded Multi-label Feature Selection via Orthogonal Regression. - Andrés Páez:
Axe the X in XAI: A Plea for Understandable AI. - Jinyang Jiang, Xiaotian Liu, Tao Ren, Qinghao Wang, Yi Zheng, Yufu Du, Yijie Peng, Cheng Zhang:
Deep Reinforcement Learning for Solving Management Problems: Towards A Large Management Mode. - Yulin Shao:
DEEP-IoT: Downlink-Enhanced Efficient-Power Internet of Things. - Ruibin Zhang, Junxiao Lin, Yuze Wu, Yuman Gao, Chi Wang, Chao Xu, Yanjun Cao, Fei Gao:
Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels. - Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. - Qiang Meng, Xiao Wang, Jiabao Wang, Liujiang Yan, Ke Wang:
Small, Versatile and Mighty: A Range-View Perception Framework. - Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, Xinbo Gao:
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion. - Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu:
Task Indicating Transformer for Task-conditional Dense Predictions. - Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. - Li Zeng, Haohan Huang, Binfan Zheng, Kang Yang, Sheng Cheng Shao, Jinhua Zhou, Jun Xie, Rongqian Zhao, Xin Chen:
WindGP: Efficient Graph Partitioning on Heterogenous Machines. - Keshav Dasu, Sam Yu-Te Lee, Ying-Cheng Chen, Kwan-Liu Ma:
NOVA: A visual interface for assessing polarizing media coverage. - Wenqi Liang, Gan Sun, Qian He, Yu Ren, Jiahua Dong, Yang Cong:
Never-Ending Embodied Robot Learning. - Olga Zaghen:
Nonlinear Sheaf Diffusion in Graph Neural Networks. - Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che:
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models. - Takayuki Osa, Tatsuya Harada:
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks. - Nikolaos I. Miridakis, Theodoros A. Tsiftsis, Panagiotis Karkazis, Helen C. Leligou, Petar Popovski:
Impact of Inter-Operator Interference via Reconfigurable Intelligent Surfaces. - Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao:
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. - Xiaqiang Tang, Weigao Sun, Siyuan Hu, Yiyang Sun, Yafeng Guo:
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes. - Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee:
Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. - Xin Sun, Isabelle Teljeur, Zhuying Li, Jos A. Bosch:
Can a Funny Chatbot Make a Difference? Infusing Humor into Conversational Agent for Behavioral Intervention. - Christian Kosel, S. Michel, Tina Seidel, M. Foerster:
Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks. - Simone Borg Bruun, Christina Lioma, Maria Maistro:
Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain. - Heyang Liu, Yu Wang, Yanfeng Wang:
Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview. - Zhiying Leng, Tolga Birdal, Xiaohui Liang, Federico Tombari:
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation. - Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu:
Invariant Test-Time Adaptation for Vision-Language Model Generalization. - Jiajun Qian, Liang Xu, Xiaoqiang Ren, Xiaofan Wang:
Structured Deep Neural Networks-Based Backstepping Trajectory Tracking Control for Lagrangian Systems. - Antoine Chaillet, Fabian Wirth, Andrii Mironchenko, Lucas Brivadis:
For time-invariant delay systems, global asymptotic stability does not imply uniform global attractivity. - Jakub Michaliszyn, Jan Otop:
Deterministic Weighted Automata under Partial Observability. - Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Manohar Swaminathan:
Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs. - Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. - Rémi Castera, Felipe Garrido-Lucero, Mathieu Molina, Simon Mauras, Patrick Loiseau, Vianney Perchet:
The Price of Fairness in Bipartite Matching. - Mincheol Kim, Ukcheol Shin, Jung-Yup Kim:
Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking. - Véronique Bruyère, Christophe Grandmont, Jean-François Raskin:
As Soon as Possible but Rationally. - Huu Phuoc Bui, Michel Duprez, Pierre-Yves Rohan, Arnaud Lejeune, Stéphane P. A. Bordas, Marek Bucki, Franz Chouly:
Enhancing Biomechanical Simulations Based on A Posteriori Error Estimates: The Potential of Dual Weighted Residual-Driven Adaptive Mesh Refinement. - Alexandra Baicoianu, Cristina Gabriela Gavrila, Cristina Maria Pacurar, Victor-Dan Pacurar:
Fractal interpolation in the context of prediction accuracy optimization. - Panagiotis Papadimitratos, Zygmunt J. Haas:
Secure Routing for Mobile Ad hoc Networks. - Jakob Svennevik Notland, Jingyue Li, Mariusz Nowostawski, Peter Halland Haro:
SoK: Cross-Chain Bridging Architectural Design Flaws and Mitigations. - Oleksandr Kuznetsov, Dzianis Kanonik, Alex Rusnak, Anton Yezhov, Oleksandr Domin:
Adaptive Restructuring of Merkle and Verkle Trees for Enhanced Blockchain Scalability. - Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan:
Provably Robust DPO: Aligning Language Models with Noisy Feedback. - Recep Firat Cekinel, Pinar Karagoz, Çagri Çöltekin:
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish. - Zhenpeng Huang, Chao Li, Hao Chen, Yongjian Deng, Yifeng Geng, Limin Wang:
Data-efficient Event Camera Pre-training via Disentangled Masked Modeling. - Jinbiao Yang:
Rethinking Tokenization: Crafting Better Tokenizers for Large Language Models. - Jana Juros, Laura Majer, Jan Snajder:
LLMs for Targeted Sentiment in News Headlines: Exploring Different Levels of Prompt Prescriptiveness. - Lucas Schott, Joséphine Delas, Hatem Hajri, Elies Gherbi, Reda Yaich, Nora Boulahia-Cuppens, Frédéric Cuppens, Sylvain Lamprier:
Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey. - Victor G. Lopez, Matthias Albrecht Müller:
Data-Based Control of Continuous-Time Linear Systems with Performance Specifications. - Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou:
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding. - Chengze Ye, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier:
Deep Learning Computed Tomography based on the Defrise and Clack Algorithm. - Bastien Pacifico:
Introducing locality in some generalized AG codes. - Petr Prucha:
Robotic Process Automation as a Driver for Sustainable Innovation and Entrepreneurship. - Qingyuan Liu, Yanning Yang, Dong Du, Yubin Xia, Ping Zhang, Jia Feng, James R. Larus, Haibo Chen:
Jiagu: Optimizing Serverless Computing Resource Utilization with Harmonized Efficiency and Practicability. - Zhouxiang Zhao, Zhaohui Yang, Ye Hu, Qianqian Yang, Wei Xu, Zhaoyang Zhang:
Probabilistic Semantic Communication over Wireless Networks with Rate Splitting. - Tom Hosking, Hao Tang, Mirella Lapata:
Hierarchical Indexing for Retrieval-Augmented Opinion Summarization. - Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. - Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe, Prathosh AP:
LoMOE: Localized Multi-Object Editing via Multi-Diffusion. - Kirill Milintsevich, Kairit Sirts, Gaël Dias:
Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset. - Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung:
Authors' Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts. - Ruichen Xu, Xiao Liu, Jinming Xu, Yuan Lin:
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change. - Yuxiao Chen, Jingzheng Wu, Xiang Ling, Changjiang Li, Zhiqing Rui, Tianyue Luo, Yanjun Wu:
When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done? - Thomas Firmin, Pierre Boulet, El-Ghazali Talbi:
Parallel Hyperparameter Optimization Of Spiking Neural Network. - Shumpei Takezaki, Seiichi Uchida:
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels. - Caroline Violot, Tugrulcan Elmas, Igor Bilogrevic, Mathias Humbert:
Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends. - Zahra Yazdanparast:
A Survey on Self-healing Software System. - Yang Zhou, Zichong Chen, Hui Huang:
Deformable One-shot Face Stylization via DINO Semantic Guidance. - Joe Stacey, Jianpeng Cheng, John Torr, Tristan Guigue, Joris Driesen, Alexandru Coca, Mark Gaynor, Anders Johannsen:
LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues. - Hongming Fei, Owen Millwood, Prosanta Gope, Jack Miskelly, Biplab Sikdar:
Attacking Delay-based PUFs with Minimal Adversary Model. - Leszek Gasieniec, Benjamin Smith, Sebastian Wild:
Polyamorous Scheduling. - Wenjie Xuan, Yufei Xu, Shanshan Zhao, Chaoyue Wang, Juhua Liu, Bo Du, Dacheng Tao:
When ControlNet Meets Inexplicit Masks: A Case Study of ControlNet on its Contour-following Ability. - Xiangjia Chen, Lip M. Lai, Zishun Liu, Chengkai Dai, Isaac C. W. Leung, Charlie C. L. Wang, Yeung Yam:
Computer-Controlled 3D Freeform Surface Weaving. - Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou:
TempCompass: Do Video LLMs Really Understand Videos? - Yaqing Yang, Liang Pan, Kun Xu:
Implicit high-order gas-kinetic schemes for compressible flows on three-dimensional unstructured meshes II: unsteady flows. - Mengqi Huang, Zhendong Mao, Mingcong Liu, Qian He, Yongdong Zhang:
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization. - Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang:
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. - Xianqi Wang, Gangwei Xu, Hao Jia, Xin Yang:
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching. - Amal Nanavati, Max Pascher, Vinitha Ranganeni, Ethan K. Gordon, Taylor Kessler Faulkner, Siddhartha S. Srinivasa, Maya Cakmak, Patrícia Alves-Oliveira, Jens Gerken:
Multiple Ways of Working with Users to Develop Physically Assistive Robots. - Hao Wu, Yuxi Fu, Huan Long, Xian Xu, Wenbo Zhang:
Analyzing Divergence for Nondeterministic Probabilistic Models. - Tala Eagling-Vose, Barnaby Martin, Daniël Paulusma, Mark H. Siggers, Siani Smith:
Graph Homomorphism, Monotone Classes and Bounded Pathwidth. - Ariel Goldstein, Gabriel Stanovsky:
Do Zombies Understand? A Choose-Your-Own-Adventure Exploration of Machine Cognition. - Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun:
Learning and Leveraging World Models in Visual Representation Learning. - Deborah N. Jakobi, Thomas Kern, David R. Reich, Patrick Haller, Lena A. Jäger:
PoTeC: A German Naturalistic Eye-tracking-while-reading Corpus. - Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari:
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese. - Bo Li, Qinghua Zhao, Lijie Wen:
ROME: Memorization Insights from Text, Probability and Hidden State in Large Language Models. - Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan:
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. - Felix Moebius, Tobias Pfandzelter, David Bermbach:
Are Unikernels Ready for Serverless on the Edge? - Fabio Widmer, Stijn van Dooren, Christopher Harald Onder:
Optimization of the Energy-Comfort Trade-Off of HVAC Systems in Electric City Buses Based on a Steady-State Model. - Nolwenn Bernard, Ivica Kostric, Krisztian Balog:
IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling. - Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. - Sedir Mohammed, Hazar Harmouch, Felix Naumann, Divesh Srivastava:
Data Quality Assessment: Challenges and Opportunities. - Piaohong Wang, Siying Hu, Bo Wen, Zhicong Lu:
"There is a Job Prepared for Me Here": Understanding How Short Video and Live-streaming Platforms Empower Ageing Job Seekers in China. - Edward Whittaker, Ikuo Kitagishi:
Large Language Models for Simultaneous Named Entity Extraction and Spelling Correction. - Weiwei Lin, Chenhang He, Man-Wai Mak, Jiachen Lian, Kong Aik Lee:
VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis. - Moritz Buchem, Paul Deuker, Andreas Wiese:
Approximating the Geometric Knapsack Problem in Near-Linear Time and Dynamically. - Islem Bouzenia, Bajaj Piyush Krishan, Michael Pradel:
DyPyBench: A Benchmark of Executable Python Software. - Bach Do, Ruda Zhang:
Epsilon-Greedy Thompson Sampling to Bayesian Optimization. - Sofía Ramos-Pulido, Neil Hernández-Gress, Héctor Gibrán Ceballos-Cancino:
Machine Learning Training Optimization using the Barycentric Correction Procedure. - Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen, Xi Shen:
SURE: SUrvey REcipes for building reliable and robust deep networks. - Rida Saghir, Thenuka Karunathilake, Anna Förster:
Comparative Study of Simulators for Vehicular Networks. - Nathan Gavenski, Michael Luck, Odinaldo Rodrigues:
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking. - Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova:
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores. - Hoang-Anh Tran, Tor Arne Johansen, Rudy R. Negenborn:
Distributed MPC for autonomous ships on inland waterways with collaborative collision avoidance. - Jake Witter, Conor J. Houghton:
Nearest-Neighbours Estimators for Conditional Mutual Information. - Daniel Huczala, Johannes Siegele, Daren A. Thimm, Martin Pfurner, Hans-Peter Schröcker:
Rational Linkages: From Poses to 3D-printed Prototypes. - Huaqing Yuan, Yi He, Peng Du, Lu Song:
Multi-Task Learning Using Uncertainty to Weigh Losses for Heterogeneous Face Attribute Estimation. - Alfred Nilsson, Klas Wijk, Sai Bharath Chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour:
Indirectly Parameterized Concrete Autoencoders. - Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao:
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data. - Tarik Crnovrsanin, Calvin Yu, Dane Hankamer, Cody Dunne:
Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classification. - Katherine Margaret Frances James, Karoline Heiwolt, Daniel James Sargent, Grzegorz Cielniak:
Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw). - Yixiong Zou, Yicong Liu, Yiman Hu, Yuhua Li, Ruixuan Li:
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning. - Nikolas Adaloglou, Tim Kaiser, Felix Michels, Markus Kollmann:
Rethinking cluster-conditioned diffusion models. - Axel Klawonn, Martin Lanser, Lucas Mager, Ameya Rege:
Computational homogenization for aerogel-like polydisperse open-porous materials using neural network-based surrogate models on the microscale. - (Withdrawn) IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering.
- Toki Tahmid Inan, Mingrui Liu, Amarda Shehu:
Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms. - Aurelio Raffa Ugolini, Valentina Breschi, Andrea Manzoni, Mara Tanelli:
SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study. - Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. - Nicolas Scharowski, Sebastian A. C. Perrig, Lena Fanya Aeschbach, Nick von Felten, Klaus Opwis, Philipp Wintersberger, Florian Brühlmann:
To Trust or Distrust Trust Measures: Validating Questionnaires for Trust in AI. - Ghazal Fazelnia, Sanket Gupta, Claire Keum, Mark Koh, Ian Anderson, Mounia Lalmas:
Generalized User Representations for Transfer Learning. - Wenbo Huang, Xudong You, Kai Wan, Robert Caiming Qiu, Mingyue Ji:
Decentralized Uncoded Storage Elastic Computing with Heterogeneous Computation Speeds. - Sophie Fischer, Federico Rossetto, Carlos Gemmell, Andrew Ramsay, Iain Mackie, Philip Zubel, Niklas Tecklenburg, Jeffrey Dalton:
Open Assistant Toolkit - version 2. - Ander Salaberria, Gorka Azkune, Oier Lopez de Lacalle, Aitor Soroa, Eneko Agirre, Frank Keller:
Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived Dataset. - Neta Rozen Schiff, Itzcak Pechtalt, Amit Navon, Leon Bruckman:
Hercules: Heterogeneous Requirements Congestion Control Protocol. - Zhenwei He, Lei Zhang:
Learning Causal Features for Incremental Object Detection. - Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge J. Belongie:
Rethinking Few-shot 3D Point Cloud Semantic Segmentation. - José A. Cañizo, Alejandro Ramos-Lora:
Discrete minimizers of the interaction energy in collective behavior: a brief numerical and analytic review. - Gergely Csáji:
Popularity and Perfectness in One-sided Matching Markets with Capacities. - Zexin Feng, Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Heng Meng, Jiang Liu:
Flattening Singular Values of Factorized Convolution for Medical Images. - Joseph E. McCarthy, Mathieu Dahan, Chelsea C. White III:
Dynamic Operational Planning in Warfare: A Stochastic Game Approach to Military Campaigns. - Vincent Corlay, Viet-Hoa Nguyen, Nicolas Gresset:
Probabilistic positioning via ray tracing with noisy angle of arrival measurements. - Vishnu Veeraraghavan, Kyle Hunte, Jingang Yi, Kaiyan Yu:
Complete and Near-Optimal Robotic Crack Coverage and Filling in Civil Infrastructure. - Majdoddin Esfandiari, Sergiy A. Vorobyov, Robert W. Heath Jr.:
AdaBoost-Based Efficient Channel Estimation and Data Detection in One-Bit Massive MIMO. - Charles Pillet, Ilshat Sagitov, Valerio Bioglio, Pascal Giard:
Shortened Polar Codes under Automorphism Ensemble Decoding. - Yu Fan, Xiaoliang Li, Shuoguo Zhang, Xiangyu Hu, Nikolaus A. Adams:
Analysis of the particle relaxation method for generating uniform particle distributions in smoothed particle hydrodynamics. - Yixuan Zhang, Feng Zhou:
Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency. - Yuxi Liu, Wenhan Yang, Huihui Bai, Yunchao Wei, Yao Zhao:
Region-Adaptive Transform with Segmentation Prior for Image Compression. - Hazhir Aliahmadi, Ruben Perez, Greg van Anders:
Transforming Design Spaces Using Pareto-Laplace Filters. - Qian Wan, Xin Feng, Yining Bei, Zhiqi Gao, Zhicong Lu:
Metamorpheus: Interactive, Affective, and Creative Dream Narration Through Metaphorical Visual Storytelling. - Maria C. Borges, Joshua Bauer, Sebastian Werner, Michael Gebauer, Stefan Tai:
Informed and Assessable Observability Design Decisions in Cloud-native Microservice Applications. - Lauren Bramblett, Branko Miloradovic, Patrick Sherman, Alessandro V. Papadopoulos, Nicola Bezzo:
Robust Online Epistemic Replanning of Multi-Robot Missions. - Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang:
Rethinking The Uniformity Metric in Self-Supervised Learning. - Pascal Koiran, Subhayan Saha:
Undercomplete Decomposition of Symmetric Tensors in Linear Time, and Smoothed Analysis of the Condition Number. - Yuhao Liu, Fang Liu, Zhanghan Ke, Nanxuan Zhao, Rynson W. H. Lau:
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks. - Yangyang Qian, Lu Liu:
Event-Triggered Robust Cooperative Output Regulation for a Class of Linear Multi-Agent Systems with an Unknown Exosystem. - Igor Pontes Duff, Pawan Goyal, Peter Benner:
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. - Milad Alshomary, Felix Lange, Meisam Booshehri, Meghdut Sengupta, Philipp Cimiano, Henning Wachsmuth:
Modeling the Quality of Dialogical Explanations. - Lina Ruiz, Franklin Sierra-Jerez, Jair Ruiz, Fabio Martínez:
COLON: The largest COlonoscopy LONg sequence public database. - Hanzhi Yu, Yuchen Liu, Mingzhe Chen:
Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization. - Marcello Morini, Eugenio Moro, Ilario Filippini, Antonio Capone, Danilo De Donno:
Exploring Upper-6GHz and mmWave in Real-World 5G Networks: A Direct on-Field Comparison. - Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu:
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges. - Yanxiao Zhao, Yangge Qian, Tianyi Wang, Jingyang Shan, Xiaolin Qin:
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency. - Unnikrishnan Kunnath Ganesan, Tung Thanh Vu, Erik G. Larsson:
Cell-Free Massive MIMO with Multi-Antenna Users and Phase Misalignments: A Novel Partially Coherent Transmission Framework. - Yifan Lin, Yuhao Wang, Enlu Zhou:
Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate. - Susanne Frick, Amer Krivosija, Alexander Munteanu:
Scalable Learning of Item Response Theory Models. - Harry Yserentant:
An iterative method for the solution of Laplace-like equations in high and very high space dimensions. - Gabriele Sacco, Loris Bozzato, Oliver Kutz:
Know your exceptions: Towards an Ontology of Exceptions in Knowledge Representation. - Catherine Arnett, Tyler A. Chang, Benjamin K. Bergen:
A Bit of a Problem: Measurement Disparities in Dataset Sizes Across Languages. - Thomas Britton, Torri Jeske, David Lawrence, Kishansingh Rajput:
Hydra: Computer Vision for Data Quality Monitoring. - Dominik Jeurissen, Diego Perez Liebana, Jeremy Gow, Duygu Çakmak, James Kwan:
Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents. - Kangning Yin, Shihao Zou, Yuxuan Ge, Zheng Tian:
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space. - Christopher Malon, Xiaodan Zhu:
Self-Consistent Decoding for More Factual Open Responses. - Sergey Goncharov:
Representing Guardedness in Call-by-Value and Guarded Parametrized Monads. - Gwangbin Bae, Andrew J. Davison:
Rethinking Inductive Biases for Surface Normal Estimation. - Shinji Ito, Taira Tsuchiya, Junya Honda:
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds. - Jooyoung Seo, Yilin Xia, Bongshin Lee, Sean McCurry, Yu Jun Yam:
MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation. - Pietro Sittoni, Francesco Tudisco:
Subhomogeneous Deep Equilibrium Models. - Jiaying Gong, Hoda Eldardiry:
Few-Shot Relation Extraction with Hybrid Visual Evidence. - Masoumeh Moradian, Aresh Dadlani, Rasul Kairgeldin, Ahmad Khonsari:
Cost-Effective Activity Control of Asymptomatic Carriers in Layered Temporal Social Networks. - Chuan Wen, Dinesh Jayaraman, Yang Gao:
Can Transformers Capture Spatial Relations between Objects? - Marijn J. H. Heule, Manfred Scheucher:
Happy Ending: An Empty Hexagon in Every Set of 30 Points. - Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, Sharese King:
Dialect prejudice predicts AI decisions about people's character, employability, and criminality. - Joshua Dennis Booth, Hongyang Sun, Trevor Garnett:
Neural Acceleration of Incomplete Cholesky Preconditioners. - János Kramár, Tom Lieberum, Rohin Shah, Neel Nanda:
AtP*: An efficient and scalable method for localizing LLM behaviour to components. - Imran Khan, Tuyen X. Tran, Matti A. Hiltunen, Theodore Karagioules, Dimitrios Koutsonikolas:
An Experimental Study of Low-Latency Video Streaming over 5G. - Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang:
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. - Tao Zhang, Xiangtai Li, Haobo Yuan, Shunping Ji, Shuicheng Yan:
Point Cloud Mamba: Point Cloud Learning via State Space Model. - Tobias Haubold, Petra Linke:
An Architecture for Unattended Containerized (Deep) Reinforcement Learning with Webots. - Enrico Russo, Francesco Giulio Blanco, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Vincenzo Catania:
Towards Fair and Firm Real-Time Scheduling in DNN Multi-Tenant Multi-Accelerator Systems via Reinforcement Learning. - Rafael Ferreira Mello, Máverick André, Anderson Pinheiro, Evandro Costa, Cristóbal Romero:
Text mining in education. - Juyang Weng:
Misconduct in Post-Selections and Deep Learning. - Kamal Taha:
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey. - Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani:
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. - Hankz Hankui Zhuo, Xin Chen, Rong Pan:
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs. - Jiajia Wang, Jimmy X. Huang, Xinhui Tu, Junmei Wang, Angela Jennifer Huang, Md. Tahmid Rahman Laskar, Amran Bhuiyan:
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. - Menglin Li, Kwan Hui Lim:
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts. - Deven Panchal, Prafulla Verma, Isilay Baran, Dan Musgrove, David Lu:
Reusable MLOps: Reusable Deployment, Reusable Infrastructure and Hot-Swappable Machine Learning models and services. - Satvik Tripathi, Liam Mutter, Meghana Muppuri, Suhani Dheer, Emiliano Garza-Frias, Komal Awan, Aakash Jha, Michael Dezube, Azadeh Tabari, Christopher P. Bridge, Dania Daye:
PRECISE Framework: GPT-based Text For Improved Readability, Reliability, and Understandability of Radiology Reports For Patient-Centered Care. - Tofara Moyo:
Structuring Concept Space with the Musical Circle of Fifths by Utilizing Music Grammar Based Activations. - Carl Edwards, Qingyun Wang, Lawrence Zhao, Heng Ji:
L+M-24: Building a Dataset for Language + Molecules @ ACL 2024. - Mats Gustafsson, Lukás Jelínek, Miloslav Capek, Johan Lundgren, Kurt Schab:
Theory and Computation of Substructure Characteristic Modes. - Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang:
Ad Recommendation in a Collapsed and Entangled World. - Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, Kathleen R. McKeown:
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models. - Xin Zheng, Qiming Zhu, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun:
Executing Natural Language-Described Algorithms with Large Language Models: An Investigation. - Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. - Zui Chen, Yezeng Chen, Jiaqi Han, Zhijie Huang, Ji Qi, Yi Zhou:
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning. - Yezeng Chen, Zui Chen, Yi Zhou:
Brain-Inspired Two-Stage Approach: Enhancing Mathematical Reasoning by Imitating Human Thought Processes. - Qiaoyu Tang, Jiawei Chen, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li:
Self-Retrieval: Building an Information Retrieval System with One Large Language Model. - Amit Kumar Jaiswal:
Towards a Theoretical Understanding of Two-Stage Recommender Systems. - Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan:
LiMAML: Personalization of Deep Recommender Models via Meta Learning. - Shu-Ting Pi, Sidarth Srinivasan, Yuying Zhu, Michael Yang, Qun Liu:
Uncovering Customer Issues through Topological Natural Language Analysis. - Zakaria Tolba:
A New Dynamic Distributed Planning Approach: Application to DPDP Problems. - Chenwei Zhang, Wenran Lu, Chunhe Ni, Hongbo Wang, Jiang Wu:
Enhanced User Interaction in Operating Systems through Machine Learning Language Models. - Chunhe Ni, Jiang Wu, Hongbo Wang, Wenran Lu, Chenwei Zhang:
Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models. - Jianli Zhao, Changhao Xu, Bin Jiang:
IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model. - Abdelhak Kelious, Mounir Okirim:
Abdelhak at SemEval-2024 Task 9 : Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT. - Feiyu Zhu, Reid G. Simmons:
Bootstrapping Cognitive Agents with a Large Language Model. - Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He:
Cognitive Bias in High-Stakes Decision-Making with LLMs. - Sheng Wang, Liheng Chen, Jiyue Jiang, Boyang Xue, Lingpeng Kong, Chuan Wu:
LoRA Meets Dropout under a Unified Framework. - Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. - Ruizhe Zhang, Qingyao Ai, Yiqun Liu, Yueyue Wu, Beining Wang:
Gender Biased Legal Case Retrieval System on Users' Decision Process. - Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang:
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. - Jinxu Zhang, Yongqi Yu, Yu Zhang:
CFRet-DVQA: Coarse-to-Fine Retrieval and Efficient Tuning for Document Visual Question Answering. - Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. - Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang:
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. - Tristan Kenneweg, Philip Kenneweg, Barbara Hammer:
Retrieval Augmented Generation Systems: Automatic Dataset Creation, Evaluation and Boolean Agent Setup. - Seibi Kobara, Alireza Rafiei, Masoud Nateghi, Selen Bozkurt, Rishikesan Kamaleswaran, Abeed Sarker:
Social Media as a Sensor: Analyzing Twitter Data for Breast Cancer Medication Effects Using Natural Language Processing. - Saketh Reddy Karra, Theja Tulabandhula:
InteraRec: Interactive Recommendations Using Multimodal Large Language Models. - Christopher Archibald, Spencer Brosnahan:
Adapting to Teammates in a Cooperative Language Game. - Javier Ferrando, Elena Voita:
Information Flow Routes: Automatically Interpreting Language Models at Scale. - Jongga Lee, Jaeseung Yim, Seohee Park, Changwon Lim:
Comparing effectiveness of regularization methods on text classification: Simple and complex model in data shortage situation. - Shubh Goyal, Medha Hira, Shubham Mishra, Sukriti Goyal, Arnav Goel, Niharika Dadu, Kirushikesh D. B., Sameep Mehta, Nishtha Madaan:
LLMGuard: Guarding Against Unsafe LLM Behavior. - Keshav Ramji, Young-Suk Lee, Ramón Fernandez Astudillo, Md. Arafat Sultan, Tahira Naseem, Asim Munawar, Radu Florian, Salim Roukos:
Self-Refinement of Language Models from External Proxy Metrics Feedback. - Bushra Alhijawi, Rawan Jarrar, Aseel AbuAlRub, Arwa Bader:
Deep Learning Detection Method for Large Language Models-Generated Scientific Content. - Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang:
TroubleLLM: Align to Red Team Expert. - Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. - Yang Cao, Shuo Shang, Jun Wang, Wei Zhang:
Explainable Session-based Recommendation via Path Reasoning. - Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao:
Position Paper: Agent AI Towards a Holistic Intelligence. - Philipp Schmidt, Sören Arlt, Carlos Ruiz-Gonzalez, Xuemei Gu, Carla Rodríguez, Mario Krenn:
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics. - Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang:
CLLMs: Consistency Large Language Models. - Xukun Liu, Zhiyuan Peng, Xiaoyuan Yi, Xing Xie, Lirong Xiang, Yuchen Liu, Dongkuan Xu:
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph. - Xiaolan Chen, Ziwei Zhao, Weiyi Zhang, Pusheng Xu, Le Gao, Mingpu Xu, Yue Wu, Yinwen Li, Danli Shi, Mingguang He:
EyeGPT: Ophthalmic Assistant with Large Language Models. - Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen:
Offline Fictitious Self-Play for Competitive Games. - Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng:
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. - Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He:
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. - Zhe Feng, Christopher Liaw, Zixin Zhou:
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions. - Marta Andronic, George A. Constantinides:
NeuraLUT: Hiding Neural Network Density in Boolean Synthesizable Functions. - Ali Beikmohammadi, Sarit Khirirat, Sindri Magnússon:
Distributed Momentum Methods Under Biased Gradient Estimations. - Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott:
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. - Iasonas Nikolaou, Evimaria Terzi:
Team Formation amidst Conflicts. - Sabrina Drammis, Bowen Zheng, Karthik Srinivasan, Robert C. Berwick, Nancy A. Lynch, Robert Ajemian:
Parallel Algorithms for Exact Enumeration of Deep Neural Network Activation Regions. - Yuan Wang, Lokesh Kumar Sambasivan, Mingang Fu, Prakhar Mehrotra:
Pivoting Retail Supply Chain with Deep Generative Techniques: Taxonomy, Survey and Insights. - Miao Li, Ming-Bin Chen, Bo Tang, Shengbin Hou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Peng Cheng, Yi Luo:
NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications. - Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. - Chenxiao Zhou:
Analysis of Logistic Map for Pseudorandom Number Generation in Game Development. - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning. - Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho:
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes. - Ye Chen, Igor Couto, Wei Cai, Cong Fu, Bruno Dorneles:
SoftTiger: A Clinical Foundation Model for Healthcare Workflows. - Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. - Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal:
Teach LLMs to Phish: Stealing Private Information from Language Models. - Shai Volvovsky, Marco Marcassa, Mustafa Panbiharwala:
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases. - Zeju Cai, Jianguo Chen, Yuting Fan, Zibin Zheng, Keqin Li:
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions. - Qinghua Zhao, Vinit Ravishankar, Nicolas Garneau, Anders Søgaard:
Word Order and World Knowledge. - Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. - Jiandong Jin, Bowen Tang, Mingxuan Ma, Xiao Liu, Yunfei Wang, Qingnan Lai, Jia Yang, Changling Zhou:
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models. - Shunpan Liang, Xiang Li, Shi Mu, Chen Li, Yu Lei, Yulei Hou, Tengfei Ma:
Dual-Granularity Medication Recommendation Based on Causal Inference. - Zeling Zhang, Dongqi Cai, Yiran Zhang, Mengwei Xu, Shangguang Wang, Ao Zhou:
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission. - Margherita Martorana, Tobias Kuhn, Lise Stork, Jacco van Ossenbruggen:
Text classification of column headers with a controlled vocabulary: leveraging LLMs for metadata enrichment. - Philip A. Boeken, Onno Zoeter, Joris M. Mooij:
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift. - Yuan Wu:
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification. - Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar, Chulhong Min:
Time-bound Contextual Bio-ID Generation for Minimalist Wearables. - Kawana Stalin, Mikias Berhanu Mekoya:
Improving Android Malware Detection Through Data Augmentation Using Wasserstein Generative Adversarial Networks. - Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He:
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. - Salah Ghamizi, Jun Cao, Aoxiang Ma, Pedro Rodriguez:
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems. - Wenpin Hou, Zhicheng Ji:
A systematic evaluation of large language models for generating programming code. - Vladimir Baikalov, Evgeny Frolov:
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations. - Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He:
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. - Gabriele Iommazzo, Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti:
The Algorithm Configuration Problem. - Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy:
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. - Tian Gao, Soroush Nasiriany, Huihan Liu, Quantao Yang, Yuke Zhu:
PRIME: Scaffolding Manipulation Tasks with Behavior Primitives for Data-Efficient Imitation Learning. - Mingyu Chen, Xuezhou Zhang:
Scale-free Adversarial Reinforcement Learning. - James Flemings, Murali Annavaram:
Differentially Private Knowledge Distillation via Synthetic Text Generation. - Tobias Reinhard:
Semi-Automated Modular Formal Verification of Critical Software: Liveness and Completeness Thresholds. - Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino:
Transfer Learning for Security: Challenges and Future Directions. - Pradyumna Reddy, Ismail Elezi, Jiankang Deng:
G3DR: Generative 3D Reconstruction in ImageNet. - Milin Zhang, Mohammad Abdi, Shahriar Rifat, Francesco Restuccia:
Resilience of Entropy Model in Distributed Neural Networks. - Zack Fitzsimmons, Vignesh Viswanathan, Yair Zick:
On the Hardness of Fair Allocation under Ternary Valuations. - Yuhong Huang, Zhenshan Bing, Zitao Zhang, Genghang Zhuang, Kai Huang, Alois Knoll:
Optimizing Dynamic Balance in a Rat Robot via the Lateral Flexion of a Soft Actuated Spine. - Jianyu Zhang, Léon Bottou:
Fine-tuning with Very Large Dropout. - Vithursan Thangarasa, Mahmoud Salem, Shreyas Saxena, Kevin Leong, Joel Hestness, Sean Lie:
MediSwift: Efficient Sparse Pre-trained Biomedical Language Models. - Lang Cao, Jimeng Sun, Adam Cross:
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. - Tricia J. Ngoon, Sushil S., Angela Stewart, Ung-Sang Lee, Saranya Venkatraman, Neil Thawani, Prasenjit Mitra, Sherice N. Clarke, John Zimmerman, Amy Ogan:
ClassInSight: Designing Conversation Support Tools to Visualize Classroom Discussion for Personalized Teacher Professional Development. - Valdemar Vicente Graciano Neto, Diana Lorena Santos, Andrey Gonçalves França, Rafael Z. Frantz, Edson de Oliveira Jr., Ahmad Mohsin, Mohamad Kassab:
The Presence and the State-of-Practice of Software Architects in the Brazilian Industry - A Survey. - Haoying Zhou, Yiwei Jiang, Shang Gao, Shiyue Wang, Peter Kazanzides, Gregory S. Fischer:
Suturing Tasks Automation Based on Skills Learned From Demonstrations: A Simulation Study. - Xuan Li, Yun Wang, Bo Li:
Tree-Regularized Tabular Embeddings. - Federico Borra, Claudio Savelli, Giacomo Rosso, Alkis Koudounas, Flavio Giobergia:
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection. - Hamed Rahimi Nohooji, Holger Voos:
Nussbaum Function Based Approach for Tracking Control of Robot Manipulators. - Yinan Hu, Juntao Chen, Quanyan Zhu:
Understanding Police Force Resource Allocation using Adversarial Optimal Transport with Incomplete Information. - Olivia T. Zahn, Thomas L. Daniel, J. Nathan Kutz:
Motif distribution and function of sparse deep neural networks. - Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Abhishek Padmanabhan, A. Vinoth Kumar, Chetan Gupta:
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance. - Junlin Song, Antoine Richard, Miguel A. Olivares-Méndez:
Joint Spatial-Temporal Calibration for Camera and Global Pose Sensor. - Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Scaling Up Adaptive Filter Optimizers. - Saugat Aryal, Mark T. Keane:
Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides? - Panos Vassiliadis, Patrick Marcel, Faten El Outa, Verónika Peralta, Dimos Gkitsakis:
A Conceptual Model for Data Storytelling Highlights in Business Intelligence Environments. - Xiao Yu, Yunan Lu, Zhou Yu:
LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems. - Neha Verma, Maha Elbayad:
Merging Text Transformer Models from Different Initializations. - Emadodin Jandaghi, Dalton L. Stein, Adam Hoburg, Mingxi Zhou, Chengzhi Yuan:
Composite Distributed Learning and Synchronization of Nonlinear Multi-Agent Systems with Complete Uncertain Dynamics. - Syed Shabbir Ahmed, Mohammed Ayman Shalaby, Jerome Le Ny, James Richard Forbes:
Optimal Robot Formations: Balancing Range-Based Observability and User-Defined Configurations. - Hojat Allah Salehi, Farhad Shirani:
On Non-Interactive Simulation of Distributed Sources with Finite Alphabets. - Kimihiro Hasegawa, Nikhil Kandukuri, Susan Holm, Yukari Yamakawa, Teruko Mitamura:
Formulation Comparison for Timeline Construction using LLMs. - Noriaki Hirose, Dhruv Shah, Kyle Stachowicz, Ajay Sridhar, Sergey Levine:
SELFI: Autonomous Self-Improvement with Reinforcement Learning for Social Navigation. - Luis Adrián Lizama-Pérez:
Introducing a Novel Quantum-Resistant Secret Key Establishment Method. - Awni Altabaa, Zhuoran Yang:
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games. - Xiaohan Ding, Buse Çarik, Uma Sushmitha Gunturi, Valerie Reyna, Eugenia Ha Rim Rho:
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language. - Chenghao Lyu, Qi Fan, Philippe Guyard, Yanlei Diao:
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning. - Polina Tsvilodub, Hening Wang, Sharon Grosch, Michael Franke:
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods. - Tian Qin, Zhiwei Deng, David Alvarez-Melis:
Distributional Dataset Distillation with Subtask Decomposition. - Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. - Shizhe Lin, Ryan Zheng He Liu, Ladan Tahvildari:
FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests. - Ronald M. Caplan, Craig D. Johnston, Lars K. S. Daldoff, Jon A. Linker:
Advancing parabolic operators in thermodynamic MHD models II: Evaluating a Practical Time Step Limit for Unconditionally Stable Methods. - Xiangyuan Zhang, Saviz Mowlavi, Mouhacine Benosman, Tamer Basar:
Policy Optimization for PDE Control with a Warm Start. - Sean Wellington:
BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs). - Deniz Ünal, Sara Falleni, Kerem Enhos, Emrecan Demirors, Stefano Basagni, Tommaso Melodia:
Design and Evaluation of SEANet: a Software-defined Networking Platform for the Internet of Underwater Things. - Fulong Yao, Wanqing Zhao, Matthew Forshaw, Yang Song:
A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning. - Michal Nauman, Mateusz Ostaszewski, Marek Cygan:
A Case for Validation Buffer in Pessimistic Actor-Critic. - Charvi Rastogi, Xiangchen Song, Zhijing Jin, Ivan Stelmakh, Hal Daumé III, Kun Zhang, Nihar B. Shah:
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions. - Meshari Aljohani, Ravi Mukkamalai, Stephan Olariu:
Autonomous Strike UAVs for Counterterrorism Missions: Challenges and Preliminary Solutions. - Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Federated Learning via Lattice Joint Source-Channel Coding. - A. H. Abbas, Ivan S. Maksymov:
Reservoir Computing Using Measurement-Controlled Quantum Dynamics. - Giorgio Cignarale, Stephan Felber, Hugo Rincon Galeana:
A Sufficient Epistemic Condition for Solving Stabilizing Agreement. - Matthew J. Skiles, Joshua D. Rhodes, Michael E. Webber:
Assessing the Potential for Building Sector Retrofits to Mitigate ERCOT Electricity Shortfalls During Winter Storm Uri. - Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, Abdelrahman Mohamed, Muhammad Abdul-Mageed:
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks. - Wei Yi:
Nonlinear dynamics and stability analysis of locally-active Mott memristors using a physics-based compact model. - Jiacen Xu, Jack W. Stokes, Geoff McDonald, Xuesong Bai, David Marshall, Siyue Wang, Adith Swaminathan, Zhou Li:
AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks. - Mary Monroe, Bo Waggoner:
Public Projects with Preferences and Predictions. - Emi Zeger, Yifei Wang, Aaron Mishkin, Tolga Ergen, Emmanuel J. Candès, Mert Pilanci:
A Library of Mirrors: Deep Neural Nets in Low Dimensions are Convex Lasso Models with Reflection Features. - Ryan W. Gardner, Tadayoshi Kohno, Alec Yasinsac:
Attacking the Diebold Signature Variant - RSA Signatures with Unverified High-order Padding. - Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini:
GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. - Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. - Jiho Kim, Ray C. Flanagan, Noelle E. Haviland, Zeai Sun, Souad N. Yakubu, Edom A. Maru, Kenneth C. Arnold:
Towards Full Authorship with AI: Supporting Revision with AI-Generated Views. - Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun:
Neural Field Classifiers via Target Encoding and Classification Loss. - Noah Ford, Ryan W. Gardner, Austin Juhl, Nathan Larson:
Continuous Mean-Zero Disagreement-Regularized Imitation Learning (CMZ-DRIL). - Melanie Subbiah, Sean Zhang, Lydia B. Chilton, Kathleen R. McKeown:
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers. - Songhua Yang, Xinke Jiang, Hanjie Zhao, Wenxuan Zeng, Hongde Liu, Yuxiang Jia:
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis. - Philippe Nadeau, Miguel Rogel Garcia, Emmett Wise, Jonathan Kelly:
Automated Continuous Force-Torque Sensor Bias Estimation. - Weizhe Yuan, Pengfei Liu, Matthias Gallé:
LLMCRIT: Teaching Large Language Models to Use Criteria. - Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. - Heling Zhang, Lillian J. Ratliff, Roy Dong:
Distribution-Free Guarantees for Systems with Decision-Dependent Noise. - Rishi Singhal, Srinath Srinivasan:
Extracting Usable Predictions from Quantized Networks through Uncertainty Quantification for OOD Detection. - Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers, Itai Cohen, Joshua J. Waterfall, James P. Sethna:
Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data. - Junxian Li, Bin Shi, Erfei Cui, Hua Wei, Qinghua Zheng:
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework. - Shivchander Sudalairaj, Abhishek Bhandwaldar, Aldo Pareja, Kai Xu, David D. Cox, Akash Srivastava:
LAB: Large-Scale Alignment for ChatBots. - Shufan Pei, Junhong Lin, Wenxi Liu, Tiesong Zhao, Chia-Wen Lin:
Beyond Night Visibility: Adaptive Multi-Scale Fusion of Infrared and Visible Images. - (Withdrawn) A Strongly Subcubic Combinatorial Algorithm for Triangle Detection with Applications.
- Maxwell Ahlquist, Rianna M. Jitosho, Jiawen Bao, Allison M. Okamura:
phloSAR: a Portable, High-Flow Pressure Supply and Regulator Enabling Untethered Operation of Large Pneumatic Soft Robots. - Sindhu B. Hegde, Rudrabha Mukhopadhyay, C. V. Jawahar, Vinay P. Namboodiri:
Towards Accurate Lip-to-Speech Synthesis in-the-Wild. - Nicholus R. Clinkinbeard, Reza Montazami, Nicole N. Hashemi:
Accelerating Hydrodynamic Fabrication of Microstructures using Deep Neural Networks. - Zeyu Huang, Xinyi Cao, Yuanhao Zhang, Xiaojuan Ma:
Sharing Frissons among Online Video Viewers: Exploring the Design of Affective Communication for Aesthetic Chills. - Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang:
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. - Shikun Liu, Deyu Zou, Han Zhao, Pan Li:
Pairwise Alignment Improves Graph Domain Adaptation. - Kadhim Hayawi, Sakib Shahriar, Mohamed Adel Serhani, Eiman Alothali:
Inevitable-Metaverse: A Novel Twitter Dataset for Public Sentiments on Metaverse. - Ijaz Ahmad, Ijaz Ahmad, Erkki Harjula:
Adaptive Security in 6G for Sustainable Healthcare. - Ziting Wen, Oscar Pizarro, Stefan B. Williams:
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models. - Linh Vu, Thai-Thanh Nguyen, Bang Le-Huy Nguyen, Md Isfakul Anam, Tuyen Vu:
Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships. - Yafei Zhang, Shen Zhou, Huafeng Li:
Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing. - Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed:
Distilling Text Style Transfer With Self-Explanation From LLMs. - Feifei Wang:
Face Swap via Diffusion Model. - Zhihe Zhang:
Grid-based Fast and Structural Visual Odometry. - Hyungho Na, Yunkyeong Seo, Il-Chul Moon:
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning. - Yunhao Zhang, Xiaohan Zhang, Chong Li, Shaonan Wang, Chengqing Zong:
MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models. - Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Boyu Wu, Fanjiang Xu, Qing Wang:
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction. - Lianghao Xia, Ben Kao, Chao Huang:
OpenGraph: Towards Open Graph Foundation Models. - Wei Xu, Yi Wan:
ELA: Efficient Local Attention for Deep Convolutional Neural Networks. - Kanchana Vaishnavi Gandikota, Paramanand Chandramouli:
Text-guided Explorable Image Super-resolution. - Giada Devittori, Mehdi Akeddar, Alexandra Retevoi, Fabian Schneider, Viktoria Cvetkova, Daria Dinacci, Antonella Califfi, Paolo Rossi, Claudio Petrillo, Tobias Kowatsch, Olivier Lambercy:
Towards RehabCoach: Design and Preliminary Evaluation of a Conversational Agent Supporting Unsupervised Therapy after Stroke. - Salman Faroz:
Sensitivity Analysis On Loss Landscape. - Yiming Zeng, Junhui Hou, Qijian Zhang, Siyu Ren, Wenping Wang:
Dynamic 3D Point Cloud Sequences as 2D Videos. - Chu Wang, Jinhong Wu, Yanzhi Wang, Zhijian Zha, Qi Zhou:
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems. - Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty:
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data. - Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu:
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. - Minsung Kang, Fan Wang, Kai Kumano, Tomoyoshi Ito, Tomoyoshi Shimobaba:
Neural radiance fields-based holography [Invited]. - Oren Sultan, Yonatan Bitton, Ron Yosef, Dafna Shahaf:
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies. - Chaoyan Huang, Zhongming Wu, Tieyong Zeng:
Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization. - Zhongming Wu, Chaoyan Huang, Tieyong Zeng:
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. - Rahul Gopinath, Philipp Görz:
Mutation Analysis with Execution Taints. - Xinying Lu, Doudou Zhang, Jianli Xiao:
A Hybrid Model for Traffic Incident Detection based on Generative Adversarial Networks and Transformer Model. - Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu:
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. - Hao Nie, Wei Wang, Peng Xu, Xianglong Zhang, Laurence T. Yang, Kaitai Liang:
Query Recovery from Easy to Hard: Jigsaw Attack against SSE. - Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation. - Lorenz Graf-Vlachy, Stefan Wagner:
Different Debt: An Addition to the Technical Debt Dataset and a Demonstration Using Developer Personality. - Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang:
Envy-Free House Allocation with Minimum Subsidy. - Weihao Zeng, Keqing He, Yejie Wang, Dayuan Fu, Weiran Xu:
BootTOD: Bootstrap Task-oriented Dialogue Representations by Aligning Diverse Responses. - Xuanlei Zhao, Bin Jia, Haotian Zhou, Ziming Liu, Shenggan Cheng, Yang You:
HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices. - Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu:
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. - Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. - Chenchen Tao, Chong Wang, Yuexian Zou, Xiaohao Peng, Jiafei Wu, Jiangbo Qian:
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection. - Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, Roger Woodman:
Run-time Introspection of 2D Object Detection in Automated Driving Systems Using Learning Representations. - Guangyang Zeng, Qingcheng Zeng, Xinghan Li, Biqiang Mu, Jiming Chen, Ling Shi, Junfeng Wu:
Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation. - Noe Marcelo Yungaicela-Naula, Vishal Sharma, Sandra Scott-Hayward:
Misconfiguration in O-RAN: Analysis of the impact of AI/ML. - Connor York, Zachary R. Madin, Paul J. O'Dowd, Edmund R. Hunt:
Shaping Multi-Robot Patrol Performance with Heterogeneity in Individual Learning Behavior. - Dongli Liu, Wei Wang, Peng Xu, Laurence T. Yang, Bo Luo, Kaitai Liang:
d-DSE: Distinct Dynamic Searchable Encryption Resisting Volume Leakage in Encrypted Databases. - Pedro H. V. Valois, João Macedo, Leo S. F. Ribeiro, Jefersson A. dos Santos, Sandra Avila:
Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery. - Ha-Thanh Nguyen, Ken Satoh:
Balancing Exploration and Exploitation in LLM using Soft RLLF for Enhanced Negation Understanding. - Jeba N, Anas S, Anuragav S, Abhishek R, Sachin K:
Evault for legal records. - Laurestine Bradford, Timothy John O'Donnell, Siva Reddy:
A Compositional Typed Semantics for Universal Dependencies. - Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-Chul Moon:
Training Unbiased Diffusion Models From Biased Dataset. - Philip Feldman, James R. Foulds, Shimei Pan:
RAGged Edges: The Double-Edged Sword of Retrieval-Augmented Chatbots. - Trym Tengesdal, Tom Arne Pedersen, Tor Arne Johansen:
A Comparative Study of Rapidly-exploring Random Tree Algorithms Applied to Ship Trajectory Planning and Behavior Generation. - Séamus Lankford, Haithem Afli, Andy Way:
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021. - Shanghaoran Quan:
DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling. - Sankalpa Ghose, Yip Fai Tse, Kasra Rasaee, Jeff Sebo, Peter Singer:
The Case for Animal-Friendly AI. - Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao Qin:
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment. - Halyun Jeong, Deanna Needell, Elizaveta Rebrova:
Stochastic gradient descent for streaming linear and rectified linear systems with Massart noise. - Stephanie Eckman, Barbara Plank, Frauke Kreuter:
The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models. - Shuo Yang, Zirui Shang, Yongqi Wang, Derong Deng, Hongwei Chen, Qiyuan Cheng, Xinxiao Wu:
Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning. - Jiahao Cui, Jiale Duan, Binyan Luo, Hang Cao, Wang Guo, Haifeng Li:
SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters. - Salaheldin Mohamed:
TCIG: Two-Stage Controlled Image Generation with Quality Enhancement through Diffusion. - Xinyi Yu, Ling Yan, Pengtao Jiang, Hao Chen, Bo Li, Lin Yuanbo Wu, Linlin Ou:
Boosting Box-supervised Instance Segmentation with Pseudo Depth. - Kasra Ahmadi, Saeed Aghapour, Mehran Mozaffari Kermani, Reza Azarderakhsh:
Efficient Algorithm Level Error Detection for Number-Theoretic Transform Assessed on FPGAs. - Jiayuan Su, Jing Luo, Hongwei Wang, Lu Cheng:
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access. - Jamie Hayes, Ilia Shumailov, Eleni Triantafillou, Amr Khalifa, Nicolas Papernot:
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy. - André Artelt, Andreas Gregoriades:
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations. - Flor Miriam Plaza del Arco, Alba Curry, Amanda Cercas Curry, Dirk Hovy:
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions. - Xinhang Xu, Muqing Cao, Shenghai Yuan, Thien Hoang Nguyen, Thien-Minh Nguyen, Lihua Xie:
A Cost-Effective Cooperative Exploration and Inspection Strategy for Heterogeneous Aerial System. - Junwen Xiong, Peng Zhang, Tao You, Chuanyue Li, Wei Huang, Yufei Zha:
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction. - Jose Vargas Quiros, Chirag Raman, Stephanie Tan, Ekin Gedik, Laura Cabrera Quiros, Hayley Hung:
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild. - Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo:
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. - Chenhui Deng, Zichao Yue, Zhiru Zhang:
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. - Doosan Baek, Sanghyun Kim, Seung-Woo Seo, Sang-Hyun Lee:
Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments. - Ayana Ghosh, Maxim A. Ziatdinov, Sergei V. Kalinin:
Active Deep Kernel Learning of Molecular Functionalities: Realizing Dynamic Structural Embeddings. - Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello:
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. - Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang:
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving. - Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan:
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. - Lochan Basyal, Bijay Gaudel:
Augmenting Automation: Intent-Based User Instruction Classification with Machine Learning. - Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su:
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. - Valentina Zaccaria, David Dandolo, Chiara Masiero, Gian Antonio Susto:
AcME-AD: Accelerated Model Explanations for Anomaly Detection. - Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen:
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation. - Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. - Jian Zhong, Chen Chen, Qiming Yang, Dafu Liu, Wentao Shen, Chenlin Ji, Zhaohong Bie:
Resilient Mobile Energy Storage Resources Based Distribution Network Restoration in Interdependent Power-Transportation-Information Networks. - Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh:
Accelerating Greedy Coordinate Gradient via Probe Sampling. - Jian Zhong, Chen Chen, Zhaohong Bie, Mohammad Shahidehpour:
Strategic SDN-based Microgrid Formation for Managing Communication Failures in Distribution System Restoration. - Ray Zhang, Jingwei Song, Xiang Gao, Junzhe Wu, Tianyi Liu, Jinyuan Zhang, Ryan Eustice, Maani Ghaffari:
RKHS-BA: A Semantic Correspondence-Free Multi-View Registration Framework with Global Tracking. - Hamza Kheddar, Mustapha Hemis, Yassine Himeur:
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey. - Jian Zhong, Chen Chen, Young-Jin Kim, Yuxiong Huang, Mengjie Teng, Yiheng Bian, Zhaohong Bie:
Resilient Microgrid Formation Considering Communication Interruptions. - Jian Zhong, Chen Chen, Yuqi Qian, Yiheng Bian, Yuxiong Huang, Zhaohong Bie:
Secure and Scalable Network Slicing with Plug-and-Play Support for Power Distribution System Communication Networks. - Subhajit Sahu:
GSL-LPA: Fast Label Propagation Algorithm (LPA) for Community Detection with no Internally-Disconnected Communities. - Katia Genovese:
Single-image camera calibration with model-free distortion correction. - Dinshaw S. Balsara, Deepak Bhoriya, Chi-Wang Shu, Harish Kumar:
Efficient Alternative Finite Difference WENO Schemes for Hyperbolic Conservation Laws. - Qie Sima, Yu Luo, Tianying Ji, Fuchun Sun, Huaping Liu, Jianwei Zhang:
Smooth Computation without Input Delay: Robust Tube-Based Model Predictive Control for Robot Manipulator Planning. - Dinshaw S. Balsara, Deepak Bhoriya, Chi-Wang Shu, Harish Kumar:
Efficient Alternative Finite Difference WENO Schemes for Hyperbolic Systems with Non-Conservative Products. - Nicholas Pochinkov, Nandi Schoots:
Dissecting Language Models: Machine Unlearning via Selective Pruning. - Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu:
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach. - Mohammad Dehghani:
A comprehensive cross-language framework for harmful content detection with the aid of sentiment analysis. - Sam Hays, Jules White:
Employing LLMs for Incident Response Planning and Review. - Martin Marek, Brooks Paige, Pavel Izmailov:
Can a Confident Prior Replace a Cold Posterior? - Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava:
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. - Aman Aryan, Manan Modi, Indranil Saha, Rupak Majumdar, Swarup Mohalik:
Optimal Integrated Task and Path Planning and Its Application to Multi-Robot Pickup and Delivery. - Zeyu Xie, Baihan Li, Xuenan Xu, Mengyue Wu, Kai Yu:
Enhancing Audio Generation Diversity with Visual Information. - Venkatesh Jatla, Sravani Teeparthi, Ugesh Egala, Sylvia Celedon-Pattichis, Marios S. Pattichis:
Fast Low-parameter Video Activity Localization in Collaborative Learning Environments. - Aman Malhotra, Selma Saidi:
Summary Paper: Use Case on Building Collaborative Safe Autonomous Systems-A Robotdog for Guiding Visually Impaired People. - Omri Uzan, Craig W. Schmidt, Chris Tanner, Yuval Pinter:
Greed is All You Need: An Evaluation of Tokenizer Inference Methods. - Xiaofan Li, Jin Yang, Jiaqi Chen, Yuzhe Tang, Xing Gao:
Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications. - Carsten Carstensen, Norbert Heuer:
A fractional-order trace-dev-div inequality. - Stéphane Grumbach, Giorgio Resta, Riccardo Torlone:
Autonomous Intelligent Systems: From Illusion of Control to Inescapable Delusion. - Shanuja Sasi, Onur Günlü:
Rate-limited Shuffling for Distributed Computing. - Oscar Amador, Ignacio Soto, María Calderón, Manuel Urueña:
Experimental Evaluation of the ETSI DCC Adaptive Approach and Related Algorithms. - Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton:
A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks. - Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro:
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection. - Victor Coscrato, Derek Bridge:
Supplier Recommendation in Online Procurement. - Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew S. Lan:
Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. - Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes:
ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation. - Meliksah Turker, Mehmet Erdi Ari, Aydin Han:
VBART: The Turkish LLM. - Meliksah Turker, Mehmet Erdi Ari, Aydin Han:
VNLP: Turkish NLP Package. - Izbassar Assylzhan, Pakizar Shamoi:
Image-Based Dietary Assessment: A Healthy Eating Plate Estimation System. - Michael Collins, Jyotirmoy V. Deshmukh, Dristi Dinesh, Mukund Raghothaman, Srivatsan Ravi, Yuan Xia:
Superflows: A New Tool for Forensic Network Flow Analysis. - Quan Nguyen, Nishant A. Mehta:
Near-optimal Per-Action Regret Bounds for Sleeping Bandits. - Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll:
TUMTraf V2X Cooperative Perception Dataset. - Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang:
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. - Tyler Hummer, Sam Kriegman:
A non-cubic space-filling modular robot. - Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr:
NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. - Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin:
DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. - Brett Leroux, Luis Rademacher:
Euclidean distance compression via deep random features. - Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman:
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. - Hrishav Das, Eliot Nychka, Raktim Bhattacharya:
Quantifying Maximum Actuator Degradation for a Given H2/H∞ Performance with Full-State Feedback Control. - Pedram Rabiee, Mohammad Hassan Saidi:
Implementation of Linear Parameter Varying System to Investigate the Impact of Varying Flow Rate on the Lithium-ion Batteries Thermal Management System Performance. - Leif Andersen, Cameron Moy, Stephen Chang, Matthias Felleisen:
Making Hybrid Languages: A Recipe. - Soumya Ganguly, Khoa Tran, Rahul Sarkar:
Uniform Ck Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations. - Tasnim Ahmed, Salimur Choudhury:
LM4OPT: Unveiling the Potential of Large Language Models in Formulating Mathematical Optimization Problems. - Ahmed AlSharifin, Muayyad Megdadi, Amani M. Shatnawi, Anas M. R. Alsobeh, Aya Akkawi:
The Effectiveness of a Training Program Based on Health Education to Improve Health Empowerment Level among Refugees in Jordan. - Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak:
Mitigating the Bias in the Model for Continual Test-Time Adaptation. - Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu:
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation. - Zan-Kai Chong, Hiroyuki Ohsaki, Cheng-Kuan Bryan Ng:
Improve Cost Efficiency of Active Learning over Noisy Dataset. - Anas M. R. Alsobeh, Ahlam Aloudat:
The Repercussions of the COVID-19 Pandemic on Higher Education and its implications for Syrian Refugees Students (An Analytical Descriptive Study). - Danish Gufran, Saideep Tiku, Sudeep Pasricha:
SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization. - Anas M. R. Alsobeh:
OSM: Leveraging Model Checking for Observing Dynamic 1 behaviors in Aspect-Oriented Applications. - Vincenzo Liguori:
Efficient FIR filtering with Bit Layer Multiply Accumulator. - Zan-Kai Chong, Hiroyuki Ohsaki, Bok-Min Goi:
Improving Uncertainty Sampling with Bell Curve Weight Function. - Reilly Browne:
An Overview of Minimum Convex Cover and Maximum Hidden Set. - Peyman Khordadpour, Saeed Ahmadi:
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing. - Ferhat Erata, Claire Gardent, Bikash Gyawali, Anastasia Shimorina, Yvan Lussaud, Bedir Tekinerdogan, Geylani Kardas, Anne Monceaux:
ModelWriter: Text & Model-Synchronized Document Engineering Platform. - Joon Suk Huh, Ellen Vitercik, Kirthevasan Kandasamy:
Bandit Profit-maximization for Targeted Marketing. - Mieradilijiang Maimaiti, Yuanhang Zheng, Ji Zhang, Fei Huang, Yue Zhang, Wenpei Luo, Kaiyu Huang:
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching. - Katelyn Morrison, Shamsi T. Iqbal, Eric Horvitz:
AI-Powered Reminders for Collaborative Tasks: Experiences and Futures. - Linhan Xia, Jinyuan Zhang, Bohan Wen:
Optimization decision model of vegetable stock and pricing based on TCN-Attention and genetic algorithm. - Linhan Xia, Junbang Liu, Tong Wu:
Depth Estimation Algorithm Based on Transformer-Encoder and Feature Fusion. - Huixuan Zhang, Junzhe Zhang, Xiaojun Wan:
Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective. - Mengjuan Chen, Qing Li, Kohei Shimasaki, Shaopeng Hu, Qingyi Gu, Idaku Ishii:
A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing. - Jie Feng, Hao Huang, Junpeng Zhang, Weisheng Dong, Dingwen Zhang, Licheng Jiao:
SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images.