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ORCIDCoRR, June 2023
- Julian Moosmann, Marco Giordano, Christian Vogt, Michele Magno:
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers. - Jesper Amilon, Zafer Esen, Dilian Gurov, Christian Lidström, Philipp Rümmer:
Automatic Program Instrumentation for Automatic Verification (Extended Technical Report). - Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. - Hezhe Qiao, Guansong Pang
:
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. - Daniel da Silva Junior, Paulo Roberto dos S. Corval, Aline Paes, Daniel de Oliveira:
Datasets for Portuguese Legal Semantic Textual Similarity: Comparing weak supervision and an annotation process approaches. - Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean:
Brainformers: Trading Simplicity for Efficiency. - Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. - Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo, Rocío González-Díaz:
Explainability in Simplicial Map Neural Networks. - Alokendu Mazumder, Pagadala Krishna Murthy, Punit Rathore:
A Self-Supervised Approach for Cluster Assessment of High-Dimensional Data. - Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao:
Graph Neural Network for spatiotemporal data: methods and applications. - G. Jeyakodi, Arkadeep Pal, Debapratim Gupta, K. Sarukeswari, V. Amouda:
Machine Learning Approach for Cancer Entities Association and Classification. - Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. - Yuwen Li, Miao Xiong, Bryan Hooi:
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks. - Shadi Haj-Yahia, Omar Mansour, Tomer Toledo:
Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models. - Walid S. Saba:
Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale. - Neil Christian R. Riego, Danny Bell Villarba:
Utilization of Multinomial Naive Bayes Algorithm and Term Frequency Inverse Document Frequency (TF-IDF Vectorizer) in Checking the Credibility of News Tweet in the Philippines. - Jonathan Roberts, Timo Lüddecke, Sowmen Das, Kai Han, Samuel Albanie:
GPT4GEO: How a Language Model Sees the World's Geography. - Durgesh Nandini, Ute Schmid:
Explaining Hate Speech Classification with Model Agnostic Methods. - Salahaldeen Rababa, Asma Yamin, Shuxia Lu, Ashraf Obaidat:
Predicting Heart Disease and Reducing Survey Time Using Machine Learning Algorithms. - Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon:
Self-Verification Improves Few-Shot Clinical Information Extraction. - Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. - Nghi D. Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven C. H. Hoi:
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM. - Célina Treuillier, Sylvain Castagnos, Armelle Brun:
A Multi-Factorial Analysis of Polarization on Social Media. - Geraud Nangue Tasse, Tamlin Love, Mark Nemecek, Steven James, Benjamin Rosman:
ROSARL: Reward-Only Safe Reinforcement Learning. - Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang:
Symmetry-Aware Robot Design with Structured Subgroups. - Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Polyvios Pratikakis, Sotiris Ioannidis:
BotArtist: Twitter bot detection Machine Learning model based on Twitter suspension. - Sadi Alawadi, Khalid Alkharabsheh, Fahed Alkhabbas, Victor R. Kebande, Feras M. Awaysheh, Fabio Palomba:
FedCSD: A Federated Learning Based Approach for Code-Smell Detection. - Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korosec, Tome Eftimov:
Assessing the Generalizability of a Performance Predictive Model. - Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
Graph-based methods coupled with specific distributional distances for adversarial attack detection. - Chun-Wei Tsai, Yi-Cheng Yang, Tzu-Chieh Tang, Che-Wei Hsu:
Space Net Optimization. - Hye-jin Shim, Rosa González Hautamäki, Md. Sahidullah, Tomi Kinnunen:
How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning. - Robert Tjarko Lange, Henning Sprekeler:
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability. - Nina L. Corvelo Benz, Manuel Gomez Rodriguez:
Human-Aligned Calibration for AI-Assisted Decision Making. - Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang:
CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. - Sarah K. Amer:
AI Imagery and the Overton Window. - Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai:
Adaptive Coordination in Social Embodied Rearrangement. - Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. - Manuel Klar, Giacomo Capodaglio, Marta D'Elia, Christian Glusa, Max D. Gunzburger, Christian Vollmann:
A scalable domain decomposition method for FEM discretizations of nonlocal equations of integrable and fractional type. - Roy Laurens, Edo Christianto, Bruce Caulkins, Cliff C. Zou:
Side-Channel VoIP Profiling Attack against Customer Service Automated Phone System. - Liat Bezalel, Eyal Orgad:
MetaXLR - Mixed Language Meta Representation Transformation for Low-resource Cross-lingual Learning based on Multi-Armed Bandit. - Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. - Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Toufique Ahmed, Premkumar T. Devanbu:
Majority Rule: better patching via Self-Consistency. - Peiling Lu, Xin Xu, Chenfei Kang, Botao Yu, Chengyi Xing, Xu Tan, Jiang Bian:
MuseCoco: Generating Symbolic Music from Text. - Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Additional Positive Enables Better Representation Learning for Medical Images. - Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Etienne Lord:
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture. - Angtian Wang, Wufei Ma, Alan L. Yuille, Adam Kortylewski:
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. - Aaron Mishkin, Mert Pilanci:
Optimal Sets and Solution Paths of ReLU Networks. - Jiayi Xu, Han-Wei Shen:
VMap: An Interactive Rectangular Space-filling Visualization for Map-like Vertex-centric Graph Exploration. - Huiyuan Lai, Antonio Toral, Malvina Nissim:
Multilingual Multi-Figurative Language Detection. - Chunliu Wang, Huiyuan Lai, Malvina Nissim, Johan Bos:
Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation. - Massimo Lauria, Jakob Nordström:
Graph Colouring is Hard for Algorithms Based on Hilbert's Nullstellensatz and Gröbner Bases. - Junyi Zhu, Ruicong Yao, Matthew B. Blaschko:
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning. - Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, José García Rodríguez:
Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects. - Matthew Jagielski:
A Note On Interpreting Canary Exposure. - Clara Lacroce, Borja Balle, Prakash Panangaden, Guillaume Rabusseau:
Optimal Approximate Minimization of One-Letter Weighted Finite Automata. - Nefeli Bountouni, Sotiris Koussouris, Alexandros Vasileiou, Stylianos A. Kazazis:
A Holistic Framework for Safeguarding of SMEs-A Case Study. - Tong Li, Zhihao Wang, Liangying Shao, Xuling Zheng, Xiaoli Wang, Jinsong Su:
A Sequence-to-Sequence&Set Model for Text-to-Table Generation. - Aekta Aggarwal, Helge Holden, Ganesh Vaidya:
On the accuracy of the finite volume approximations to nonlocal conservation laws. - Ashok Cutkosky, Aaron Defazio, Harsh Mehta:
Mechanic: A Learning Rate Tuner. - Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. - Deepa Krishnaswamy, Dennis Bontempi, Vamsi Thiriveedhi, Davide Punzo, David A. Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov:
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations. - Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. - Jennifer J. Schnur, Nitesh V. Chawla:
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health. - Dan Edidin, Matthew Satriano:
Orbit recovery for band-limited functions. - Haroon Ahmad, Ceren Gürkan:
eXtended Hybridizable Discontinous Galerkin (X-HDG) Method for Linear Convection-Diffusion Equations on Unfitted Domains. - Sukru Yaren Gelbal, Mustafa Ridvan Cantas, Bilin Aksun Güvenç, Levent Guvenç:
Virtual and Real Data Populated Intersection Visualization and Testing Tool for V2X Application Development. - Nitay Calderon, Naveh Porat, Eyal Ben-David, Zorik Gekhman, Nadav Oved, Roi Reichart:
Measuring the Robustness of Natural Language Processing Models to Domain Shifts. - Rie Johnson, Tong Zhang:
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training. - Pengfei Li, Jianyi Yang, Shaolei Ren:
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees. - Alex Altair:
A Comparison of Decision Algorithms on Newcomblike Problems. - Nicholas Pangakis, Samuel Wolken, Neil Fasching:
Automated Annotation with Generative AI Requires Validation. - Haopeng Zhang, Xiao Liu, Jiawei Zhang:
Contrastive Hierarchical Discourse Graph for Scientific Document Summarization. - Chenghao Wang:
LeggedWalking on Inclined Surfaces. - Cameron Smith, Yilun Du, Ayush Tewari, Vincent Sitzmann:
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow. - Vedant Nanda, Till Speicher, John P. Dickerson, Soheil Feizi, Krishna P. Gummadi, Adrian Weller:
Diffused Redundancy in Pre-trained Representations. - Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Léonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin, Idan Szpektor:
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback. - Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani:
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. - Guangyao Zheng, Shuhao Lai, Vladimir Braverman, Michael A. Jacobs, Vishwa S. Parekh:
Multi-environment lifelong deep reinforcement learning for medical imaging. - Gautam Yadav, Ying-Jui Tseng, Xiaolin Ni:
Contextualizing Problems to Student Interests at Scale in Intelligent Tutoring System Using Large Language Models. - Hao Wu, Shu Liu, Xiaojing Ye, Haomin Zhou:
Parameterized Wasserstein Hamiltonian Flow. - Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang:
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption. - Ziang Xu, Jens Rittscher, Sharib Ali:
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis. - Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. - Jiashun Wang, Xueting Li, Sifei Liu, Shalini De Mello, Orazio Gallo, Xiaolong Wang, Jan Kautz:
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters. - Keyi Chen, Francesco Orabona:
Generalized Implicit Follow-The-Regularized-Leader. - Adrian Shuai Li, Elisa Bertino, Rih-Teng Wu, Ting-Yan Wu:
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation. - Yan Pan, Yuanzhi Li:
Toward Understanding Why Adam Converges Faster Than SGD for Transformers. - Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan:
Representation Reliability and Its Impact on Downstream Tasks. - Santosh Kesiraju, Marek Sarvas, Tomás Pavlícek, Cécile Macaire, Alejandro Ciuba:
Strategies for improving low resource speech to text translation relying on pre-trained ASR models. - Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. - Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanovic:
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning. - Patrick Lee, Iyanuoluwa Shode, Alain Chirino Trujillo, Yuan Zhao, Olumide Ebenezer Ojo, Diana Cuevas Plancarte, Anna Feldman, Jing Peng:
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms. - Peyman Gholami, Robert Xiao:
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images. - Jakob Bossek, Christian Grimme:
On Single-Objective Sub-Graph-Based Mutation for Solving the Bi-Objective Minimum Spanning Tree Problem. - Mustafa Ridvan Cantas, Levent Güvenç:
Customized Co-Simulation Environment for Autonomous Driving Algorithm Development and Evaluation. - Kelly Blincoe, Markus Luczak-Rösch, Tim Miller, Matthias Galster:
Human-centric Literature on Trust for SfTI Veracity Spearhead. - Skyler Wang, Ned Cooper, Margaret Eby, Eun Seo Jo:
From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT's Impact through Disruptive Events. - Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski:
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models. - Zhengyang Liu, Stefan Mada, John Regehr:
Minotaur: A SIMD-Oriented Synthesizing Superoptimizer. - Pi-Yueh Chuang, Lorena A. Barba:
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding. - André Brasil Vieira Wyzykowski, Anil Kumar Jain:
A Universal Latent Fingerprint Enhancer Using Transformers. - Anurag Bhattacharyya, Jin-Young Kim, Lee R. Alacoque, Kai A. James:
Bio-Inspired 4D-Printed Mechanisms with Programmable Morphology. - Shampa Banik, Trapa Banik, S. M. Mostaq Hossain, Sohag Kumar Saha:
Implementing Man-in-the-Middle Attack to Investigate Network Vulnerabilities in Smart Grid Test-bed. - Maxwell Horton, Sachin Mehta, Ali Farhadi, Mohammad Rastegari:
Bytes Are All You Need: Transformers Operating Directly On File Bytes. - Nasif Imtiaz, Preya Shabrina, Laurie A. Williams:
Trusting code in the wild: A social network-based centrality rating for developers in the Rust ecosystem. - Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama:
Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space. - Hugo Prod'homme, Philipp del Hougne:
Efficient Computation of Physics-Compliant Channel Realizations for (Rich-Scattering) RIS-Parametrized Radio Environments. - Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. - Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs:
Fine-Grained Property Value Assessment using Probabilistic Disaggregation. - Xue Xia, Pong Eksombatchai, Nikil Pancha, Dhruvil Deven Badani, Po-Wei Wang, Neng Gu, Saurabh Vishwas Joshi, Nazanin Farahpour, Zhiyuan Zhang, Andrew Zhai:
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. - Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer:
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. - Ricardo Legarda-Saenz, Jorge L. Flores, Manuel Servin, Anabel Martín-González:
Wavefront reconstruction of discontinuous phase objects from optical deflectometry. - Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Amina Mardiyyah Rufai, Sahib Singh:
AfriNames: Most ASR models "butcher" African Names. - Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin:
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm. - Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael W. Mahoney, Amir Gholami:
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior. - Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman:
Maximal Domain Independent Representations Improve Transfer Learning. - Vrushabh Zinage, Ali Reza Pedram, Takashi Tanaka:
Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation. - Banghua Zhu, Mingyu Ding, Philip L. Jacobson, Ming Wu, Wei Zhan, Michael I. Jordan, Jiantao Jiao:
Doubly Robust Self-Training. - Jian Ding, Zhangsong Li:
A polynomial-time iterative algorithm for random graph matching with non-vanishing correlation. - Junsoo Oh, Chulhee Yun:
Provable Benefit of Mixup for Finding Optimal Decision Boundaries. - Quentin F. Stout:
Best Lp Isotonic Regressions, p∈{0, 1, ∞}. - Shuhei Kudo, Yusaku Yamamoto, Takeo Hoshi:
A fast and accurate computation method for reflective diffraction simulations. - André Brasil Vieira Wyzykowski, Anil K. Jain:
Accelerated Fingerprint Enhancement: A GPU-Optimized Mixed Architecture Approach. - Changhao Wu, Yuanchun Li, Mengwei Xu, Chongbin Guo, Zengshan Yin, Weiwei Gao, Chuanxiu Chi:
A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms. - Shuai Feng, Maopeng Ran, Hideaki Ishii, Shengyuan Xu:
Dynamic quantized consensus under DoS attacks: Towards a tight zooming-out factor. - Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. - Anahita Doosti, Matthew Guzdial:
Transfer Learning for Underrepresented Music Generation. - Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea:
Autism Disease Detection Using Transfer Learning Techniques: Performance Comparison Between Central Processing Unit vs Graphics Processing Unit Functions for Neural Networks. - Mst. Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Asadur Rahman, Atef Mohamed, Mohammad Ashiqur Rahman, Akond Rahman, Fan Wu:
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. - Maouche Youcef:
Linear codes with arbitrary dimensional hull and pure LCD code. - Andrea Tagliabue, Jonathan P. How:
Efficient Deep Learning of Robust Policies from MPC using Imitation and Tube-Guided Data Augmentation. - Aaron Serianni, Jugal Kalita:
Training-free Neural Architecture Search for RNNs and Transformers. - Philipp Hacker:
Sustainable AI Regulation. - Hossein Adeli, Seoyoung Ahn, Nikolaus Kriegeskorte, Gregory J. Zelinsky:
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans. - Manisha Senadeera, Thommen Karimpanal George, Sunil Gupta, Stephan Jacobs, Santu Rana:
EMOTE: An Explainable architecture for Modelling the Other Through Empathy. - Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra:
Transformers learn to implement preconditioned gradient descent for in-context learning. - Jared Spang:
Robust Estimation of Surface Curvature Information from Point Cloud Data. - Shinjini Ghosh, Sagnik Anupam:
CapText: Large Language Model-based Caption Generation From Image Context and Description. - Anzhu Yu, Wenjun Huang, Qing Xu, Qun Sun, Wenyue Guo, Song Ji, Bowei Wen, Chunping Qiu:
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges. - Juan Pablo Vigneaux:
On the entropy of rectifiable and stratified measures. - Hai Jiang, Ao Luo, Songchen Han, Haoqiang Fan, Shuaicheng Liu:
Low-Light Image Enhancement with Wavelet-based Diffusion Models. - Xianjin Yang, Houman Owhadi:
A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes. - Amy Rathore, Marina Blanton, Marco Gaboardi, Lukasz Ziarek:
A Formal Model for Secure Multiparty Computation. - Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto:
Prompt Algebra for Task Composition. - Mohammed Alkhowaiter, Hisham A. Kholidy, Mnassar Alyami, Abdulmajeed Alghamdi, Cliff C. Zou:
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach. - Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. - Jia Li, Shiva Nejati, Mehrdad Sabetzadeh:
Using Genetic Programming to Build Self-Adaptivity into Software-Defined Networks. - Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee:
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization. - Maxim A. Olshanskii, Yerbol Palzhanov, Annalisa Quaini:
A scalar auxiliary variable unfitted FEM for the surface Cahn-Hilliard equation. - Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng:
Improving Offline RL by Blending Heuristics. - Shengran Hu, Jeff Clune:
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. - Peizhong Ju, Arnob Ghosh, Ness B. Shroff:
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning. - Huan He, Ziyuan Tang, Shifan Zhao, Yousef Saad, Yuanzhe Xi:
NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals. - Shivani Bathla, Vinita Vasudevan:
Approximate inference of marginals using the IBIA framework. - Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi:
Last Switch Dependent Bandits with Monotone Payoff Functions. - Dan Zhao:
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks. - Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho:
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks. - Akbar Karimi, Lucie Flek:
CAISA at SemEval-2023 Task 8: Counterfactual Data Augmentation for Mitigating Class Imbalance in Causal Claim Identification. - Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Z. Morley Mao, Chaowei Xiao:
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception. - Runyu Lu, Yuanheng Zhu, Dongbin Zhao:
Score-Based Equilibrium Learning in Multi-Player Finite Games with Imperfect Information. - Giuseppe Bruno De Luca, Alice Gatti, Eva Silverstein:
Improving Energy Conserving Descent for Machine Learning: Theory and Practice. - Hyojun Go, Jin Young Kim, Yunsung Lee, Seunghyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi:
Addressing Negative Transfer in Diffusion Models. - Jinsheng Ba, Manuel Rigger:
Finding Performance Issues in Database Engines via Cardinality Estimation Testing. - Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee:
Regularizing Towards Soft Equivariance Under Mixed Symmetries. - Jackson Kaunismaa, Michael Guerzhoy:
How Do ConvNets Understand Image Intensity? - Tal Ben-Nun, Berke Ates, Alexandru Calotoiu, Torsten Hoefler:
Bridging Control-Centric and Data-Centric Optimization. - Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada, Manabu Okumura:
Focused Prefix Tuning for Controllable Text Generation. - Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves:
Graph Switching Dynamical Systems. - Vipin Chandra Pandey, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Tanuj Rawat, Charalambos Konstantinou:
A Bi-level Decision Framework for Incentive-Based Demand Response in Distribution Systems. - Rahul Madhavan, Rishabh Garg, Kahini Wadhawan, Sameep Mehta:
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation. - Muhammad Shoaib Farooq, Muhammad Talha Waseem:
Developing and Building Ontologies in Cyber Security. - Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen:
Example-based Motion Synthesis via Generative Motion Matching. - Anant Khandelwal, Happy Mittal, Shreyas Sunil Kulkarni, Deepak Gupta:
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes. - Caesar Wu, Yuan-Fang Li, Pascal Bouvry:
Survey of Trustworthy AI: A Meta Decision of AI. - Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis:
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. - Martin Hermann Paul Fuchs, Begüm Demir:
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods. - Wuxuan Shi, Mang Ye, Bo Du:
Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution. - Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song:
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. - Albert Tseng, Tao Yu, Toni J. B. Liu, Christopher De Sa:
Coneheads: Hierarchy Aware Attention. - Shengqin Jiang, Yaoyu Fang, Haokui Zhang, Peng Wang, Yuankai Qi, Qingshan Liu:
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning. - Muhammad Shoaib Farooq, Sawera Kanwal:
Traffic Road Congestion System using by the internet of vehicles (IoV). - Qihang Fan, Huaibo Huang, Xiaoqiang Zhou, Ran He:
Lightweight Vision Transformer with Bidirectional Interaction. - Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. - Josep Maria Crego, Jitao Xu, François Yvon:
BiSync: A Bilingual Editor for Synchronized Monolingual Texts. - Zewei Xu, Yuhang Lu, Touradj Ebrahimi:
Discriminative Deep Feature Visualization for Explainable Face Recognition. - Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. - Farshad Rostami Ghadi, Francisco Javier López-Martínez, Kai-Kit Wong:
Analytical Characterization of Coverage Regions for STAR-RIS-aided NOMA/OMA Communication Systems. - Yichuan Deng, Zhao Song, Junze Yin:
Faster Robust Tensor Power Method for Arbitrary Order. - Chang Liu, Shunxin Xu, Jialun Peng, Kaidong Zhang, Dong Liu:
Towards Interactive Image Inpainting via Sketch Refinement. - Yi Yu, Shengyue Yao, Kexin Wang, Yan Chen, Fei-Yue Wang, Yilun Lin:
Pursuing Equilibrium of Medical Resources via Data Empowerment in Parallel Healthcare System. - Shubin Huang, Qiong Wu, Yiyi Zhou, Weijie Chen, Rongsheng Zhang, Xiaoshuai Sun, Rongrong Ji:
Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting. - Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper:
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili. - Xuehui Wang, Feng Shu, Yuanyuan Wu, Shihao Yan, Yifan Zhao, Qiankun Cheng, Jiangzhou Wang:
Beamforming Design for IRS-and-UAV-aided Two-way Amplify-and-Forward Relay Networks. - Christopher A. Orrico, Matthijs van Berkel, Thomas O. S. J. Bosman, W. P. M. H. Heemels, Dinesh Krishnamoorthy:
Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks. - Yi Shi, Jingbo Wang, Xuekun Jiang, Bo Dai:
Controllable Motion Diffusion Model. - Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. - Chuan Chen, Zhenpeng Wu, Yanyi Lai, Wenlin Ou, Tianchi Liao, Zibin Zheng:
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond. - Miika Hannula, Minna Hirvonen, Juha Kontinen, Yasir Mahmood, Arne Meier, Jonni Virtema:
Logics with probabilistic team semantics and the Boolean negation. - Dean Muir, Kenneth Duru, Matthew Hole, Stuart R. Hudson:
Provably stable numerical method for the anisotropic diffusion equation in toroidally confined magnetic fields. - Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. - Liangxuan Guo, Yang Chen, Shan Yu:
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shift. - Pierre Civit, Seth Gilbert, Rachid Guerraoui, Jovan Komatovic, Matteo Monti, Manuel Vidigueira:
Every Bit Counts in Consensus. - Mélanie Cambus, Fabian Kuhn, Shreyas Pai, Jara Uitto:
Time and Space Optimal Massively Parallel Algorithm for the 2-Ruling Set Problem. - Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. - Chen Zhang, Jiuheng Lin, Xiao Liu, Yuxuan Lai, Yansong Feng, Dongyan Zhao:
How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension. - Gosse Minnema, Huiyuan Lai, Benedetta Muscato, Malvina Nissim:
Responsibility Perspective Transfer for Italian Femicide News. - Linhui Dai, Hong Liu, Pinhao Song, Hao Tang, Runwei Ding, Shengquan Li:
Edge-guided Representation Learning for Underwater Object Detection. - Weiyang Zhang, Chentao Yue, Yonghui Li, Branka Vucetic:
Efficient Near Maximum-Likelihood Reliability-Based Decoding for Short LDPC Codes. - A. A. Gurin, Timur M. Sadykov, T. A. Zhukov:
A big data approach towards sarcasm detection in Russian. - Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana:
Exploring Open-Vocabulary Semantic Segmentation without Human Labels. - David Vivancos:
MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals. - Michele Bucelli, Francesco Regazzoni, Luca Dedè, Alfio Quarteroni:
Preserving the positivity of the deformation gradient determinant in intergrid interpolation by combining RBFs and SVD: application to cardiac electromechanics. - Katharina Hämmerl, Alina Fastowski, Jindrich Libovický, Alexander Fraser:
Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity. - Giuseppe Spallitta, Roberto Sebastiani, Armin Biere:
Enumerating Disjoint Partial Models without Blocking Clauses. - Muhammad Shoaib Farooq, Usman Ali:
Harnessing the Potential of Blockchain in DevOps: A Framework for Distributed Integration and Development. - Sangho Suh:
Cheat Sheet for Teaching Programming with Comics: Through the Lens of Concept-Language-Procedure Framework. - Baohao Liao, Shaomu Tan, Christof Monz:
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. - Gilles Dowek:
From proof theory to theories theory. - Ana Nikolikj, Saso Dzeroski, Mario Andrés Muñoz, Carola Doerr, Peter Korosec, Tome Eftimov:
Algorithm Instance Footprint: Separating Easily Solvable and Challenging Problem Instances. - Jonathan Feldstein, Modestas Jurcius, Efthymia Tsamoura:
Parallel Neurosymbolic Integration with Concordia. - Eda Okur, Roddy Fuentes-Alba, Saurav Sahay, Lama Nachman:
Inspecting Spoken Language Understanding from Kids for Basic Math Learning at Home. - Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu:
Overcoming Language Bias in Remote Sensing Visual Question Answering via Adversarial Training. - Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. - Juan F. Montesinos, Daniel Michelsanti, Gloria Haro, Zheng-Hua Tan, Jesper Jensen:
Speech inpainting: Context-based speech synthesis guided by video. - Shintaro Ueki, Fujio Toriumi, Toshiharu Sugawara:
Effect of Monetary Reward on Users' Individual Strategies Using Co-Evolutionary Learning. - Gilles Dowek:
Axioms vs. rewrite rules: from completeness to cut elimination. - Hidde Fokkema, Damien Garreau, Tim van Erven:
The Risks of Recourse in Binary Classification. - Gilles Dowek:
Automated theorem proving in first-order logic modulo: on the difference between type theory and set theory. - Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Feng-Ting Liao, Sattar Vakili, Da-shan Shiu, Alberto Bernacchia:
Image generation with shortest path diffusion. - Yuxin He, Jingyue Hu, Buzhou Tang:
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences? - Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu:
MEWL: Few-shot multimodal word learning with referential uncertainty. - Willem Diepeveen, Joyce A. Chew, Deanna Needell:
Curvature corrected tangent space-based approximation of manifold-valued data. - Xiaoliang Ju, Zhaoyang Huang, Yijin Li, Guofeng Zhang, Yu Qiao, Hongsheng Li:
DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation with Occupancy Prior. - Yixuan Li, Federico Mora, Elizabeth Polgreen, Sanjit A. Seshia:
Genetic Algorithms for Searching a Matrix of Metagrammars for Synthesis. - David Rügamer:
A New PHO-rmula for Improved Performance of Semi-Structured Networks. - Wenjin Wang, Yunhao Li, Yixin Ou, Yin Zhang:
Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering. - Ofek Ophir, Orit Shefi, Ofir Lindenbaum:
Neuronal Cell Type Classification using Deep Learning. - Ayse Aslan:
Some Experiences with Hybrid Genetic Algorithms in Solving the Uncapacitated Examination Timetabling Problem. - Phat Do, Matt Coler, Jelske Dijkstra, Esther Klabbers:
The Effects of Input Type and Pronunciation Dictionary Usage in Transfer Learning for Low-Resource Text-to-Speech. - Phil Ostheimer, Mayank Nagda, Marius Kloft, Sophie Fellenz:
A Call for Standardization and Validation of Text Style Transfer Evaluation. - Yingzhi Zhang, Taiguo Li, Chao Li, Xinghong Zhou:
A Novel Driver Distraction Behavior Detection Based on Self-Supervised Learning Framework with Masked Image Modeling. - Yao Xiao, Zhijie Fan, Zenan Ling, Rujing Xiong, Tiebin Mi, Robert Caiming Qiu:
Codebook Configuration for 1-bit RIS-aided Systems Based on Implicit Neural Representations. - Mohit Mendiratta, Xingang Pan, Mohamed Elgharib, Kartik Teotia, Mallikarjun B. R., Ayush Tewari, Vladislav Golyanik, Adam Kortylewski, Christian Theobalt:
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars. - Stephan-Daniel Gravert, Elia Varini, Amirhossein Kazemipour, Mike Yan Michelis, Thomas Buchner, Ronan Hinchet, Robert K. Katzschmann:
Low Voltage Electrohydraulic Actuators for Untethered Robotics. - Yuxin Tang:
Chain-Of-Thought Prompting Under Streaming Batch: A Case Study. - Arun Balajiee Lekshmi Narayanan, Rully Agus Hendrawan, Venktesh V:
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. - Siyu Ren, Junhui Hou:
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric. - Yihan Liu, Ke Li, Zihao Huang, Bowen Li, Guiyan Wang, Wei Cai:
EduChain: A Blockchain-based Education Data Management System. - Alister Machado, Alexandru C. Telea, Michael Behrisch:
ShaRP: Shape-Regularized Multidimensional Projections. - Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu:
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. - Ziliang Xiong, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén:
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification. - Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, Zheng-Hua Tan:
Masked Autoencoders with Multi-Window Attention Are Better Audio Learners. - Sebastian Maneth, Helmut Seidl:
Checking in Polynomial Time whether or not a Regular Tree Language is Deterministic Top-Down. - Emil Balitzki, Tobias Pfandzelter, David Bermbach:
Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments. - Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara M. Beery, Anna Rohrbach, Mohamed Elhoseiny:
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding. - Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens:
TorchRL: A data-driven decision-making library for PyTorch. - Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla:
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? - Tongyan Hua, Haotian Bai, Zidong Cao, Lin Wang:
FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM. - Amit Rozner, Barak Battash, Henry Li, Lior Wolf, Ofir Lindenbaum:
Anomaly Detection with Variance Stabilized Density Estimation. - Marco B. Caminati, Juliana Küster Filipe Bowles:
Representation Theorems Obtained by Miningacross Web Sources for Hints. - Fateme Jamshidi, Sina Akbari, Negar Kiyavash:
Causal Imitability Under Context-Specific Independence Relations. - Bastian Rieck, Corinna Coupette:
Evaluating the "Learning on Graphs" Conference Experience. - Thomas Reinhold, Philipp Kuehn, Daniel Günther, Thomas Schneider, Christian Reuter:
ExTRUST: Reducing Exploit Stockpiles with a Privacy-Preserving Depletion System for Inter-State Relationships. - Yingying Fan, Yu Wu, Yutian Lin, Bo Du:
Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective. - Ahmed R. Sadik, Antonello Ceravola, Frank Joublin, Jibesh Patra:
Analysis of ChatGPT on Source Code. - Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling:
Rotating Features for Object Discovery. - Ryan M. Aronson, Corey Wetterer-Nelson, John A. Evans:
Stabilized Isogeometric Collocation Methods For Scalar Transport and Incompressible Fluid Flow. - Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang:
Safe Offline Reinforcement Learning with Real-Time Budget Constraints. - Marcel Hallgarten, Ismail Kisa, Martin Stoll, Andreas Zell:
Stay on Track: A Frenet Wrapper to Overcome Off-road Trajectories in Vehicle Motion Prediction. - Paolo Sylos Labini, Andrej Jurco, Matteo Ceccarello, Stefano Guarino, Enrico Mastrostefano, Flavio Vella:
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models. - Stefan Schrod, Jonas Lippl, Andreas Schäfer, Michael Altenbuchinger:
FACT: Federated Adversarial Cross Training. - Samuel Herodotou, Feng Hao:
Spying on the Spy: Security Analysis of Hidden Cameras. - Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao:
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset. - Markus Anders, Pascal Schweitzer, Mate Soos:
Algorithms Transcending the SAT-Symmetry Interface. - Emin Cagatay Nakilcioglu, Maximilian Reimann, Ole John:
Adaptation and Optimization of Automatic Speech Recognition (ASR) for the Maritime Domain in the Field of VHF Communication. - Or Meir:
Toward Better Depth Lower Bounds: A KRW-like theorem for Strong Composition. - Ruiqi Ni, Ahmed H. Qureshi:
Progressive Learning for Physics-informed Neural Motion Planning. - Eric Wieser:
Multiple inheritance hazards in algebraic typeclass hierarchies. - Weisen Jiang, Yu Zhang, James T. Kwok:
Effective Structured Prompting by Meta-Learning and Representative Verbalizer. - Shaoxuan Cui, Fangzhou Liu, Hildeberto Jardón-Kojakhmetov, Ming Cao:
General SIS diffusion process with indirect spreading pathways on a hypergraph. - Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
OTW: Optimal Transport Warping for Time Series. - Ryan Liu, Nihar B. Shah:
ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing. - Lukas Iffländer, Thomas Buder, Teresa Loreth, Marina Alonso Villota, Walter Schmitz, Karl Adolf Neubecker, Stefan Pickl:
Physical Attacks on the Railway System. - Raanan Y. Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik:
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders. - Ivano Bison, Haonan Zhao:
Factors Impacting the Quality of User Answers on Smartphones. - Andreas Schlaginhaufen, Maryam Kamgarpour:
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning. - Alexandru Ghita, Radu Tudor Ionescu:
Class Anchor Margin Loss for Content-Based Image Retrieval. - Monica Montardini, Giancarlo Sangalli, Mattia Tani:
A low-rank isogeometric solver based on Tucker tensors. - Drew Hemment, Dave Murray-Rust, Vaishak Belle, Ruth Aylett, Matjaz Vidmar, Frank Broz:
Experiential AI: A transdisciplinary framework for legibility and agency in AI. - Pablo Pernias, Dominic Rampas, Marc Aubreville:
Wuerstchen: Efficient Pretraining of Text-to-Image Models. - Terne Sasha Thorn Jakobsen, Laura Cabello, Anders Søgaard:
Being Right for Whose Right Reasons? - Sebastian Hafner, Yifang Ban:
Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly Missing Optical Modality. - Sascha Rechenberger, Thom W. Frühwirth:
FreeCHR: An Algebraic Framework for CHR-Embeddings. - Leonardo Alexandre, Rafael S. Costa, Rui Henriques:
TriSig: Assessing the statistical significance of triclusters. - Jiaxi Li, Wei Lu:
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers. - Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis. - Robert A. Marsden, Mario Döbler, Bin Yang:
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior Correction. - Wei Sun, Asterios Tsiourvas:
Learning Prescriptive ReLU Networks. - Han Cui, Shangzhan Li, Yu Zhang, Qi Shi:
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs. - Lu Li, Jiafei Lyu, Guozheng Ma, Zilin Wang, Zhenjie Yang, Xiu Li, Zhiheng Li:
Normalization Enhances Generalization in Visual Reinforcement Learning. - Qijian Zhang, Junhui Hou, Yohanes Yudhi Adikusuma, Wenping Wang, Ying He:
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries. - Emre Ozfatura, Chenghong Bian, Deniz Gündüz:
Do not Interfere but Cooperate: A Fully Learnable Code Design for Multi-Access Channels with Feedback. - Juuso Eronen, Michal Ptaszynski, Karol Nowakowski, Chia Zheng Lin, Fumito Masui:
Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity. - François Remy, Thomas Demeester:
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. - Zhexiong Liu, Diane J. Litman, Elaine Wang, Lindsay Clare Matsumura, Richard Correnti:
Predicting the Quality of Revisions in Argumentative Writing. - Vikrant Ashvinkumar, Sepehr Assadi, Chengyuan Deng, Jie Gao, Chen Wang:
Evaluating Stability in Massive Social Networks: Efficient Streaming Algorithms for Structural Balance. - Mohamed Elaraby, Yang Zhong, Diane J. Litman:
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. - Shiwei Zeng, Jie Shen:
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise. - Jianhua Wang, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Lin Li, Yingying Yao:
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning. - Xingfu Yi, Rongpeng Li, Chenghui Peng, Fei Wang, Jianjun Wu, Zhifeng Zhao:
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning. - Dunbin Shen, Xiaorui Ma, Wenfeng Kong, Jiacheng Tian, Hongyu Wang:
Hyperspectral Target Detection Based on Low-Rank Background Subspace Learning and Graph Laplacian Regularization. - Jee-weon Jung, Soonshin Seo, Hee-Soo Heo, Geonmin Kim, You Jin Kim, Youngki Kwon, Minjae Lee, Bong-Jin Lee:
Encoder-decoder multimodal speaker change detection. - Daniel Otten, Alexander Brundiers, Timmy Schüller, Nils Aschenbruck:
Green Segment Routing for Improved Sustainability of Backbone Networks. - Louis Grenioux, Éric Moulines, Marylou Gabrié:
Balanced Training of Energy-Based Models with Adaptive Flow Sampling. - Mathias Lundteigen Mohus, Jinyue Li:
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review. - Shakeel A. Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
Stuttering Detection Using Speaker Representations and Self-supervised Contextual Embeddings. - Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang:
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? - Anna-Katharina Wickert, Clemens Damke, Lars Baumgärtner, Eyke Hüllermeier, Mira Mezini:
UNGOML: Automated Classification of unsafe Usages in Go. - Lukas Radl, Andreas Kurz, Markus Steinberger:
Analyzing the Internals of Neural Radiance Fields. - Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura, Kentaro Seki, Detai Xin, Hiroshi Saruwatari:
How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics. - Reza Shirkavand, Fei Zhang, Heng Huang:
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. - Christian H. X. Ali Mehmeti-Göpel, Michael Wand:
Spreads in Effective Learning Rates: The Perils of Batch Normalization During Early Training. - Hugo A. Akitaya, Josh Brunner, Erik D. Demaine, Dylan H. Hendrickson, Victor Luo, Andy Tockman:
Complexity of Simple Folding of Mixed Orthogonal Crease Patterns. - Tamer Saleh, Xingxing Weng, Shimaa Holail, Chen Hao, Gui-Song Xia:
DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers. - Angelo Alberto Casulli:
Tensorized block rational Krylov methods for tensor Sylvester equations. - Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri:
Renormalized Graph Neural Networks. - Ivan Rep, Vladimir Ceperic:
Boosting the Performance of Transformer Architectures for Semantic Textual Similarity. - Nathan Kammoun, Lakmal Meegahapola, Daniel Gatica-Perez:
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity. - Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han:
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. - Sharan Mourya, Pavan Reddy Manne, SaiDhiraj Amuru, Kiran Kumar Kuchi:
Graph Neural Networks-Based User Pairing in Wireless Communication Systems. - Andrew Holliday, Gregory Dudek:
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design. - Anastasiia Iashchenko, Pavel Andreev, Ivan Shchekotov, Nicholas Babaev, Dmitry P. Vetrov:
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model. - Wageesha Bangamuarachchi, Anju Chamantha, Lakmal Meegahapola, Haeeun Kim, Salvador Ruiz-Correa, Indika Perera, Daniel Gatica-Perez:
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization. - Daniel Otten, Max Ilsen, Markus Chimani, Nils Aschenbruck:
Green Traffic Engineering by Line Card Minimization. - David P. Woodruff, Taisuke Yasuda:
Sharper Bounds for 𝓁p Sensitivity Sampling. - Aaron J. Gutknecht, Abdullah Makkeh, Michael Wibral:
From Babel to Boole: The Logical Organization of Information Decompositions. - Dana Arad, Hadas Orgad, Yonatan Belinkov:
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder. - Ruoxi Sun, Sercan Ö. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, Tomas Pfister:
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. - Muthu Chidambaram, Rong Ge:
A Uniform Confidence Phenomenon in Deep Learning and its Implications for Calibration. - Vivien Cabannes:
Going Deeper with Spectral Embeddings. - Keti Korini, Christian Bizer:
Column Type Annotation using ChatGPT. - Ciaran Cooney, Joana Cavadas, Liam Madigan, Bradley Savage, Rachel Heyburn, Mairead O'Cuinn:
End-to-End Document Classification and Key Information Extraction using Assignment Optimization. - Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. - Álvaro González-Jiménez, Simone Lionetti, Philippe Gottfrois, Fabian Gröger, Marc Pouly, Alexander A. Navarini:
Robust T-Loss for Medical Image Segmentation. - Yuting Yang, Yuke Li, Binbin Du:
Enhancing the Unified Streaming and Non-streaming Model with Contrastive Learning. - Qing Huang, Zhou Zou, Zhenchang Xing, Zhenkang Zuo, Xiwei Xu, Qinghua Lu:
AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code. - Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir:
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing. - Bao Nguyen, Viet Anh Nguyen:
Efficient Failure Pattern Identification of Predictive Algorithms. - Thuy T. Le, Vo Anh Khoa, Michael Victor Klibanov, Loc Hoang Nguyen, Grant W. Bidney, Vasily N. Astratov:
Numerical verification of the convexification method for a frequency-dependent inverse scattering problem with experimental data. - Kihyuk Sohn, Albert E. Shaw, Yuan Hao, Han Zhang, Luisa Polania, Huiwen Chang, Lu Jiang, Irfan Essa:
Learning Disentangled Prompts for Compositional Image Synthesis. - Erik Arakelyan, Arnav Arora, Isabelle Augenstein:
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. - Marlon P. da Silva, Henry C. Nunes, Charles V. Neu, Luana T. Thomas, Avelino F. Zorzo, Charles Morisset:
Impact of using a privacy model on smart buildings data for CO2 prediction. - Ron Dabora, Emeka Abakasanga:
On the Capacity of Communication Channels with Memory and Sampled Additive Cyclostationary Gaussian Noise: Full Version with Detailed Proofs. - Silvia Terragni, Modestas Filipavicius, Nghia Khau, Bruna Guedes, André Ferreira Manso, Roland Mathis:
In-Context Learning User Simulators for Task-Oriented Dialog Systems. - Ilya A. Petrov, Riccardo Marin, Julian Chibane, Gerard Pons-Moll:
Object pop-up: Can we infer 3D objects and their poses from human interactions alone? - Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam:
An End-to-End Time Series Model for Simultaneous Imputation and Forecast. - Hao Zhang, Yanbo Xu, Tianyuan Dai, Yu-Wing Tai, Chi-Keung Tang:
FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models. - Mengxue Zhang, Zichao Wang, Zhichao Yang, Weiqi Feng, Andrew S. Lan:
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning. - Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. - Sameer Khurana, Nauman Dawalatabad, Antoine Laurent, Luis Vicente, Pablo Gimeno, Victoria Mingote, James R. Glass:
Improved Cross-Lingual Transfer Learning For Automatic Speech Translation. - Hasra Dodampegama, Mohan Sridharan:
Knowledge-based Reasoning and Learning under Partial Observability in Ad Hoc Teamwork. - Mengxue Zhang, Neil T. Heffernan, Andrew S. Lan:
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions. - Baris Büyüktas, Gencer Sumbul, Begüm Demir:
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning. - Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang:
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. - Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. - Tianyi Xu, Zhanheng Yang, Kaixun Huang, Pengcheng Guo, Ao Zhang, Biao Li, Changru Chen, Chao Li, Lei Xie:
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition. - Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian:
Auto-Spikformer: Spikformer Architecture Search. - Emanuele Francazi, Aurélien Lucchi, Marco Baity-Jesi:
Initial Guessing Bias: How Untrained Networks Favor Some Classes. - Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang:
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. - Hubert Siuzdak:
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis. - Ruotong Wang, Hongrui Chen, Zihao Zhu, Li Liu, Yong Zhang, Yanbo Fan, Baoyuan Wu:
Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. - Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothée Masquelier:
Dilated Convolution with Learnable Spacings: beyond bilinear interpolation. - Laila El Hamamsy, Barbara Bruno, Catherine Audrin, Morgane Chevalier, Sunny Avry, Jessica Dehler-Zufferey, Francesco Mondada:
How are Primary School Computer Science Curricular Reforms Contributing to Equity? Impact on Student Learning, Perception of the Discipline, and Gender Gaps. - Sebastian Bullinger, Florian Fervers, Christoph Bodensteiner, Michael Arens:
Geo-Tiles for Semantic Segmentation of Earth Observation Imagery. - Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme:
Zero and Few-shot Semantic Parsing with Ambiguous Inputs. - Julian Bitterwolf, Maximilian Müller, Matthias Hein:
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation. - Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labbé, Timothée Masquelier:
Adapting a ConvNeXt model to audio classification on AudioSet. - Lina S. Mohjazi, Bassant Selim, Mallik Tatipamula, Muhammad Ali Imran:
The Journey Towards 6G: A Digital and Societal Revolution in the Making. - Maximilien Dreveton, Daichi Kuroda, Matthias Grossglauser, Patrick Thiran:
When Does Bottom-up Beat Top-down in Hierarchical Community Detection? - Dan Yang, Mehmet Yamac:
Deformable Convolutions and LSTM-based Flexible Event Frame Fusion Network for Motion Deblurring. - Angelina Agabin, J. Xavier Prochaska:
Reconstructing Sea Surface Temperature Images: A Masked Autoencoder Approach for Cloud Masking and Reconstruction. - Jinke He, Thomas M. Moerland, Frans A. Oliehoek:
What model does MuZero learn? - Mahdi Taheri, Saeideh Sheikhpour, Ali Mahani, Maksim Jenihhin:
A Novel Fault-Tolerant Logic Style with Self-Checking Capability. - Yuri Kim, Yewon Choi, Yujung Gil, Sanghee Lee, Heesik Shin, Jaehyok Chong:
BitE : Accelerating Learned Query Optimization in a Mixed-Workload Environment. - Raul Tapia, Alvaro Cesar Satue, Saeed Rafee Nekoo, José Ramiro Martinez de Dios, Aníbal Ollero:
Experimental Energy Consumption Analysis of a Flapping-Wing Robot. - Jacob J. Johnson, Ahmed Hussain Qureshi, Michael C. Yip:
Learning Sampling Dictionaries for Efficient and Generalizable Robot Motion Planning with Transformers. - Shreya Shetye, Anwita Maiti, Tannistha Maiti, Tarry Singh:
A deep-learning approach to early identification of suggested sexual harassment from videos. - Simon Keizer, Caroline Dockes, Norbert Braunschweiler, Svetlana Stoyanchev, Rama Doddipatla:
Adversarial learning of neural user simulators for dialogue policy optimisation. - Anders Riddersholm Bargum, Stefania Serafin, Cumhur Erkut, Julian D. Parker:
Differentiable Allpass Filters for Phase Response Estimation and Automatic Signal Alignment. - Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang:
Non-stationary Reinforcement Learning under General Function Approximation. - Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu:
DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. - Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li:
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. - Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, Ürün Dogan, Zheqing Zhu, Olivier Delalleau:
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control. - Bingyou Chen, Yu Luo, Jieni Li, Yujian Li, Ying Liu, Fan Yang, Junge Bo, Yanan Qiao:
Blockchain-based Decentralized Co-governance: Innovations and Solutions for Sustainable Crowdfunding. - Clara Fannjiang, Jennifer Listgarten:
Is novelty predictable? - Hamed Karimi, Reza Samavi:
Quantifying Deep Learning Model Uncertainty in Conformal Prediction. - Kimathi Kaai, Saad Hossain, Sirisha Rambhatla:
Domain Generalization for Domain-Linked Classes. - Manuel Kauers, Jakob Moosbauer:
Some New Non-Commutative Matrix Multiplication Algorithms of Size (n, m, 6). - Stefan Mengel:
Bounds on BDD-Based Bucket Elimination. - Xueqing Wu, Sha Li, Heng Ji:
OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking. - Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. - Isabella Struckman, Sofie Kupiec:
Why They're Worried: Examining Experts' Motivations for Signing the 'Pause Letter'. - Onur Beker:
A Probabilistic Relaxation of the Two-Stage Object Pose Estimation Paradigm. - Xin-Wei Cai, Xiangyu Ke, Kai Wang, Lu Chen, Tianming Zhang, Qing Liu, Yunjun Gao:
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs. - Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra:
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. - Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. - Pamuditha Somarathne, Tharindu Wickremasinghe, Amashi Niwarthana, Arulmolivarman Thieshanthan, Chamira U. S. Edussooriya, Dushan N. Wadduwage:
MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction. - Nico Giambi, Giuseppe Lisanti:
Conditioning Diffusion Models via Attributes and Semantic Masks for Face Generation. - Alessandro Conti, Enrico Fini, Massimiliano Mancini, Paolo Rota, Yiming Wang, Elisa Ricci:
Vocabulary-free Image Classification. - Aurel Ruben Mäder, Lakmal Meegahapola, Daniel Gatica-Perez:
Understanding Social Context from Smartphone Sensing: Generalization Across Countries and Daily Life Moments. - Travis Dick, Jennifer Gillenwater, Matthew Joseph:
Better Private Linear Regression Through Better Private Feature Selection. - Ruohan Gao, Hao Li, Gokul Dharan, Zhuzhu Wang, Chengshu Li, Fei Xia, Silvio Savarese, Li Fei-Fei, Jiajun Wu:
Sonicverse: A Multisensory Simulation Platform for Embodied Household Agents that See and Hear. - Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov:
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. - Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng:
Inserting Anybody in Diffusion Models via Celeb Basis. - Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. - Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya, Sumit Shekhar:
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning. - Mohamed Y. Eltabakh, Mayuresh Kunjir, Ahmed K. Elmagarmid, Mohammad Shahmeer Ahmad:
Cross Modal Data Discovery over Structured and Unstructured Data Lakes. - Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang, Muhyun Kim, Feng Chen, Murat Kantarcioglu, Kangkook Jee:
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features. - Juri Opitz, Shira Wein, Julius Steen, Anette Frank, Nathan Schneider:
AMR4NLI: Interpretable and robust NLI measures from semantic graphs. - Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila A. McIlraith:
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft. - Marius Buliga:
chemSKI with tokens: world building and economy in the SKI universe. - Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta:
Train Offline, Test Online: A Real Robot Learning Benchmark. - Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, Ying Shan, Tien-Tsin Wong:
Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter:
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions. - Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang:
Exposing Attention Glitches with Flip-Flop Language Modeling. - Prasann Singhal, Jiacheng Xu, Xi Ye, Greg Durrett:
EEL: Efficiently Encoding Lattices for Reranking. - Eran Levin, Ohad Fried:
Differential Diffusion: Giving Each Pixel Its Strength. - Ruohan Gao, Yiming Dou, Hao Li, Tanmay Agarwal, Jeannette Bohg, Yunzhu Li, Li Fei-Fei, Jiajun Wu:
The ObjectFolder Benchmark: Multisensory Learning with Neural and Real Objects. - Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman:
LIV: Language-Image Representations and Rewards for Robotic Control. - Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, MohammadTaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh:
Dynamic Algorithms for Matroid Submodular Maximization. - Minghui Hu, Jianbin Zheng, Daqing Liu, Chuanxia Zheng, Chaoyue Wang, Dacheng Tao, Tat-Jen Cham:
Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation. - Tao Chu, Pan Zhang, Qiong Liu, Jiaqi Wang:
BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image. - Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf:
The Hidden Language of Diffusion Models. - Chang Liu, Henghui Ding, Xudong Jiang:
GRES: Generalized Referring Expression Segmentation. - Shaozhe Hao, Kai Han, Shihao Zhao, Kwan-Yee K. Wong:
ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation. - Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan:
Improving and Benchmarking Offline Reinforcement Learning Algorithms. - Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Weidi Xie:
Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models. - Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan L. Yuille:
Intriguing Properties of Text-guided Diffusion Models. - Jinghuan Shang, Michael S. Ryoo:
Active Reinforcement Learning under Limited Visual Observability. - Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar:
TopEx: Topic-based Explanations for Model Comparison. - Yuanwen Yue, Sabarinath Mahadevan, Jonas Schult, Francis Engelmann, Bastian Leibe, Konrad Schindler, Theodora Kontogianni:
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation. - Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han:
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. - Shaowei Liu, Saurabh Gupta, Shenlong Wang:
Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds. - Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren:
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds. - Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan:
StyleDrop: Text-to-Image Generation in Any Style. - Yonglong Tian, Lijie Fan, Phillip Isola, Huiwen Chang, Dilip Krishnan:
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners. - Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski:
Diffusion Self-Guidance for Controllable Image Generation. - Anand Bhattad, Daniel McKee, Derek Hoiem, David A. Forsyth:
StyleGAN knows Normal, Depth, Albedo, and More. - Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. - Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang:
DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. - Ru Zhou, Wenya Guo, Xumeng Liu, Shenglong Yu, Ying Zhang, Xiaojie Yuan:
AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis. - Yogesh Verma, Markus Heinonen, Vikas Garg:
AbODE: Ab Initio Antibody Design using Conjoined ODEs. - Gautam Yadav:
Scaling Evidence-based Instructional Design Expertise through Large Language Models. - Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen:
Towards Fair Disentangled Online Learning for Changing Environments. - Anahita Farhang Ghahfarokhi, Taha Mansouri, Mohammad Reza Sadeghi Moghadam, Nila Bahrambeik, Ramin Yavari, Mohammadreza Fani Sani:
Credit Card Fraud Detection Using Asexual Reproduction Optimization. - Peter Belcák, Luca A. Lanzendörfer, Roger Wattenhofer:
Examining the Emergence of Deductive Reasoning in Generative Language Models. - Wenqian Chen, Yucheng Fu, Panos Stinis:
Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model. - Kaushal Kumar:
Data-driven modeling and parameter estimation of Nonlinear systems. - Lili Wang, Chenghan Huang, Weicheng Ma, Xinyuan Cao, Soroush Vosoughi:
Graph-Level Embedding for Time-Evolving Graphs. - Zih-Ching Chen, Chao-Han Huck Yang, Bo Li, Yu Zhang, Nanxin Chen, Shuo-Yiin Chang, Rohit Prabhavalkar, Hung-yi Lee, Tara N. Sainath:
How to Estimate Model Transferability of Pre-Trained Speech Models? - Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. - Juliette Gamot, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, El-Ghazali Talbi:
A Virtual-Force Based Swarm Algorithm for Balanced Circular Bin Packing Problems. - Rômulo Meira-Góes, Ian Dardik, Eunsuk Kang, Stéphane Lafortune, Stavros Tripakis:
Safe Environmental Envelopes of Discrete Systems. - Samuel Prescott, Adrian Wheeldon, Rishad A. Shafik, Tousif Rahman, Alex Yakovlev, Ole-Christoffer Granmo:
An FPGA Architecture for Online Learning using the Tsetlin Machine. - Enno Adler, Stefan Böttcher, Rita Hartel:
ITR: A grammar-based graph compressor supporting fast neighborhood queries. - Mohannad Z. Naser, Mohammad Khaled al-Bashiti, Ahmad Z. Naser:
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning. - Dongji Gao, Matthew Wiesner, Hainan Xu, Leibny Paola García, Daniel Povey, Sanjeev Khudanpur:
Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts. - Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras:
Chaos persists in large-scale multi-agent learning despite adaptive learning rates. - Luiz Fernando Capretz, Abdul Rehman Gilal:
What Pakistani Computer Science and Software Engineering Students Think about Software Testing? - Julio Arroyo:
Pseudo Labels for Single Positive Multi-Label Learning. - Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo:
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. - Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Y. Halevy, Scott Yih:
Reimagining Retrieval Augmented Language Models for Answering Queries. - Zheng Li, Francisco Millar-Bilbao:
Characterizing the Cloud's Outbound Network Latency: An Experimental and Modeling Study. - Andrew Liu, Alla Borisyuk:
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement Learning. - Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li, Lambert Mathias, Marzieh Saeidi, Jing Nathan Yan, Alon Y. Halevy:
TimelineQA: A Benchmark for Question Answering over Timelines. - Asier Mujika:
Hierarchical Attention Encoder Decoder. - Niloy Saha, Nashid Shahriar, Raouf Boutaba, Aladdin Saleh:
MonArch: Network Slice Monitoring Architecture for Cloud Native 5G Deployments. - Haitao Wang, Yiming Zhao:
Improved Algorithms for Distance Selection and Related Problems. - Zheng Li, Diego Seco, José Fuentes-Sepúlveda:
When Edge Computing Meets Compact Data Structures. - Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, Congcong Li:
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. - Zi Yang, Samridhi Choudhary, Siegfried Kunzmann, Zheng Zhang:
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding. - Lorenzo Berlincioni, Stefano Berretti, Marco Bertini, Alberto Del Bimbo:
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks. - Jiatong Shi, Yun Tang, Hirofumi Inaguma, Hongyu Gong, Juan Pino, Shinji Watanabe:
Exploration on HuBERT with Multiple Resolutions. - Yicong Jiang, Tracy Ke:
Semi-supervised Community Detection via Structural Similarity Metrics. - Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang:
Improving the Robustness of Summarization Systems with Dual Augmentation. - Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu:
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis. - Navid Ansari, Hans-Peter Seidel, Vahid Babaei:
Large-Batch, Neural Multi-Objective Bayesian Optimization. - Jie Guan, Alexis Morris:
Extended-XRI Body Interfaces for Hyper-Connected Metaverse Environments. - Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil:
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. - Micah Beck Terry Moore:
How We Ruined The Internet. - Muhammad Umair Nasir, Sam Earle, Julian Togelius, Steven James, Christopher W. Cleghorn:
LLMatic: Neural Architecture Search via Large Language Models and Quality-Diversity Optimization. - Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji:
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. - Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty:
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. - Harish Haresamudram, Irfan Essa, Thomas Ploetz:
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition. - (Withdrawn) Comparative Study on the Effects of Noise in ML-Based Anxiety Detection.
- Cara Van Uden, Christian Bluethgen, Maayane Attias, Malgorzata Polacin, Haiwei Henry Guo, Neha Simha, Rishi Raj, Curtis P. Langlotz:
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification. - Oussama Boussif, Ghait Boukachab, Dan Assouline, Stefano Massaroli, Tianle Yuan, Loubna Benabbou, Yoshua Bengio:
What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? - Jie Guan, Alexis Morris, Jay Irizawa:
Cross-Reality for Extending the Metaverse: Designing Hyper-Connected Immersive Environments with XRI. - Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay:
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only. - Sullam Jeoung, Jana Diesner, Halil Kilicoglu:
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning. - Jingjing Zhang, Jan Heiland, Peter Benner, Xin Du:
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. - Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang:
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. - Bowen Fang, Hao Ni, Yue Wu:
A Neural RDE-based model for solving path-dependent PDEs. - Ashish Rayal, Bhagawati Prasad Joshi, Mukesh Pandey, Delfim F. M. Torres:
Numerical Investigation of the Fractional Oscillation Equations under the Context of Variable Order Caputo Fractional Derivative via Fractional Order Bernstein Wavelets. - Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations. - Dan Friedman, Alexander Wettig, Danqi Chen:
Learning Transformer Programs. - Yaodong Yu, Sam Buchanan, Druv Pai, Tianzhe Chu, Ziyang Wu, Shengbang Tong, Benjamin D. Haeffele, Yi Ma:
White-Box Transformers via Sparse Rate Reduction. - Jie Guan, Alexis Morris, Jay Irizawa:
Extending the Metaverse: Hyper-Connected Smart Environments with Mixed Reality and the Internet of Things. - Alexis Morris, Jie Guan, Amna Azhar:
An XRI Mixed-Reality Internet-of-Things Architectural Framework Toward Immersive and Adaptive Smart Environments. - Paola F. Antonietti, Michele Botti, Ilario Mazzieri:
A space-time discontinuous Galerkin method for coupled poroelasticity-elasticity problems. - Divij Gupta, Ali Etemad:
Privacy-Preserving Remote Heart Rate Estimation from Facial Videos. - Sivaram Krishnan, Jihong Park, Subhash Sagar, Gregory Sherman, Benjamin Campbell, Jinho Choi:
Federated Graph Learning for Low Probability of Detection in Wireless Ad-Hoc Networks. - Nathan Vaska, Victoria Helus:
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data. - Christian Igel:
Smooth Monotonic Networks. - Natalie Abreu, Nathan Vaska, Victoria Helus:
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks. - Yunfei Ge, Quanyan Zhu:
AI Liability Insurance With an Example in AI-Powered E-diagnosis System. - Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Jason Wu:
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. - Anirudh Ekambaranathan, Jun Zhao, Max Van Kleek:
How Should We Support Designing Privacy-Friendly Apps for Children? Using a Research through Design Process to Understand Developers' Needs and Challenges. - Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu:
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference. - Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu:
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks. - Alizée Pace, Hugo Yèche, Bernhard Schölkopf, Gunnar Rätsch, Guy Tennenholtz:
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding. - Lorenz Wolf, Mirco Musolesi:
Augmented Modular Reinforcement Learning based on Heterogeneous Knowledge. - Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret:
Faster Causal Attention Over Large Sequences Through Sparse Flash Attention. - Dingzhu Wen, Xiaoyang Li, Yong Zhou, Yuanming Shi, Sheng Wu, Chunxiao Jiang:
Integrated Sensing-Communication-Computation for Edge Artificial Intelligence. - Amar Khelloufi, Huansheng Ning, Abdenacer Naouri, Abdelkarim Ben Sada, Attia Qammar, Abdelkader Khelil, Sahraoui Dhelim, Lingfeng Mao:
A Multi-Modal Latent-Features based Service Recommendation System for the Social Internet of Things. - Ahrar Bin Aslam, Zafi Sherhan Syed, Muhammad Faiz Khan, Asghar Baloch, Muhammad Shehram Shah Syed:
Leveraging Natural Language Processing For Public Health Screening On YouTube: A COVID-19 Case Study. - Nathaniel Agharese, Allison M. Okamura:
Configuration and Fabrication of Preformed Vine Robots. - Guang Lu, Sylvia Bendel Larcher, Tu Tran:
Hybrid Long Document Summarization using C2F-FAR and ChatGPT: A Practical Study. - Wei Zhang, Sen Wang, Xingliang Dong, Rongwei Guo, Norbert Haala:
BAMF-SLAM: Bundle Adjusted Multi-Fisheye Visual-Inertial SLAM Using Recurrent Field Transforms. - Anudhyan Boral, Zhong Yi Wan, Leonardo Zepeda-Núñez, James Lottes, Qing Wang, Yi-Fan Chen, John Robert Anderson, Fei Sha:
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations. - Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao:
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging. - Ozgenur Kavas-Torris, Mustafa Ridvan Cantas, Karina Meneses-Cime, Bilin Aksun Güvenç, Levent Güvenç:
The Effects of Varying Penetration Rates of L4-L5 Autonomous Vehicles on Fuel Efficiency and Mobility of Traffic Networks. - Michael Crosscombe, Jonathan Lawry:
The Benefits of Interaction Constraints in Distributed Autonomous Systems. - John Abascal, Stanley Wu, Alina Oprea, Jonathan R. Ullman:
TMI! Finetuned Models Leak Private Information from their Pretraining Data. - Herbert Egger, Bogdan Radu:
A Yee-like finite-element scheme for Maxwell's equations on unstructured grids. - Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz:
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. - Xinchen Li, Aravind Chandradoss Arul Doss, Bilin Aksun Güvenç, Levent Güvenç:
Pre-Deployment Testing of Low Speed, Urban Road Autonomous Driving in a Simulated Environment. - Fangfei Lan, Salman Parsa, Bei Wang:
Labeled Interleaving Distance for Reeb Graphs. - Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett:
Training neural operators to preserve invariant measures of chaotic attractors. - Jianeng Wang, Jonathan D. Gammell:
Event-based Visual Odometry with Full Temporal Resolution via Continuous-time Gaussian Process Regression. - Shweta Dahale, Sai Munikoti, Balasubramaniam Natarajan:
A General Framework for Uncertainty Quantification via Neural SDE-RNN. - Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier:
Conformal Prediction with Partially Labeled Data. - Joshua Ani, Michael J. Coulombe, Erik D. Demaine, Yevhenii Diomidov, Timothy Gomez, Dylan H. Hendrickson, Jayson Lynch:
Complexity of Motion Planning of Arbitrarily Many Robots: Gadgets, Petri Nets, and Counter Machines. - Taveesh Sharma, Tarun Mangla, Arpit Gupta, Junchen Jiang, Nick Feamster:
Estimating WebRTC Video QoE Metrics Without Using Application Headers. - Shuvendu Roy, Ali Etemad:
Consistency-guided Prompt Learning for Vision-Language Models. - Shiang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner:
An Effective Meaningful Way to Evaluate Survival Models. - Naim Bro, Marcelo Mendoza:
Surname affinity in Santiago, Chile: A network-based approach that uncovers urban segregation. - Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou:
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. - Liam Dugan, Anshul Wadhawan, Kyle Spence, Chris Callison-Burch, Morgan McGuire, Victor B. Zordan:
Learning When to Speak: Latency and Quality Trade-offs for Simultaneous Speech-to-Speech Translation with Offline Models. - Alp Sahin, Subhrajit Bhattacharya:
Optimal Path Planning in Distinct Topo-Geometric Classes using Neighborhood-augmented Graph and its Application to Path Planning for a Tethered Robot in 3D. - Ali Kamali, Kaveh Laksari:
Physics-informed UNets for Discovering Hidden Elasticity in Heterogeneous Materials. - Qibo Qiu, Haiming Gao, Wenxiao Wang, Zhiyi Su, Tian Xie, Wei Hua, Xiaofei He:
SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition. - Rhitabrat Pokharel, Ameeta Agrawal:
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples. - Xiang Ma, Qun Wang, Haijian Sun, Rose Qingyang Hu, Yi Qian:
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning. - Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang:
Counting Crowds in Bad Weather. - Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu:
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms. - Matthew K. Hong, Shabnam Hakimi, Yan-Ying Chen, Heishiro Toyoda, Charlene C. Wu, Matthew Klenk:
Generative AI for Product Design: Getting the Right Design and the Design Right. - Marcelo Mendoza, Naim Bro:
Predicting affinity ties in a surname network. - Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, Tianyi Zhang:
Is Model Attention Aligned with Human Attention? An Empirical Study on Large Language Models for Code Generation. - Shuvendu Roy, Ali Etemad:
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data. - Yukai Qiao, Marcus Gallagher:
Modularity based linkage model for neuroevolution. - Shuvendu Roy, Ali Etemad:
Exploring the Boundaries of Semi-Supervised Facial Expression Recognition: Learning from In-Distribution, Out-of-Distribution, and Unconstrained Data. - Mohammad Ghavamzadeh, Marek Petrik, Guy Tennenholtz:
A Convex Relaxation Approach to Bayesian Regret Minimization in Offline Bandits. - Tengfei Ma, Trong Nghia Hoang, Jie Chen:
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs. - Alistair Pattison, Nicholas Hopper:
Committee Moderation on Encrypted Messaging Platforms. - Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yan Lu:
Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators. - Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang:
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations. - Yu Yang, Hao Kang, Baharan Mirzasoleiman:
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning. - Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu:
THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval. - Aniket Deroy, Kripabandhu Ghosh, Saptarshi Ghosh:
How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? - Zibin Zhao:
Transforming ECG Diagnosis: An In-depth Review of Transformer-based DeepLearning Models in Cardiovascular Disease Detection. - Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. - Sin-Yu Huang, Kuang-Hao Liu:
Average AoI Minimization for Energy Harvesting Relay-aided Status Update Network Using Deep Reinforcement Learning. - Haibo Qiu, Baosheng Yu, Dacheng Tao:
Collect-and-Distribute Transformer for 3D Point Cloud Analysis. - Jincao Feng, Weikai Miao, Hanyue Zheng, Yihao Huang, Jianwen Li, Zheng Wang, Ting Su, Bin Gu, Geguang Pu, Mengfei Yang, Jifeng He:
FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain. - Yevhen Kostiuk, Atnafu Lambebo Tonja, Grigori Sidorov, Olga Kolesnikova:
Automatic Translation of Hate Speech to Non-hate Speech in Social Media Texts. - Dinh-Liem Nguyen, Trung Truong:
A stable imaging functional for anisotropic periodic media in electromagnetic inverse scattering. - Weizhe Chen, Roni Khardon, Lantao Liu:
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. - Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu:
Calibrating Multimodal Learning. - Zhengxiang Shi, Xi Wang, Aldo Lipani:
Self Contrastive Learning for Session-based Recommendation. - Edward C. Williams, Grace Su, Sandra R. Schloen, Miller C. Prosser, Susanne Paulus, Sanjay Krishnan:
DeepScribe: Localization and Classification of Elamite Cuneiform Signs Via Deep Learning. - Shaoming Peng:
Multi-Robot Path Planning Combining Heuristics and Multi-Agent Reinforcement Learning. - Binghui Li, Yuanzhi Li:
Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training. - Hossein Aboutalebi, Dayou Mao, Carol Xu, Alexander Wong:
DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection. - Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima, Shinsaku Kiyomoto, Isao Echizen:
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations. - Hyeonah Kim, Minsu Kim, Sungsoo Ahn, Jinkyoo Park:
Symmetric Exploration in Combinatorial Optimization is Free! - Nathan Beck, Krishnateja Killamsetty, Suraj Kothawade, Rishabh K. Iyer:
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification. - Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott:
Efficient volumetric mapping of multi-scale environments using wavelet-based compression. - Hongde Wu, Sen Yan, Mingming Liu:
Recent Advances in Graph-based Machine Learning for Applications in Smart Urban Transportation Systems. - Chung-Ching Chang, David Reitter, Renat Aksitov, Yun-Hsuan Sung:
KL-Divergence Guided Temperature Sampling. - Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. - Xiaotian Liu, Héctor Palacios, Christian Muise:
Egocentric Planning for Scalable Embodied Task Achievement. - Jan Nordström:
Nonlinear Boundary Conditions for Initial Boundary Value Problems with Applications in Computational Fluid Dynamics. - Peng Zhang, Jiaquan Wei, Yuhong Liu, Hongwei Liu:
Proxy Re-encryption based Fair Trade Protocol for Digital Goods Transactions via Smart Contracts. - David Nistér, Jaikrishna Soundararajan, Yizhou Wang, Harshad Sane:
Nonholonomic Motion Planning as Efficient as Piano Mover's. - Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang, Jinfeng Bai:
DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model. - Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang:
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. - Charbel Bou Chaaya, Sumudu Samarakoon, Mehdi Bennis:
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations. - Mohammad Soleymani, Ignacio Santamaría, Eduard A. Jorswieck:
Energy-efficient Rate Splitting for MIMO STAR-RIS-assisted Broadcast Channels with I/Q Imbalance. - Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. - Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin F. Yang, Kai-Wei Chang:
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. - Zikai Zhou:
Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysis. - Stefano Lia, Giovanni Longobardi, Giuseppe Marino, Rocco Trombetti:
Short rank-metric codes and scattered subspaces. - Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi:
Independent Modular Networks. - Etienne Levecque, Patrick Bas, Jan Butora:
Compatibility and Timing Attacks for JPEG Steganalysis. - Daimeng Wei, Zhanglin Wu, Hengchao Shang, Zongyao Li, Minghan Wang, Jiaxin Guo, Xiaoyu Chen, Zhengzhe Yu, Hao Yang:
Text Style Transfer Back-Translation. - Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, Jorge Jorge Cardoso:
Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models. - Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang:
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? - Theresa Eimer, Marius Lindauer, Roberta Raileanu:
Hyperparameters in Reinforcement Learning and How To Tune Them. - Alejandro Benito-Santos, Adrián Ghajari, Pedro Hernández, Víctor Fresno, Salvador Ros, Elena González-Blanco:
LyricSIM: A novel Dataset and Benchmark for Similarity Detection in Spanish Song LyricS. - Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa, Marta R. Costa-jussà:
Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23. - Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada:
Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information. - Vasantha Kumar Venugopal, Abhishek Gupta, Rohit Takhar, Charlene Jin Yee Liew, Catherine Jones, Gilberto Szarf:
Navigating Fairness in Radiology AI: Concepts, Consequences, and Crucial Considerations. - Ying Li, Xingwei Wang, Rongfei Zeng, Praveen Kumar Donta, Ilir Murturi, Min Huang, Schahram Dustdar:
Federated Domain Generalization: A Survey. - Clemens Arndt, Alexander Denker, Sören Dittmer, Nick Heilenkötter, Meira Iske, Tobias Kluth, Peter Maass, Judith Nickel:
Invertible residual networks in the context of regularization theory for linear inverse problems. - Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang:
An Empirical Study on Challenging Math Problem Solving with GPT-4. - Nikita Zeulin, Olga Galinina, Nageen Himayat, Sergey Andreev:
Resource-Efficient Federated Hyperdimensional Computing. - Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Transformer-based Annotation Bias-aware Medical Image Segmentation. - Junchuan Liang, Rong Wang:
Covert Communication Based on the Poisoning Attack in Federated Learning. - Long Ma, Dian Jin, Nan An, Jinyuan Liu, Xin Fan, Risheng Liu:
Bilevel Fast Scene Adaptation for Low-Light Image Enhancement. - Josef Bengtson, David Nilsson, Che-Tsung Lin, Marcel Büsching, Fredrik Kahl:
Adjustable Visual Appearance for Generalizable Novel View Synthesis. - Beatriz Soret, Israel Leyva-Mayorga, Federico Lozano-Cuadra, Mathias D. Thorsager:
Q-learning for distributed routing in LEO satellite constellations. - Bin Liu, Erjia Chen, Bang Wang:
Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling. - Dimitri Watel, Pierre-Louis Poirion:
The Maximum Matrix Contraction Problem. - Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. - Sivaram Krishnan, Mahyar Nemati, Seng W. Loke, Jihong Park, Jinho Choi:
Energy-Efficient UAV-Assisted IoT Data Collection via TSP-Based Solution Space Reduction. - Junchuan Liang, Rong Wang:
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking. - Tejasvee Bisen, Mohammed Javed, Shashank Kirtania, P. Nagabhushan:
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents. - Mischa Dombrowski, Bernhard Kainz:
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. - Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. - Jaime Pérez, Mario Castro, Gregorio López:
Generation of Probabilistic Synthetic Data for Serious Games: A Case Study on Cyberbullying.