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ORCIDCoRR, May 2023
- Le-Anh Tran, Dong-Chul Park:
Feature Embedding Clustering using POCS-based Clustering Algorithm. - Junrong Lin, Mahmudul Hasan, Pinar Acar, José H. Blanchet, Vahid Tarokh:
Neural Network Accelerated Process Design of Polycrystalline Microstructures. - Tao Li
, Zhangke Liang, Andreas Dreizler, Benjamin Böhm:
Accurate ignition detection of solid fuel particles using machine learning. - Shayan Gharib, Minh Tran, Diep Luong, Konstantinos Drossos, Tuomas Virtanen:
Adversarial Representation Learning for Robust Privacy Preservation in Audio. - Alberto Baccini, Lucio Barabesi, Martina Cioni, Eugenio Petrovich, Daria Pignalosa:
Fine-grained classification of journal articles by relying on multiple layers of information through similarity network fusion: the case of the Cambridge Journal of Economics. - Thomas Hader, Daniela Kaufmann, Laura Kovács:
SMT Solving over Finite Field Arithmetic. - Jesse Donkervliet, Javier Ron, Junyan Li, Tiberiu Iancu, Cristina L. Abad, Alexandru Iosup:
Servo: Increasing the Scalability of Modifiable Virtual Environments Using Serverless Computing - Extended Technical Report. - Kaari Landry, Olivier Tremblay Savard, Manuel Lafond:
Finding agreement cherry-reduced subnetworks in level-1 networks. - Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata:
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. - Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li:
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. - Elizabeth M. Jacobs, Fani Deligianni, Frank E. Pollick:
Threat Perception Modulation by Capturing Emotion, Motor and Empathetic System Responses: A Systematic Review. - Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa:
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. - Hadi Hosseini, Shivika Narang, Tomasz Was:
Fair Distribution of Delivery Orders. - Nagabhushan Somraj, Rajiv Soundararajan:
ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields. - Vivek Ramavajjala, Peetak P. Mitra:
Verification against in-situ observations for Data-Driven Weather Prediction. - Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan:
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. - Zeyu Wang, Yu Wu:
Click-Feedback Retrieval. - Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia:
LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Zhengzhong Liang, Zeyu Zhang, Steven Bethard, Mihai Surdeanu:
Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning. - Gilles Dowek, François Thiré:
Logipedia: a multi-system encyclopedia of formal proofs. - Christian Antic:
Logic-based similarity. - Florian Arbes, Constantin Greif, Karsten Urban:
The Kolmogorov N-width for linear transport: Exact representation and the influence of the data. - Nurislam Tursynbek, Marc Niethammer:
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features. - Javad Khoramdel, Soheila Hatami, Majid Sadedel:
Wearing face mask detection using deep learning through COVID-19 pandemic. - Chirag Gupta, Aaditya Ramdas:
Online Platt Scaling with Calibeating. - Qiang Du, Huaiyu Li, Michael I. Weinstein, Lu Zhang:
Discontinuous Galerkin methods for a first-order semi-linear hyperbolic continuum model of a topological resonator dimer array. - Nicolás García Trillos, Matt Jacobs, Jakwang Kim:
On the existence of solutions to adversarial training in multiclass classification. - Saminu Mohammad Aliyu, Idris Abdulmumin, Shamsuddeen Hassan Muhammad, Ibrahim Said Ahmad, Saheed Abdullahi Salahudeen, Aliyu Yusuf, Falalu Ibrahim Lawan:
HausaNLP at SemEval-2023 Task 10: Transfer Learning, Synthetic Data and Side-Information for Multi-Level Sexism Classification. - Binnur Görer, Fatma Basak Aydemir:
Emerging Technologies in Requirements Elicitation Interview Training: Robotic and Virtual Tutors. - Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, Armin Parchami:
Exploiting the Distortion-Semantic Interaction in Fisheye Data. - Jun Kataoka, Hyunsoo Yoon:
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain. - Shiva Nejati, Lev Sorokin, Damir Safin, Federico Formica, Mohammad Mahdi Mahboob, Claudio Menghi:
Reflections on Surrogate-Assisted Search-Based Testing: A Taxonomy and Two Replication Studies based on Industrial ADAS and Simulink Models. - Dang Bui, Wanwan Li, Hong Huang:
CarGameAR: An Integrated AR Car Game Authoring Interface for Custom-Built Car Programed on Arduino Board. - Mustafa Can Camur, Chin-Yuan Tseng, Aristotelis E. Thanos, Chelsea C. White III, Walter Yund, Eleftherios Iakovou:
An Integrated System Dynamics and Discrete Event Supply Chain Simulation Framework for Supply Chain Resilience with Non-Stationary Pandemic Demand. - Thomas Hastings Greer, Lin Tian, François-Xavier Vialard, Roland Kwitt, Sylvain Bouix, Raúl San José Estépar, Richard Jarrett Rushmore, Marc Niethammer:
Inverse Consistency by Construction for Multistep Deep Registration. - Fatemeh Ghaffari, Mark C. Wilson:
A model for reference list length of scholarly articles. - Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schütze:
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis. - Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis:
Improving Gradient Computation for Differentiable Physics Simulation with Contacts. - Francesco Regazzoni, Stefano Pagani, Matteo Salvador, Luca Dede', Alfio Quarteroni:
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes. - Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu:
NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation. - Timothy A. Smith, Stephen G. Penny, Jason A. Platt, Tse-Chun Chen:
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence. - Yuchen Liu, Natasha Ong, Kaiyan Peng, Bo Xiong, Qifan Wang, Rui Hou, Madian Khabsa, Kaiyue Yang, David Liu, Donald S. Williamson, Hanchao Yu:
MMViT: Multiscale Multiview Vision Transformers. - Hau Trung Dang, Eirik Keilegavlen, Inga Berre:
Modeling of mixed-mechanism stimulation for the enhancement of geothermal reservoirs. - Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel:
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. - Christian Mattjie de Oliveira, Luis Vinícius de Moura, Rafaela Cappelari Ravazio, Lucas Silveira Kupssinskü, Otávio Parraga, Marcelo Mussi Delucis, Rodrigo Coelho Barros:
Zero-shot performance of the Segment Anything Model (SAM) in 2D medical imaging: A comprehensive evaluation and practical guidelines. - Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Marco Levorato:
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings. - Iva Vasic, Roberto Pierdicca, Emanuele Frontoni, Bata Vasic:
A New Technique of the Virtual Reality Visualization of Complex Volume Images from the Computer Tomography and Magnetic Resonance Imaging. - Kent K. Chang, Mackenzie Cramer, Sandeep Soni, David Bamman:
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4. - Edgar Pacheco:
The social media use of adult New Zealanders: Evidence from an online survey. - Hsuan-I Ho, Lixin Xue, Jie Song, Otmar Hilliges:
Learning Locally Editable Virtual Humans. - Monika Henzinger, Paul Liu, Jan Vondrák, Da Wei Zheng:
Faster Submodular Maximization for Several Classes of Matroids. - Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Dominique Ginhac:
DSEC-MOS: Segment Any Moving Object with Moving Ego Vehicle. - Jiaju Qi, Lei Lei, Kan Zheng, Simon X. Yang, Xuemin Shen:
Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning. - Rajshekhar Das, Jonathan Francis, Sanket Vaibhav Mehta, Jean Oh, Emma Strubell, José M. F. Moura:
Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints. - Emmanuel Martinez, Roman Jacome, Alejandra Hernandez-Rojas, Henry Arguello:
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization. - Christina Chaccour, Walid Saad, Mérouane Debbah, H. Vincent Poor:
Joint Sensing, Communication, and AI: A Trifecta for Resilient THz User Experiences. - Taha Khamis, Hamam Mokayed:
Optimizing the AI Development Process by Providing the Best Support Environment. - Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. - Xuan Kien Phung, Sylvie Hamel:
Space reduction techniques for the 3-wise Kemeny problem. - (Withdrawn) A locking-free mixed enriched Galerkin method of arbitrary order for linear elasticity using the stress-displacement formulation.
- Bin Du, Kun Qian, Christian G. Claudel, Dengfeng Sun:
Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances. - Krzysztof Choromanski:
Taming graph kernels with random features. - Hongyu Sun, Yongcai Wang, Peng Wang, Xudong Cai, Deying Li:
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding. - Hanyu Sun, Xiao Huang, Wei Ma:
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking. - Kai Xu, Ziwei Yu, Xin Wang, Michael Bi Mi, Angela Yao:
An Implicit Alignment for Video Super-Resolution. - Hanyu Sun:
The Combination of Metal Oxides as Oxide Layers for RRAM and Artificial Intelligence. - Chen Li, Zeyi Liu, Limin Wang, Minyue Li, Xiao He:
An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System. - Peng Fan, Dongyue Guo, Jianwei Zhang, Bo Yang, Yi Lin:
Enhancing multilingual speech recognition in air traffic control by sentence-level language identification. - Subham Sabud, Preetam Kumar:
A Novel Rotated Constellation-based LLR Detector for Flexible NOMA based OFDM-IM Scheme. - Ragesh Jaiswal, Amit Kumar:
Clustering What Matters in Constrained Settings. - Hassan Wasfi, Richard Stone:
The Effectiveness of Applying Different Strategies on Recognition and Recall Textual Password. - Shihang Lu, Fan Liu, Yunxin Li, Kecheng Zhang, Hongjia Huang, Jiaqi Zou, Xinyu Li, Yuxiang Dong, Fuwang Dong, Jia Zhu, Yifeng Xiong, Weijie Yuan, Yuanhao Cui, Lajos Hanzo:
Integrated Sensing and Communications: Recent Advances and Ten Open Challenges. - Nikolaos Vasilikopoulos, Nikos Kolotouros, Aggeliki Tsoli, Antonis A. Argyros:
TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation. - David Alonso del Barrio, Daniel Gatica-Perez:
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework. - Itamar Cohen, Paolo Giaccone, Carla-Fabiana Chiasserini:
Asynchronous Distributed Protocol for Service Provisioning in the Edge-Cloud Continuum. - Xiaoyu Chen, Jingcheng Liu, Yitong Yin:
Uniqueness and Rapid Mixing in the Bipartite Hardcore Model. - Ayse Altay, Abdurrahman Gumus:
Real-Time Superficial Vein Imaging System for Observing Abnormalities on Vascular Structures. - Sanjay Chandrasekaran, Vishnu Varadan, Siva Vignesh Krishnan, Florian Dörfler, Mohammad H. Mamduhi:
Distributed State Estimation for Linear Time-Varying Systems with Sensor Network Delays. - Muratcan Ayik, Elif Tugce Ceran, Elif Uysal:
Optimization of AoII and QAoII in Multi-User Links. - Verena Häberle, Linbin Huang, Xiuqiang He, Roy S. Smith, Florian Dörfler:
MIMO Grid Impedance Identification of Three-Phase Power Systems: Parametric vs. Nonparametric Approaches. - Yesheng Zhang, Xu Zhao, Dahong Qian:
Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching. - Zachary Izzo, Ruishan Liu, James Zou:
Data-Driven Subgroup Identification for Linear Regression. - Ying Sun, Hengshu Zhu, Hui Xiong:
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic. - Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. - Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz:
CARLA-BSP: a simulated dataset with pedestrians. - Petr Prucha:
Towards Discovering Erratic Behavior in Robotic Process Automation with Statistical Process Control. - Abdul Karim Gizzini, Marwa Chafii:
Deep Learning Based Channel Estimation in High Mobility Communications Using Bi-RNN Networks. - Shahroz Khan, Kosa Goucher-Lambert, Konstantinos V. Kostas, Panagiotis D. Kaklis:
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model. - Mei Yang, Gao Qiu, Yong Wu, Junyong Liu, Nina Dai, Yue Shui, Kai Liu, Lijie Ding:
Physics-Guided Graph Neural Networks for Real-time AC/DC Power Flow Analysis. - Alexander Koplenig:
Still no evidence for an effect of the proportion of non-native speakers on language complexity - A response to Kauhanen, Einhaus & Walkden (2023). - Mohsen Jenadeleh, Johannes Zagermann, Harald Reiterer, Ulf-Dietrich Reips, Raouf Hamzaoui, Dietmar Saupe:
Relaxed forced choice improves performance of visual quality assessment methods. - Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll, Bernhard Sick:
Sensor Equivariance by LiDAR Projection Images. - Vignesh V. Menon, Jingwen Zhu, Prajit T. Rajendran, Hadi Amirpour, Patrick Le Callet, Christian Timmerer:
Just Noticeable Difference-aware Per-Scene Bitrate-laddering for Adaptive Video Streaming. - Jeremy Cleeman, Kian Agrawala, Rajiv Malhotra:
Accelerated and Inexpensive Machine Learning for Manufacturing Processes with Incomplete Mechanistic Knowledge. - Bernd Hofmann, Chantal Klinkhammer, Robert Plato:
New results for variational regularization with oversmoothing penalty term in Banach spaces. - Anamaria Mojica-Hanke:
Towards machine learning guided by best practices. - Mohammad Fraiwan, Natheer Khasawneh:
A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions. - Fahad Maqbool, Muhammad Saad Razzaq, Hajira Jabeen:
The FAIRy Tale of Genetic Algorithms. - Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. - Rian Dolphin, Barry Smyth, Ruihai Dong:
Industry Classification Using a Novel Financial Time-Series Case Representation. - Alexandros Papadopoulos, Anastasios Delopoulos:
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions. - Liangyu Zhang, Yang Peng, Wenhao Yang, Zhihua Zhang:
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning. - Kewei Zhu, Sibo Cheng, Nina Kovalchuk, Mark Simmons, Yi-Ke Guo, Omar K. Matar, Rossella Arcucci:
Analyzing drop coalescence in microfluidic device with a deep learning generative model. - Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You:
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention. - Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu:
A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges. - Omair Faraj, David Megías, Joaquín García-Alfaro:
ZIRCON: Zero-watermarking-based approach for data integrity and secure provenance in IoT networks. - Muqing Cao, Kun Cao, Shenghai Yuan, Kangcheng Liu, Yan Loi Wong, Lihua Xie:
Path Planning for Multiple Tethered Robots Using Topological Braids. - Fei Wen, Wei Wang, Wenxian Yu:
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning. - Pei Zhang, Yanli Wang, Zhennan Zhou:
A spectral method for a Fokker-Planck equation in neuroscience with applications in neural networks with learning rules. - Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, SeungKyu Lee, Sung-Ho Bae, Choong Seon Hong:
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. - Cecilia Ka Yuk Chan:
A Comprehensive AI Policy Education Framework for University Teaching and Learning. - (Withdrawn) Path and trajectory planning of a tethered UAV-UGV marsupial robotic system.
- Yijun Yuan, Andreas Nüchter:
NSLF-OL: Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction. - Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Hang Su, Chenguang Yang, Kai Huang, Alois C. Knoll:
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning. - Zheng Liu, Fu Zhang:
An Efficient Plane Extraction Approach for Bundle Adjustment on LiDAR Point clouds. - Cecilia Ka Yuk Chan, Wenjie Hu:
Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education. - V. Banupriya, S. Anusuya:
Improving Classification of Retinal Fundus Image Using Flow Dynamics Optimized Deep Learning Methods. - Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita:
Environmental sound conversion from vocal imitations and sound event labels. - Gideon Freund, Elad Sarafian, Sarit Kraus:
A Coupled Flow Approach to Imitation Learning. - Mario Alviano, Francesco Bartoli, Marco Botta, Roberto Esposito, Laura Giordano, Daniele Theseider Dupré:
A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality. - Pawel Parys, Aleksander Wiacek:
Improved Complexity Analysis of Quasi-Polynomial Algorithms Solving Parity Games. - Manal E. Helal:
Patent Mining by Extracting Functional Analysis Information Modelled As Graph Structure: A Patent Knowledge-base Collaborative Building Approach. - Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang:
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. - Walter Zimmer, Joseph Birkner, Marcel Brucker, Huu-Tung Nguyen, Stefan Petrovski, Bohan Wang, Alois C. Knoll:
InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors. - Mirza Kamrul Bashar Shuhan, Syed Md. Hasnayeen, Tanmoy Krishna Das, Md. Nazmus Sakib, Md. Sadek Ferdous:
Decentralised Identity Federations using Blockchain. - Liangzu Peng, Paris V. Giampouras, René Vidal:
The Ideal Continual Learner: An Agent That Never Forgets. - Andrés Hoyos Idrobo:
Learning to Re-rank with Constrained Meta-Optimal Transport. - Arthur Josi, Mahdi Alehdaghi, Rafael M. O. Cruz, Eric Granger:
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data. - Kefan Dong, Tengyu Ma:
Toward L∞-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields. - AmirHossein Naghshzan, Saeed Khalilazar, Pierre Poilane, Olga Baysal, Latifa Guerrouj, Foutse Khomh:
Leveraging Data Mining Algorithms to Recommend Source Code Changes. - Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen:
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection. - Bharath Reddy, Richard Fields:
Maximum Match Subsequence Alignment Algorithm Finely Grained (MMSAA FG). - James Mayfield, Eugene Yang, Dawn J. Lawrie, Samuel Barham, Orion Weller, Marc Mason, Suraj Nair, Scott Miller:
Synthetic Cross-language Information Retrieval Training Data. - M. Jeroen Van Der Donckt, Jonas Van Der Donckt, Michaël Rademaker, Sofie Van Hoecke:
MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB. - Wenhao Ding:
Critical Scenario Generation for Developing Trustworthy Autonomy. - Pierre Ohlmann:
Positionality of mean-payoff games on infinite graphs. - Marius Memmel, Roman Bachmann, Amir Zamir:
Modality-invariant Visual Odometry for Embodied Vision. - Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou:
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. - Rafael Oliveira Ribeiro, João C. R. Neves, Arnout C. C. Ruifrok, Flavio de Barros Vidal:
Embedding Aggregation for Forensic Facial Comparison. - Yifang Xu, Yunzhuo Sun, Yang Li, Yilei Shi, Xiaoxiang Zhu, Sidan Du:
MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer. - Jan Niklas Kolf, Tim Rieber, Jurek Elliesen, Fadi Boutros, Arjan Kuijper, Naser Damer:
Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition. - Linwei Sang, Yinliang Xu, Huan Long, Qinran Hu, Hongbin Sun:
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach. - Mikhail Genkin, J. J. McArthur:
ReLBOT: A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Smart Buildings. - Yuze Lou, Bailey Kuehl, Erin Bransom, Sergey Feldman, Aakanksha Naik, Doug Downey:
S2abEL: A Dataset for Entity Linking from Scientific Tables. - Cong Thanh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Yong Xiao, Dusit Niyato, Eryk Dutkiewicz:
MetaShard: A Novel Sharding Blockchain Platform for Metaverse Applications. - Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan S. Kankanhalli:
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization. - Mohamed Debbagh:
Neural Radiance Fields (NeRFs): A Review and Some Recent Developments. - Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger:
Image Completion via Dual-path Cooperative Filtering. - Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy:
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning. - Anders Mølmen Høst, Pierre Lison, Leon Moonen:
Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database. - Haihui Xie, Minghua Xia, Peiran Wu, Shuai Wang, H. Vincent Poor:
Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication. - Dong Xiao, Zuoqiang Shi, Bin Wang:
Alternately denoising and reconstructing unoriented point sets. - Siyu Gao, Yanpeng Zhao, Yunbo Wang, Xiaokang Yang:
Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding. - Su Pang, Daniel D. Morris, Hayder Radha:
TransCAR: Transformer-based Camera-And-Radar Fusion for 3D Object Detection. - Minghui Yang, Jing Liu, Zhiwei Yang, Zhaoyang Wu:
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification. - Jingfeng Zhang, Bo Song, Bo Han, Lei Liu, Gang Niu, Masashi Sugiyama:
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks. - Graham H. Norton:
On Rueppel's Linear Complexity Conjecture. - Zhongyang Zhu, Junqiao Zhao, Xuebo Tian, Kai Huang, Chen Ye:
LIMOT: A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking. - Bishnu P. Lamichhane:
An optimal error estimate for a mixed finite element method for a biharmonic problem with clamped boundary conditions. - Kaiqiang Liu, Zhengchun Zhou, Avik Ranjan Adhikary, Rong Luo:
New sets of Non-Orthogonal Spreading Sequences With Low Correlation and Low PAPR Using Extended Boolean Functions. - Vishesh Mittal, Rahul Meshram, Deepak Dev, Surya Prakash:
Indexability of Finite State Restless Multi-Armed Bandit and Rollout Policy. - R. Selvaraj, T. Satheesh, V. Suresh, V. Yathavaraj:
Optimized Machine Learning for CHD Detection using 3D CNN-based Segmentation, Transfer Learning and Adagrad Optimization. - Zhe Chen, Yang Yang, Anne Bettens, Youngho Eun, Xiaofeng Wu:
A Simulation-Augmented Benchmarking Framework for Automatic RSO Streak Detection in Single-Frame Space Images. - (Withdrawn) Transformer-based Sequence Labeling for Audio Classification based on MFCCs.
- Mohammed Latif Siddiq, Joanna C. S. Santos, Ridwanul Hasan Tanvir, Noshin Ulfat, Fahmid Al Rifat, Vinicius Carvalho Lopes:
Exploring the Effectiveness of Large Language Models in Generating Unit Tests. - Ela Liberman-Pincu, Oliver Korn, Jonas Grund, Elmer D. van Grondelle, Tal Oron-Gilad:
Designing Socially Assistive Robots: Exploring Israeli and German Designers' Perceptions. - David Ayotte, Xavier Caruso, Antoine Leudière, Joseph Musleh:
Drinfeld modules in SageMath. - Yi-Jun Chang:
Ortho-Radial Drawing in Near-Linear Time. - Michal Les, Michal Wozniak:
Transfer of knowledge among instruments in automatic music transcription. - Renke Huang, Jiachi Chen, Yanlin Wang, Tingting Bi, Zibin Zheng:
An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity. - Zhenrong Liu, Zongze Li, Miaowen Wen, Yi Gong, Yik-Chung Wu:
STAR-RIS-Aided Mobile Edge Computing: Computation Rate Maximization with Binary Amplitude Coefficients. - Rathindra Nath Dutta, Subhojit Sarkar, Sasthi C. Ghosh:
Dynamic Obstacles Tracking in mmWave Networks. - Christian Schellenberger, Christopher Hobelsberger, Bastian Kolb-Grunder, Florian Herrmann, Hans D. Schotten:
Leveraging 5G private networks, UAVs and robots to detect and combat broad-leaved dock (Rumex obtusifolius) in feed production. - Elia Bonetto, Aamir Ahmad:
Synthetic Data-based Detection of Zebras in Drone Imagery. - Burak Ercan, Onur Eker, Aykut Erdem, Erkut Erdem:
EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction. - Jie Ren, Wenya Yu, Jiapan Guo, Weichuan Zhang, Changming Sun:
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection. - Rogardt Heldal, Ngoc-Thanh Nguyen, Ana Moreira, Patricia Lago, Leticia Duboc, Stefanie Betz, Vlad C. Coroama, Birgit Penzenstadler, Jari Porras, Rafael Capilla, Ian Brooks, Shola Oyedeji, Colin C. Venters:
Sustainability Competencies and Skills in Software Engineering: An Industry Perspective. - NareshKumar Gurulingan, Bahram Zonooz, Elahe Arani:
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal. - Hiuchung Hung, Andreas Maier, Thorsten Piske:
Building a Non-native Speech Corpus Featuring Chinese-English Bilingual Children: Compilation and Rationale. - Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. - Yunbo Dong:
Predictability of Machine Learning Algorithms and Related Feature Extraction Techniques. - Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, Zhenzhong Lan:
SMILE: Single-turn to Multi-turn Inclusive Language Expansion via ChatGPT for Mental Health Support. - Sai Yang, Fan Liu, Delong Chen, Jun Zhou:
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. - Jia-Hong Huang, Chao-Han Huck Yang, Pin-Yu Chen, Min-Hung Chen, Marcel Worring:
Causalainer: Causal Explainer for Automatic Video Summarization. - (Withdrawn) Graph Global Attention Network with Memory for Fake News Detection.
- Yu Zhu, Boning Li, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering based on the 1-Laplacian. - Bu-Feng Ge, Ming-Yuan Gao, Hao Dong:
Unified high-order multi-scale method for mechanical behavior simulation and strength prediction of composite plate and shell structures. - Ngoc Cuong Nguyen, Jaime Peraire:
Efficient and accurate nonlinear model reduction via first-order empirical interpolation. - Júlio Araújo, Mitre Costa Dourado, Fábio Protti, Rudini M. Sampaio:
The general position number and the iteration time in the P3 convexity. - Daron Acemoglu, Asuman E. Ozdaglar, Sarath Pattathil:
Learning, Diversity and Adaptation in Changing Environments: The Role of Weak Links. - Remo Sasso, Michelangelo Conserva, Paulo E. Rauber:
Posterior Sampling for Deep Reinforcement Learning. - Ning Liu, Siavash Jafarzadeh, Yue Yu:
Domain Agnostic Fourier Neural Operators. - John Urschel:
Representing the Special Linear Group with Block Unitriangular Matrices. - Kedeng Tong, Xin Jin, Yuqing Yang, Chen Wang, Jinshi Kang, Fan Jiang:
Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global Attention. - Onur Mutlu, Can Firtina:
Accelerating Genome Analysis via Algorithm-Architecture Co-Design. - Chaoqun Guo, Jiangping Hu, Jiasheng Hao, Sergej Celikovský, Xiaoming Hu:
Fixed-time safe tracking control of uncertain high-order nonlinear pure-feedback systems via unified transformation functions. - Zihan Zhou, Animesh Garg:
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward. - Anqi Wang, Jiahua Dong, Jiachuan Shen, Lik-Hang Lee, Pan Hui:
Towards Computational Architecture of Liberty: A Comprehensive Survey on Deep Learning for Generating Virtual Architecture in the Metaverse. - Nick Brown, Maurice Jamieson, Joseph K. L. Lee:
Experiences of running an HPC RISC-V testbed. - Long Li, Junwei Han, Ni Zhang, Nian Liu, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan:
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection. - Qiong Chang, Xin Li, Yun Li, Jun Miyazaki:
Multi-directional Sobel operator kernel on GPUs. - Yasith Amarasinghe, Darshana Sandaruwan, Thilina Madusanka, Indika Perera, Lakmal Meegahapola:
Multimodal Earable Sensing for Human Energy Expenditure Estimation. - Taekyung Ki, Dongchan Min:
StyleLipSync: Style-based Personalized Lip-sync Video Generation. - Steven T. Piantadosi:
How to enumerate trees from a context-free grammar. - Fathima Zarin Faizal, Adway Girish, Manjesh Kumar Hanawal, Nikhil Karamchandani:
ICQ: A Quantization Scheme for Best-Arm Identification Over Bit-Constrained Channels. - Roee Mordechai Francos, Alfred M. Bruckstein:
Guaranteed Evader Detection in Multi-Agent Search Tasks using Pincer Trajectories. - Abu Reyan Ahmed, Mithun Ghosh, Kwang-Sung Jun, Stephen G. Kobourov:
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search. - Lei Gao, Ling Guan:
Interpretability of Machine Learning: Recent Advances and Future Prospects. - Yanfang Le, Jeongkeun Lee, Jeremias Blendin, Jiayi Chen, Georgios Nikolaidis, Rong Pan, Robert Soulé, Aditya Akella, Pedro Yebenes Segura, Arjun Singhvi, Yuliang Li, Qingkai Meng, Changhoon Kim, Serhat Arslan:
SFC: Near-Source Congestion Signaling and Flow Control. - Hua Tong, Kuanren Qian, Eni Halilaj, Yongjie Jessica Zhang:
SRL-Assisted AFM: Generating Planar Unstructured Quadrilateral Meshes with Supervised and Reinforcement Learning-Assisted Advancing Front Method. - Geetanjali Bihani, Julia Taylor Rayz:
Calibration Error Estimation Using Fuzzy Binning. - Siyao Li, Giuseppe Caire:
On the State Estimation Error of "Beam-Pointing" Channels: The Binary Case. - Lesley Frew, Michael L. Nelson, Michele C. Weigle:
Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives. - Giovanni Apruzzese, Pavel Laskov, Johannes Schneider:
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection. - Pangoth Santhosh Kumar, Garika Akshay:
Deep Learning-based Spatio Temporal Facial Feature Visual Speech Recognition. - Shaodong Wang, Qing Li, Wenli Zhang:
MD-Manifold: A Medical-Distance-Based Representation Learning Approach for Medical Concept and Patient Representation. - Haoqian Zhang, Mahsa Bastankhah, Louis-Henri Merino, Vero Estrada-Galiñanes, Bryan Ford:
Breaking Blockchain Rationality with Out-of-Band Collusion. - Zhichao Han, Olga Fink, David S. Kammer:
Collective Relational Inference for learning physics-consistent heterogeneous particle interactions. - Florian Emmrich, Lucía Gómez Álvarez, Hannes Strass:
Automated reasoning support for Standpoint-OWL 2. - Junchao Li, Mingyu Cai, Zhen Kan, Shaoping Xiao:
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments. - Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. - Silke Schicktanz, Johannes Welsch, Mark Schweda, Andreas Hein, Jochem W. Rieger, Thomas Kirste:
AI-Assisted Ethics? Considerations of AI Simulation for the Ethical Assessment and Design of Assistive Technologies. - Baiting Zhu, Meihua Dang, Aditya Grover:
Scaling Pareto-Efficient Decision Making Via Offline Multi-Objective RL. - Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei:
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. - Lunet Yifru, Ali Baheri:
Joint Learning of Policy with Unknown Temporal Constraints for Safe Reinforcement Learning. - Harshita Sahijwani, Kaustubh D. Dhole, Ankur P. Purwar, Venugopal Vasudevan, Eugene Agichtein:
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research. - Yixuan Jia, Maulik Bhatt, Negar Mehr:
RAPID: Autonomous Multi-Agent Racing using Constrained Potential Dynamic Games. - Xuehai He, Xin Eric Wang:
Multimodal Graph Transformer for Multimodal Question Answering. - Augustine Musukwa:
On APN functions and their derivatives. - Matthew Weidner, Joseph Gentle, Martin Kleppmann:
The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing. - Jan Wichelmann, Christopher Peredy, Florian Sieck, Anna Pätschke, Thomas Eisenbarth:
MAMBO-V: Dynamic Side-Channel Leakage Analysis on RISC-V. - Michael Hanna, Ollie Liu, Alexandre Variengien:
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model. - Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. - Jon Crall:
The MCC approaches the geometric mean of precision and recall as true negatives approach infinity. - Ming-Chang Lee, Jia-Chun Lin:
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. - Ben Zandonati, Ruohan Wang, Ruihan Gao, Yan Wu:
Investigating Vision Foundational Models for Tactile Representation Learning. - Leonardo de Lellis Rossi, Letícia Mara Berto, Eric Rohmer, Paula Dornhofer Paro Costa, Ricardo Ribeiro Gudwin, Esther Luna Colombini, Alexandre da Silva Simões:
Incremental procedural and sensorimotor learning in cognitive humanoid robots. - Antônio J. G. Abelém, Don Towsley, Gayane Vardoyan:
Quantum Internet: The Future of Internetworking. - Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool:
StyleGenes: Discrete and Efficient Latent Distributions for GANs. - Vamsi Krishna Yepuri, Venkata Kalyan Polamarasetty, Shivani Donthi, Ajay Kumar Reddy Gondi:
Containerization of a polyglot microservice application using Docker and Kubernetes. - Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding:
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation. - Felix Petersen, Tobias Sutter, Christian Borgelt, Dongsung Huh, Hilde Kuehne, Yuekai Sun, Oliver Deussen:
ISAAC Newton: Input-based Approximate Curvature for Newton's Method. - Olha Jurecková, Martin Jurecek, Róbert Lórencz:
Classification and Online Clustering of Zero-Day Malware. - Derguene Mbaye, Moussa Diallo, Thierno Ibrahima Diop:
Low-Resourced Machine Translation for Senegalese Wolof Language. - Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao:
Boosting Weakly-Supervised Temporal Action Localization with Text Information. - Sudatta Bhattacharya, Michal Koucký:
Streaming k-edit approximate pattern matching via string decomposition. - Carl Brando, Minseong Park, Sayma Nowshin Chowdhury, Matthew Chen, Kyusang Lee, Sahil Shah:
Modeling and Analysis of Analog Non-Volatile Devices for Compute-In-Memory Applications. - Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. - Liang Bai, Hangjie Yuan, Tao Feng, Hong Song, Jian Yang:
Refined Response Distillation for Class-Incremental Player Detection. - Ilgee Hong, Huy Tran, Claire Donnat:
A Simplified Framework for Contrastive Learning for Node Representations. - Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion Models for Time Series Applications: A Survey. - Youngmin Baek, Daehyun Nam, Jaeheung Surh, Seung Shin, Seonghyeon Kim:
TRACE: Table Reconstruction Aligned to Corner and Edges. - Zhenpeng Shi, Nikolay Matyunin, Kalman Graffi, David Starobinski:
Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs. - Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie:
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. - Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki:
Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks. - Matthias Eckhart, Andreas Ekelhart, David Allison, Magnus Almgren, Katharina Ceesay-Seitz, Helge Janicke, Simin Nadjm-Tehrani, Awais Rashid, Mark Yampolskiy:
Security-Enhancing Digital Twins: Characteristics, Indicators, and Future Perspectives. - Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri, Mitchell Thomas, Max Mauerman, A. K. M. Saiful Islam, Beth Tellman:
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping. - Anurag Sarkar, Matthew Guzdial, Sam Snodgrass, Adam Summerville, Tiago Machado, Gillian Smith:
Procedural Content Generation via Knowledge Transformation (PCG-KT). - Qifan Wang, Shujie Cui, Lei Zhou, Ye Dong, Jianli Bai, Yun Sing Koh, Giovanni Russello:
GTree: GPU-Friendly Privacy-preserving Decision Tree Training and Inference. - Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Michael Bi Mi, Gim Hee Lee, Angela Yao:
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction. - Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou:
Discover and Cure: Concept-aware Mitigation of Spurious Correlation. - Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Rémi Munos, Will Dabney, Diana L. Borsa:
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition. - Mustafa Ghaleb, Kunwar Muhammed Saaim, Muhamad Felemban, Saleh Alsaleh, Ahmad Almulhem:
File Fragment Classification using Light-Weight Convolutional Neural Networks. - Yeqi Gao, Zhao Song, Junze Yin:
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression. - John Chiang:
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks. - Haohui Wang, Yuzhen Mao, Jianhui Sun, Si Zhang, Dawei Zhou:
Dynamic Transfer Learning across Graphs. - Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu:
Part Aware Contrastive Learning for Self-Supervised Action Recognition. - Yizhe Ma, Fangjian Lin, Sitong Wu, Shengwei Tian, Long Yu:
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation. - Yunhao Bai, Duowen Chen, Qingli Li, Wei Shen, Yan Wang:
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation. - Kunyang Zhou, Rui Zhou:
End-to-End Lane detection with One-to-Several Transformer. - Hojin Lee, Taekyung Kim, Jungwi Mun, Wonsuk Lee:
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control. - Pengfei Li, Jianyi Yang, Shaolei Ren:
Robustified Learning for Online Optimization with Memory Costs. - Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. - Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal:
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification. - Dylan J. Foster, Dean P. Foster, Noah Golowich, Alexander Rakhlin:
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring. - Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. - Axel Gödrich, Daniel König, Gabriel Eilertsen, Michael Teutsch:
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning. - Shavindra Wickramathilaka, Ingo Mueller:
Addressing Age-Related Accessibility Needs of Senior Users Through Model-Driven Engineering. - Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge:
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification. - Abhilash B, Arun Karuppaswamy B:
A Resonant Tank Based Approach for Realizing ZPA in Inductive Power Transfer Systems. - Bertrand Teguia Tabuguia:
Arithmetic of D-Algebraic Functions. - P. H. M. van Spaendonck:
Efficient dynamic model based testing using greedy test case selection. - Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu:
Full Scaling Automation for Sustainable Development of Green Data Centers. - Tom Savage, Nausheen Basha, Jonathan McDonough, Omar K. Matar, Ehecatl Antonio del Rio-Chanona:
Multi-Fidelity Data-Driven Design and Analysis of Reactor and Tube Simulations. - Jatin Nainani, Abhishek Mazumdar, Viraj Sheth:
ZeroSearch: Local Image Search from Text with Zero Shot Learning. - Yipeng Liu, Yingcong Lu, Weiting Ou, Zhen Long, Ce Zhu:
Adaptively Topological Tensor Network for Multi-view Subspace Clustering. - Qiyao Peng, Sander C. Hille:
Quality of approximating a mass-emitting object by a point source in a diffusion model. - Shrutarv Awasthi, Anas Gouda, Richard Julian Lodenkaemper, Moritz Roidl:
Event Camera as Region Proposal Network. - Elena Celledoni, James Jackaman, Davide Murari, Brynjulf Owren:
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences. - Jakub Adamczyk, Wojciech Czech:
Strengthening structural baselines for graph classification using Local Topological Profile. - Ibrahim Malik, Siddique Latif, Sanaullah Manzoor, Muhammad Usama, Junaid Qadir, Raja Jurdak:
Emotions Beyond Words: Non-Speech Audio Emotion Recognition With Edge Computing. - Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? - Sanath Kumar Vengaldas, Adarsh Reddy Muthyala, Bharath Chaitanya Konkati, P. Venkata Subba Reddy:
Integer Linear Programming Formulations for Triple and Quadruple Roman Domination Problems. - Roel Bouman, Zaharah Bukhsh, Tom Heskes:
Unsupervised anomaly detection algorithms on real-world data: how many do we need? - Jeffry Wicaksana, Zengqiang Yan, Kwang-Ting Cheng:
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring. - Mireia Yurrita, Agathe Balayn, Ujwal Gadiraju:
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities. - Kalervo Järvelin, Eero Sormunen:
A Blueprint of IR Evaluation Integrating Task and User Characteristics: Test Collection and Evaluation Metrics. - Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection. - Salman Ahmadi-Asl:
A note on generalized tensor CUR approximation for tensor pairs and tensor triplets based on the tubal product. - Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Rafael Peñaloza, Davide Taibi:
Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report. - Peterson Yuhala, Michael Paper, Timothée Zerbib, Pascal Felber, Valerio Schiavoni, Alain Tchana:
SGX Switchless Calls Made Configless. - Peterson Yuhala, Jämes Ménétrey, Pascal Felber, Valerio Schiavoni, Alain Tchana, Gaël Thomas, Hugo Guiroux, Jean-Pierre Lozi:
Montsalvat: Intel SGX Shielding for GraalVM Native Images. - Huanjing Yue, Cong Cao, Lei Liao, Jingyu Yang:
RViDeformer: Efficient Raw Video Denoising Transformer with a Larger Benchmark Dataset. - Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán:
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. - Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu:
Towards Unbiased Training in Federated Open-world Semi-supervised Learning. - Alessandra Aimi, Giulia Di Credico, Heiko Gimperlein, Ernst P. Stephan:
Higher-order time domain boundary elements for elastodynamics - graded meshes and hp versions. - Ivan Martinovic:
Point Cloud Semantic Segmentation. - Joana Fonseca, Sriharsha Vishnu Bhat, Matthew Lock, Ivan Stenius, Karl Henrik Johansson:
Adaptive Sampling of Algal Blooms Using Autonomous Underwater Vehicle and Satellite Imagery: Experimental Validation in the Baltic Sea. - Maryam Ansarifard, Nader Mokari, Mohammad Reza Javan, Hamid Saeedi, Eduard A. Jorswieck:
AI-based Radio and Computing Resource Allocation and Path Planning in NOMA NTNs: AoI Minimization under CSI Uncertainty. - Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. - Zhenhui Ye, Jinzheng He, Ziyue Jiang, Rongjie Huang, Jiawei Huang, Jinglin Liu, Yi Ren, Xiang Yin, Zejun Ma, Zhou Zhao:
GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation. - Mike Kosek, Luca Schumann, Robin Marx, Trinh Viet Doan, Vaibhav Bajpai:
DNS Privacy with Speed? Evaluating DNS over QUIC and its Impact on Web Performance. - Hiroki Morizumi:
An Approach to Circuit Lower Bounds via Bounded Width Circuits. - Subhajit Maity, Sanket Biswas, Siladittya Manna, Ayan Banerjee, Josep Lladós, Saumik Bhattacharya, Umapada Pal:
SelfDocSeg: A Self-Supervised vision-based Approach towards Document Segmentation. - Xidong Wu, Preston Brazzle, Stephen Cahoon:
Performance and Energy Consumption of Parallel Machine Learning Algorithms. - Dangxing Chen, Weicheng Ye:
How to address monotonicity for model risk management? - Jianshen Zhu, Naveed Ahmed Azam, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
Molecular Design Based on Integer Programming and Splitting Data Sets by Hyperplanes. - Thabiso R. Mabote, Jose E. Tabarez, Arthur K. Barnes, Adam Mate, Russell W. Bent, Eduardo Cotilla Sanchez:
Developing Optimization-Based Inverter Models for Short Circuit Studies. - Yi-Xiao He, Shen-Huan Lyu, Yuan Jiang:
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance. - Manuel Pascal Koch, Colin N. Jones:
A comparison of methods to eliminate regularization weight tuning from data-enabled predictive control. - Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic AI - Why, What, and How. - Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon:
Racial Bias within Face Recognition: A Survey. - Bingqing Liu, Joseph Y. J. Chow:
On-demand Mobility-as-a-Service platform assignment games with guaranteed stable outcomes. - Yun-Cheng Tsai:
Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills. - Prit Pritam Paikaray, Sanghamitra Beuria, Nigam Chandra Parida:
Numerical Approximation of Stochastic Volterra Integral Equation Using Walsh Function. - Julia Olkhovskaya, Jack J. Mayo, Tim van Erven, Gergely Neu, Chen-Yu Wei:
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits. - Jack Lanchantin, Shubham Toshniwal, Jason Weston, Arthur Szlam, Sainbayar Sukhbaatar:
Learning to Reason and Memorize with Self-Notes. - Jonathan Gadea Harder, Simon Krogmann, Pascal Lenzner, Alexander Skopalik:
Strategic Resource Selection with Homophilic Agents. - Eddie Guo, Mehul Gupta, Jiawen Deng, Ye-Jean Park, Mike Paget, Christopher Naugler:
Automated Paper Screening for Clinical Reviews Using Large Language Models. - Mahtab Taheri, Mahdi Taheri, Amirhossein Hadjahmadi:
Noise-Tolerance GPU-based Age Estimation Using ResNet-50. - Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa:
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. - Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann:
Revisiting Robustness in Graph Machine Learning. - Noman Bashir, Yasra Chandio, David E. Irwin, Fatima M. Anwar, Jeremy Gummeson, Prashant J. Shenoy:
Jointly Managing Electrical and Thermal Energy in Solar- and Battery-powered Computer Systems. - Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel:
Analyzing Transatlantic Network Traffic over Scientific Data Caches. - Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
On the Impact of Outlier Bias on User Clicks. - Chenshuang Zhang, Chaoning Zhang, Taegoo Kang, Donghun Kim, Sung-Ho Bae, In So Kweon:
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. - Mikhail Fomichev, Manisha Luthra, Maik Benndorf, Pratyush Agnihotri:
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems. - Michael Blondin, François Ladouceur:
Population Protocols with Unordered Data. - Yifan Shi, Kang Wei, Li Shen, Yingqi Liu, Xueqian Wang, Bo Yuan, Dacheng Tao:
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy. - Arushi Sharma, Zefu Hu, Christopher J. Quinn, Ali Jannesari:
Interpreting Pretrained Source-code Models using Neuron Redundancy Analyses. - Ruida Zhou, Chao Tian, Tie Liu:
Exactly Tight Information-Theoretic Generalization Error Bound for the Quadratic Gaussian Problem. - Glaucia Melo dos Santos, Luis Fernando Lins, Paulo S. C. Alencar, Donald D. Cowan:
Supporting Contextual Conversational Agent-Based Software Development. - Glaucia Melo:
Designing Adaptive Developer-Chatbot Interactions: Context Integration, Experimental Studies, and Levels of Automation. - Sofia F. Yakusheva, Anton S. Khritankov:
Composite metamorphic relations for integration testing. - Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh:
The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback. - Wenqing Zheng, S. P. Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang:
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation. - Jai Prakash, Michele Vignati, Edoardo Sabbioni:
SRPT vs Smith Predictor for Vehicle Teleoperation. - Noorul Ali:
Analysis of reward mechanism for quizmarket. - Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma:
CORSD: Class-Oriented Relational Self Distillation. - Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, Charles A. Kamhoua:
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. - Siddhant Arora, Hayato Futami, Emiru Tsunoo, Brian Yan, Shinji Watanabe:
Joint Modelling of Spoken Language Understanding Tasks with Integrated Dialog History. - Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec:
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. - Prashant Ganesh, J. Humberto Ramos, Vinicius G. Goecks, Jared Paquet, Matthew Longmire, Nicholas R. Waytowich, Kevin M. Brink:
Learning Flight Control Systems from Human Demonstrations and Real-Time Uncertainty-Informed Interventions. - Michael Dikshtein, Nir Weinberger, Shlomo Shamai:
On Mismatched Oblivious Relaying. - Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak, Zachary N. Sunberg:
Explanation through Reward Model Reconciliation using POMDP Tree Search. - Sihun Cha, Kwanggyoon Seo, Amirsaman Ashtari, Junyong Noh:
Generating Texture for 3D Human Avatar from a Single Image using Sampling and Refinement Networks. - Stephen MacNeil, Ziheng Huang, Kenneth Chen, Zijian Ding, Alexander Yu, Kendall Nakai, Steven P. Dow:
Freeform Templates: Combining Freeform Curation with Structured Templates. - Lizhen Wang, Xiaochen Zhao, Jingxiang Sun, Yuxiang Zhang, Hongwen Zhang, Tao Yu, Yebin Liu:
StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video. - Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. - Lucas Augusto Meyer, Sergio Romero, Gabriele Bertoli, Tom Burt, Alex Weinert, Juan Lavista Ferres:
How effective is multifactor authentication at deterring cyberattacks? - Fangwei Cheng, Hongxi Luo, Jesse D. Jenkins, Eric D. Larson:
Inflation Reduction Act impacts on the economics of clean hydrogen and liquid fuels. - Gasper Begus, Maksymilian Dabkowski, Ryan Rhodes:
Large Linguistic Models: Analyzing theoretical linguistic abilities of LLMs. - Vishrut Bohara, Siavash Farzan:
Adaptive Estimation-Based Safety-Critical Cruise Control of Vehicular Platoons. - Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi:
Multi-Agent Systems with Quantitative Satisficing Goals. - Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. - Debarnab Mitra, Lev Tauz, Murat Can Sarihan, Chee Wei Wong, Lara Dolecek:
Non-Binary LDPC Code Design for Energy-Time Entanglement Quantum Key Distribution. - Euna Mehnaz Khan, Ayush Ram, Bhavtosh Rath, Emily Vraga, Jaideep Srivastava:
Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning. - Ryan Hildebrant, Stephan A. Fahrenkrog-Petersen, Matthias Weidlich, Shangping Ren:
PMDG: Privacy for Multi-Perspective Process Mining through Data Generalization. - Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas:
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. - Alexander M. Kübler, Cosima du Pasquier, Andrew K. Low, Betim Djambazi, Nicolas Aymon, Julian Förster, Nathaniel Agharese, Roland Siegwart, Allison M. Okamura:
A Comparison of Pneumatic Actuators for Soft Growing Vine Robots. - David Budaghyan, Arsenii Gorin, Cem Subakan, Charles C. Onu:
CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds. - Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. - Jose González-Abad, Jorge Baño-Medina, Ignacio Heredia Cacha:
On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling. - Jose González-Abad, Jorge Baño-Medina:
Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions. - Mathis Petrovich, Michael J. Black, Gül Varol:
TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis. - Andreas Maurer:
Generalization for slowly mixing processes. - Mohamed Debbagh:
Learning Structured Output Representations from Attributes using Deep Conditional Generative Models. - Emmanuel Aboah Boateng, Jerry W. Bruce:
Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System. - Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk:
Detecting Novelties with Empty Classes. - Laszlo B. Kish:
Ternary Instantaneous Noise-based Logic. - Weiheng Zhong, Hadi Meidani, Jane MacFarlane:
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction. - Bhargav Sagiraju, Nathan Casanova, Lam Ivan Chuen Chun, Manan Lohia, Toshinori Yoshiyasu:
Meat Freshness Prediction. - Olivier Niel:
A novel algorithm can generate data to train machine learning models in conditions of extreme scarcity of real world data. - Samuel Tovey, Sven Krippendorf, Konstantin Nikolaou, Christian Holm:
Towards a Phenomenological Understanding of Neural Networks: Data. - Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Deception Detection with Feature-Augmentation by soft Domain Transfer. - Siddharth Gupta, Marc J. van Kreveld, Othon Michail, Andreas Padalkin:
Collision Detection for Modular Robots - it is easy to cause collisions and hard to avoid them. - Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. - Fadi Boutros, Vitomir Struc, Julian Fiérrez, Naser Damer:
Synthetic Data for Face Recognition: Current State and Future Prospects. - Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen:
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. - Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas, Eugene Pinsky, Igor Mishkovski, Dimitar Trajanov:
Company classification using zero-shot learning. - Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila Fiete:
Model-agnostic Measure of Generalization Difficulty. - Talgar Bayan, Richard Banach:
Exploring the Privacy Concerns in Permissionless Blockchain Networks and Potential Solutions. - Jhonny Mertz, Ingrid Nunes:
Software Runtime Monitoring with Adaptive Sampling Rate to Collect Representative Samples of Execution Traces. - Wenbin He, Suphanut Jamonnak, Liang Gou, Liu Ren:
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation. - (Withdrawn) Venn Diagram Multi-label Class Interpretation of Diabetic Foot Ulcer with Color and Sharpness Enhancement.
- Sadat Shahriar, Thamar Solorio:
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation. - Xinyu Li:
LooPy: A Research-Friendly Mix Framework for Music Information Retrieval on Electronic Dance Music. - Ibrahim Souleiman Mahamoud, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier:
CHIC: Corporate Document for Visual question Answering. - Kaia Newman, Madeline Endres, Brittany Johnson, Westley Weimer:
From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers. - Chandana Navuluri, Sandhya Jukanti, Raghupathi Reddy Allapuram:
semantic neural model approach for face recognition from sketch. - Dyk Chung Nguyen, Yuan-Hang Zhang, Massimiliano Di Ventra, Yuriy V. Pershin:
Hardware implementation of digital memcomputing on small-size FPGAs. - Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowé:
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making. - Axel Kerinec, Lionel Vaux Auclair:
The algebraic λ-calculus is a conservative extension of the ordinary λ-calculus. - Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng:
Personalized Federated Learning under Mixture of Distributions. - Karthekeyan Chandrasekaran, Weihang Wang:
Approximating submodular k-partition via principal partition sequence. - Amir Azarmehr, Soheil Behnezhad:
Robust Communication Complexity of Matching: EDCS Achieves 5/6 Approximation. - Michele C. Weigle, Michael L. Nelson, Sawood Alam, Mark Graham:
Right HTML, Wrong JSON: Challenges in Replaying Archived Webpages Built with Client-Side Rendering. - Tobia Marcucci, Parth Nobel, Russ Tedrake, Stephen P. Boyd:
Fast Path Planning Through Large Collections of Safe Boxes. - Kien Nguyen Thanh, Tharindu Fernando, Clinton Fookes, Sridha Sridharan:
Physical Adversarial Attacks for Surveillance: A Survey. - Hamid Osooli, Mohsen Irani Rahaghi, Seyed Reza Ahmadzadeh:
Design and Evaluation of a Bioinspired Tendon-Driven 3D-Printed Robotic Eye with Active Vision Capabilities. - Mélisande Teng, Amna Elmustafa, Benjamin Akera, Hugo Larochelle, David Rolnick:
Bird Distribution Modelling using Remote Sensing and Citizen Science data. - Mehdi Naima, Matthieu Latapy, Clémence Magnien:
Temporal Betweenness Centrality on Shortest Paths Variants. - Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King, François Guérin, Chirag Arora:
Contextual Multilingual Spellchecker for User Queries. - Alexander R. Block, Jeremiah Blocki:
Computationally Relaxed Locally Decodable Codes, Revisited. - Jaewoo Shin, Jianguo Wang, Walid G. Aref:
An Update-intensive LSM-based R-tree Index. - Md Aminul Islam:
AI & Blockchain as sustainable teaching and learning tools to cope with the 4IR. - Oliver Schulte:
Computing Expected Motif Counts for Exchangeable Graph Generative Models. - Kevin Zeng, Michael D. Graham:
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems. - Yatong Chen, Wei Tang, Chien-Ju Ho, Yang Liu:
Performative Prediction with Bandit Feedback: Learning through Reparameterization. - Rajmeet Singh, Saeed Mozaffari, Mahdi Rezaei, Shahpour Alirezaee:
LSTM-based Preceding Vehicle Behaviour Prediction during Aggressive Lane Change for ACC Application. - Armin Nejadhossein Qasemabadi, Saeed Mozaffari, Mahdi Rezaei, Majid Ahmadi, Shahpour Alirezaee:
A Novel Model for Driver Lane Change Prediction in Cooperative Adaptive Cruise Control Systems. - Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience. - Charlie Cowen-Breen, Creston Brooks, Johannes Haubold, Barbara Graziosi:
Logion: Machine Learning for Greek Philology. - Matthew Johnson, Barnaby Martin, Sukanya Pandey, Daniël Paulusma, Siani Smith, Erik Jan van Leeuwen:
Complexity Framework for Forbidden Subgraphs III: When Problems are Tractable on Subcubic Graphs. - Mahdi Khojastehnia, Ioannis Lambadaris, Ramy H. Gohary, Sergey Loyka:
Optimal Power Assignment for MIMO Channels Under Joint Total and Per-Group Power Constraints. - Mohsen Azarmi, Mahdi Rezaei, Tanveer Hussain, Chenghao Qian:
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction. - Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. - Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon:
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. - Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan:
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. - Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec:
Learning Controllable Adaptive Simulation for Multi-resolution Physics. - Benjamin J. Chasnov, Lillian J. Ratliff, Samuel A. Burden:
Human adaptation to adaptive machines converges to game-theoretic equilibria. - Rishu Verma, Ashmita Bhattacharya, Sai Naveen Katla:
Analysis of different temporal graph neural network configurations on dynamic graphs. - Zhe Wang, Jake Grigsby, Yanjun Qi:
PGrad: Learning Principal Gradients For Domain Generalization. - Kyle Harlow, Hyesu Jang, Timothy D. Barfoot, Ayoung Kim, Christoffer Heckman:
A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics. - Ning An:
Toward Learning Societies for Digital Aging. - Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha:
Stratified Adversarial Robustness with Rejection. - Minkai Xu, Alexander S. Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec:
Geometric Latent Diffusion Models for 3D Molecule Generation. - Reem Al-Saffar, Susan Gauch, Hiba Al-Kawaz:
Multidimensional Fairness in Paper Recommendation. - Kristen M. Edwards, Binyang Song, Jaron Porciello, Mark Engelbert, Carolyn Huang, Faez Ahmed:
ADVISE: AI-accelerated Design of Evidence Synthesis for Global Development. - Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay S. Chaudhari, John M. Pauly:
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. - Chen Li, Yang Cao, Ye Zhu, Debo Cheng, Chengyuan Li, Yasuhiko Morimoto:
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems. - Dohoon Kim, Minwoo Shin, Joonki Paik:
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling. - Alexander Cao, Jean Utke, Diego Klabjan:
Early Classifying Multimodal Sequences. - Emma Stensby Norstein, Kai Olav Ellefsen, Kyrre Glette:
Open-ended search for environments and adapted agents using MAP-Elites. - Md. Zarif Hossain, Ahmed Imteaj:
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer. - Nurendra Choudhary, Chandan K. Reddy:
Complex Logical Reasoning over Knowledge Graphs using Large Language Models. - Min-Kook Suh, Seung-Woo Seo:
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels. - Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette:
Evolution of linkages for prototyping of linkage based robots. - Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin:
Federated Neural Radiance Fields. - Asad Aali, Marius Arvinte, Sidharth Kumar, Jonathan I. Tamir:
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data. - Jonghyun Kim, Bosang Kim, Hyotae Lee, Jungpyo Kim, Wonhyeok Im, Lanying Jin, Dowoo Kwon, Jungho Lee:
Hybrid model for Single-Stage Multi-Person Pose Estimation. - Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Chong Zhang, Yukun Ma, Trung Hieu Nguyen, Chongjia Ni, Eng Siong Chng, Bin Ma:
Contrastive Speech Mixup for Low-resource Keyword Spotting. - Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani:
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach. - David Durfee:
Unbounded Differentially Private Quantile and Maximum Estimation. - Mukesh Gautam, Narayan Bhusal, Mohammed Benidris:
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement. - Chenyang Lyu, Jitao Xu, Longyue Wang:
New Trends in Machine Translation using Large Language Models: Case Examples with ChatGPT. - Yang Zhang, Le Cheng, Yuting Peng, Chengming Xu, Yanwei Fu, Bo Wu, Guodong Sun:
Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images. - Cecilia Ka Yuk Chan, Louisa H. Y. Tsi:
The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education? - Cecilia Ka Yuk Chan, Wenxin Zhou:
Deconstructing Student Perceptions of Generative AI (GenAI) through an Expectancy Value Theory (EVT)-based Instrument. - Arcel Christian H. Austria, John Simon Fabros, Kurt Russel G. Sumilang, Jocelyn Bernardino, Anabella C. Doctor:
Development of IoT Smart Greenhouse System for Hydroponic Gardens. - Yuelang Xu, Hongwen Zhang, Lizhen Wang, Xiaochen Zhao, Han Huang, Guojun Qi, Yebin Liu:
LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar. - Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su:
EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration. - Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge. - Jiangyi Lin, Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li:
Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark. - Nicolás A. Barnafi, Axel Osses:
Modeling of cardiac fibers as oriented liquid crystals. - Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi:
Exploration of Unranked Items in Safe Online Learning to Re-Rank. - Yifan Qiao, Yingrui Yang, Haixin Lin, Tao Yang:
Optimizing Guided Traversal for Fast Learned Sparse Retrieval. - Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Ziyan Luo, Xujie Si:
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning. - Darcy Camargo, Andreas Penzkofer, Sebastian Müller, William Sanders:
Mitigation of liveness attacks in DAG-based ledgers. - Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, Lingming Zhang:
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation. - Tobias Brugger, Matthias Stürmer, Joel Niklaus:
MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset. - Dongfang Xu, Chang Liu, Shenghui Song, Derrick Wing Kwan Ng:
Integrated Sensing and Communication in Coordinated Cellular Networks. - Marvin Geiselhart, Jannis Clausius, Stephan ten Brink:
Rate-Compatible Polar Codes for Automorphism Ensemble Decoding. - Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, Jie Fu:
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. - Pierre-Alain Fayolle, Markus Friedrich:
A Survey of Methods for Converting Unstructured Data to CSG Models. - Bing-Yang Lin, Daria Dziubaltowska, Piotr Macek, Andreas Penzkofer, Sebastian Müller:
TangleSim: An Agent-based, Modular Simulator for DAG-based Distributed Ledger Technologies. - Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. - Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu:
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario. - Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic:
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. - Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson:
Dynamic Scheduling for Federated Edge Learning with Streaming Data. - Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han:
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. - Hendric Voß, Stefan Kopp:
AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis. - Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo:
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. - Marie Fortin, Boris Konev, Vladislav Ryzhikov, Yury Savateev, Frank Wolter, Michael Zakharyaschev:
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies. - Kamil Jerábek, Libor Polcák:
Network Error Logging: HTTP Archive Analysis. - David Vosahlík, Tomás Hanis:
Traction Control Allocation Employing Vehicle Motion Feedback Controller for Four-wheel-independent-drive Vehicle. - Jia-Hao Syu, Jerry Chun-Wei Lin, Marcin Fojcik, Rafal Cupek:
HTPS: Heterogeneous Transferring Prediction System for Healthcare Datasets. - Xiachong Feng, Xiaocheng Feng, Bing Qin:
The Role of Summarization in Generative Agents: A Preliminary Perspective. - Markus Schön, Michael Buchholz, Klaus Dietmayer:
RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation. - Mehmet Saygin Seyfioglu, Karim Bouyarmane, Suren Kumar, Amir Tavanaei, Ismail B. Tutar:
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling. - Gian Marti, Christoph Studer:
Universal MIMO Jammer Mitigation via Secret Temporal Subspace Embeddings. - Hyun-Young Park, Seung-Hyun Nam, Si-Hyeon Lee:
Block Design-Based Local Differential Privacy Mechanisms. - Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Long Chen:
Sim2real and Digital Twins in Autonomous Driving: A Survey. - Anne, Mouret:
Multi-Task Multi-Behavior MAP-Elites. - Shiu Mochiyama, Takashi Hikihara:
Stochastic Power Processing through Logic Operation of Power Packets. - Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang:
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning. - Antony Thomas, Fulvio Mastrogiovanni, Marco Baglietto:
Revisiting the Minimum Constraint Removal Problem in Mobile Robotics. - Bastin Tony Roy Savarimuthu, Zoofishan Zareen, Jithin Cheriyan, Muhammad Yasir, Matthias Galster:
Barriers for Social Inclusion in Online Software Engineering Communities - A Study of Offensive Language Use in Gitter Projects. - Peng-Tao Jiang, Yuqi Yang:
Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation. - Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
Transfer Visual Prompt Generator across LLMs. - Fangjian Lin, Yizhe Ma, Shengwei Tian:
Exploring vision transformer layer choosing for semantic segmentation. - Fangjian Lin, Yizhe Ma, Sitong Wu, Long Yu, Shengwei Tian:
AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows. - Jan Felipe van Diejen, Erdal Emsiz:
Cubature rules from Hall-Littlewood polynomials. - Harsha Hutridurga, Krishan Kumar, Amiya Kumar Pani:
Discontinuous Galerkin Methods with Generalized Numerical Fluxes for the Vlasov-Viscous Burgers' System. - Alain Couvreur, Ilaria Zappatore:
An extension of Overbeck's attack with an application to cryptanalysis of Twisted Gabidulin-based schemes. - Jan Felipe van Diejen, Erdal Emsiz:
Cubature rules for unitary Jacobi ensembles. - Rajen Kumar, Prashant Kumar Srivastava, Sudhan Majhi:
A Direct Construction of Type-II Z Complementary Code Set with Arbitrarily Large Codes. - Manos Pavlidakis, Stelios Mavridis, Antony Chazapis, Giorgos Vasiliadis, Angelos Bilas:
Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators. - Raghavendra Ramachandra, Sushma Venkatesh, Guoqiang Li, Kiran B. Raja:
Differential Newborn Face Morphing Attack Detection using Wavelet Scatter Network. - Alban Puech, Jesse Read:
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning. - Noé Pérez-Higueras, Roberto Otero, Fernando Caballero, Luis Merino:
HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation. - Yann Disser, Max Klimm, Kevin Schewior, David Weckbecker:
Incremental Maximization via Continuization. - Tobias Dam, Lukas Daniel Klausner, Sebastian Neumaier:
Towards a Critical Open-Source Software Database. - Matthias Bentert, Pål Grønås Drange, Fedor V. Fomin, Petr A. Golovach, Tuukka Korhonen:
Two-sets cut-uncut on planar graphs. - Arif Ali Khan, Javed Ali Khan, Muhammad Azeem Akbar, Peng Zhou, Mahdi Fahmideh:
Insights into Software Development Approaches: Mining Q&A Repositories. - Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao:
Long-Term Rhythmic Video Soundtracker. - Heinrich Kraus, Jörg Kuhnert, Pratik Suchde:
Higher-Order GFDM for Linear Elliptic Operators. - Jaeyoon Kim, Junyu Xuan, Christy Jie Liang, Farookh Khadeer Hussain:
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework. - Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari:
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs. - Yi-Jun Chang, Zeyong Li:
The Complexity of Distributed Approximation of Packing and Covering Integer Linear Programs. - Elisa Tonello, Loïc Paulevé:
Attractor identification in asynchronous Boolean dynamics with network reduction. - Schaun Wheeler:
Validation of massively-parallel adaptive testing using dynamic control matching. - Fatih Sezgin, Daniel Vriesman, Dagmar Steinhauser, Robert Lugner, Thomas Brandmeier:
Safe Autonomous Driving in Adverse Weather: Sensor Evaluation and Performance Monitoring. - Sebastián García, Veronica Valeros:
Towards a better labeling process for network security datasets. - Sarvin Moradi, Nick Jaensson, Roland Tóth, Maarten Schoukens:
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models. - Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Guaranteeing Envy-Freeness under Generalized Assignment Constraints. - Jan Giesselmann, Aleksey Sikstel:
A-posteriori error estimates for systems of hyperbolic conservation laws. - Yingyang Chen, Yuncong Li, Miaowen Wen, Duoying Zhang, Bingli Jiao, Zhiguo Ding, Theodoros A. Tsiftsis, H. Vincent Poor:
Next-Generation Full Duplex Networking System Empowered by Reconfigurable Intelligent Surfaces. - Veronica Valeros, Maria Rigaki, Sebastián García:
Attacker Profiling Through Analysis of Attack Patterns in Geographically Distributed Honeypots. - Yaoyao Chen, Yunqing Huang, Nianyu Yi, Peimeng Yin:
Recovery type a posteriori error estimation of an adaptive finite element method for Cahn-Hilliard equation. - Geoffroy Caillat-Grenier, Andrei E. Romashchenko:
Spectral approach to the communication complexity of multi-party key agreement. - Sándor Kisfaludi-Bak, Geert van Wordragen:
A Quadtree for Hyperbolic Space. - Omer Cohen Sidon, Dana Ron:
Sample-based distance-approximation for subsequence-freeness. - Rina Kagawa, Masaki Matsubara, Rei Miyata, Takuya Matsuzaki, Yukino Baba, Yoko Yamakata:
An experimental framework for designing document structure for users' decision making - An empirical study of recipes. - Juanjuan Weng, Zhiming Luo, Dazhen Lin, Shaozi Li, Zhun Zhong:
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature. - Irén A. Kopcsóné Németh, Csaba Nádor, László Szilágyi, Ákos Lehotsky, Tamás Haidegger:
Establishing a Learning Model for Correct Hand Hygiene Technique in a NICU. - Yossi Azar, Danny Vainstein:
Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. - Juho Vepsäläinen:
ECMAScript - The journey of a programming language from an idea to a standard. - Ville Salo, Ilkka Törmä:
Diddy: a Python toolbox for infinite discrete dynamical systems. - Alexander Hicks:
SoK: Log Based Transparency Enhancing Technologies. - Daqian Shao, Marta Kwiatkowska:
Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees. - Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Huu-Tien Dang, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui:
Class based Influence Functions for Error Detection. - Abhishek Ramanathapura Satyanarayana, Maruf A. Dhali:
Oil Spill Segmentation using Deep Encoder-Decoder models. - Yifan Shi, Kang Wei, Li Shen, Jun Li, Xueqian Wang, Bo Yuan, Song Guo:
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing. - Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo:
On Strong Secrecy for Multiple Access Channel with States and Causal CSI. - Eike Petersen, Enzo Ferrante, Melanie Ganz, Aasa Feragen:
Are demographically invariant models and representations in medical imaging fair? - Árpád Takács, Tamás Haidegger:
Infrastructural Requirements and Regulatory Challenges of a Sustainable Urban Air Mobility Ecosystem. - Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi:
Get Back Here: Robust Imitation by Return-to-Distribution Planning. - Michael C. Horowitz, Lauren Kahn, Julia Macdonald, Jacquelyn Schneider:
Adopting AI: How Familiarity Breeds Both Trust and Contempt. - Hisayoshi Muramatsu, Keigo Kitagawa, Jun Watanabe, Ryohei Hisashiki:
A Mobile Quad-Arm Robot ARMS: Wheel-Legged Tripedal Mobility and Quad-Arm Manipulation. - Markus Horn, Thomas Wodtko, Michael Buchholz, Klaus Dietmayer:
Extrinsic Infrastructure Calibration Using the Hand-Eye Robot-World Formulation. - Mauro Bisiacco, Gianluigi Pillonetto:
Absolute integrability of Mercer kernels is only sufficient for RKHS stability. - Vojtech Neuman, Miloslav Capek, Lukás Jelínek, Anu Lehtovuori, Ville Viikari:
Trade-off Between Optimal Efficiency and Envelope Correlation Coefficient for Antenna Clusters. - Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen:
Learning Robust Data-based LQG Controllers from Noisy Data. - Marcin Bienkowski, Stefan Schmid:
A Subquadratic Bound for Online Bisection. - Josep Marti-Saumell, Joan Solà, Angel Santamaria-Navarro, Hugo Duarte:
Borinot: an agile torque-controlled robot for hybrid flying and contact loco-manipulation (workshop version). - Simon Kolker, Louise A. Dennis, Ramon Fraga Pereira, Mengwei Xu:
Uncertain Machine Ethical Decisions Using Hypothetical Retrospection. - Mathieu Lehaut, Nir Piterman:
Measuring the Gain of Reconfigurable Communication. 88-102 - Rashmi Margani, Nelson Ndugu:
From Local to Global: Navigating Linguistic Diversity in the African Context. - David Guijo-Rubio, Matthew Middlehurst, Guilherme Arcencio, Diego Furtado Silva, Anthony J. Bagnall:
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression. - Gilles Dowek:
The physical Church-Turing thesis and non deterministic computation over the real numbers. - Vyas Raina, Mark J. F. Gales:
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems. - Gilles Dowek:
On the convergence of reduction-based and model-based methods in proof theory. - Gilles Dowek, Ying Jiang:
Enumerating proofs of positive formulae. - Praveen Kumar, Sudhan Majhi, Subhabrata Paul:
A Direct Construction of Optimal Symmetrical Z-Complementary Code Sets of Prime Power Lengths. - Haibin He, Jing Zhang, Mengyang Xu, Juhua Liu, Bo Du, Dacheng Tao:
Scalable Mask Annotation for Video Text Spotting. - Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Y. Halevy, Fabrizio Silvestri:
Multimodal Neural Databases. - Shangtong Cao, Ningyu He, Yao Guo, Haoyu Wang:
A General Static Binary Rewriting Framework for WebAssembly. - Bhanu Angam, Alessandro Beretta, Eli De Poorter, Matthieu Duvinage, Daniel Peralta:
Forecast reconciliation for vaccine supply chain optimization. - Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega:
Memory of recurrent networks: Do we compute it right? - Ke Qiu, Jingyu Zhang, Danying Sun, Rong Xiong, Haojian Lu, Yue Wang:
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots. - Nicolas Charpenay, Maël Le Treust, Aline Roumy:
Complementary Graph Entropy, AND Product, and Disjoint Union of Graphs. - Jinming Xu, Yuan Lin:
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Vehicle Energy Management. - Hiroaki Nishikawa, Jeffery A. White:
An Efficient Quadratic Interpolation Scheme for a Third-Order Cell-Centered Finite-Volume Method on Tetrahedral Grids. - Nattawut Phetmak, Jittat Fakcharoenphol:
Folding Every Point on a Polygon Boundary to a Point. - Jittat Fakcharoenphol, Chayutpong Prompak:
Stochastic Contextual Bandits with Graph-based Contexts. - Rajni Dabas, Neelima Gupta, Tanmay Inamdar:
FPT Approximations for Capacitated/Fair Clustering with Outliers. - Thom S. Badings, Sebastian Junges, Ahmadreza Marandi, Ufuk Topcu, Nils Jansen:
Efficient Sensitivity Analysis for Parametric Robust Markov Chains. - Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler:
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. - Ke Wan, Alain L. Kornhauser:
On the properties of Gaussian Copula Mixture Models. - Ailin Deng, Miao Xiong, Bryan Hooi:
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement. - Etienne Labbé, Julien Pinquier, Thomas Pellegrini:
Multitask learning in Audio Captioning: a sentence embedding regression loss acts as a regularizer. - Zijian Zhao, Shan Deng, Swetaki Chatterjee, Zhouhang Jiang, Muhammad Shaffatul Islam, Yi Xiao, Yixin Xu, Scott Meninger, Mohamed Mohamed, Rajiv V. Joshi, Yogesh Singh Chauhan, Halid Mulaosmanovic, Stefan Dünkel, Dominik Kleimaier, Sven Beyer, Hussam Amrouch, Vijaykrishnan Narayanan, Kai Ni:
Powering Disturb-Free Reconfigurable Computing and Tunable Analog Electronics with Dual-Port Ferroelectric FET. - Azmine Toushik Wasi, Karlo Serbetar, Raima Islam, Taki Hasan Rafi, Dong-Kyu Chae:
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning. - Wei-Chang Yeh:
Building Reliable Budget-Based Binary-State Networks. - Eleonora Zedda, Marco Manca, Fabio Paternò, Carmen Santoro:
An Adaptive Behaviour-Based Strategy for SARs interacting with Older Adults with MCI during a Serious Game Scenario. - Christos P. Lamprakos, Sotirios Xydis, Francky Catthoor, Dimitrios Soudris:
The Unexpected Efficiency of Bin Packing Algorithms for Dynamic Storage Allocation in the Wild: An Intellectual Abstract. - Miao Li, Eduard H. Hovy, Jey Han Lau:
Towards Summarizing Multiple Documents with Hierarchical Relationships. - Sedrick Scott Keh, Zheyuan Ryan Shi, David J. Patterson, Nirmal Bhagabati, Karun Dewan, Areendran Gopala, Pablo Izquierdo, Debojyoti Mallick, Ambika Sharma, Pooja Shrestha, Fei Fang:
NewsPanda: Media Monitoring for Timely Conservation Action. - Guijin Son, Hanearl Jung, Moonjeong Hahm, Keonju Na, Sol Jin:
Beyond Classification: Financial Reasoning in State-of-the-Art Language Models. - Kyung Ho Park, Hyunhee Chung:
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform. - Naoki Masuyama, Takanori Takebayashi, Yusuke Nojima, Chu Kiong Loo, Hisao Ishibuchi, Stefan Wermter:
A Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning. - Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr:
Report from Dagstuhl Seminar 23031: Frontiers of Information Access Experimentation for Research and Education. - Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè:
Learning-based Framework for US Signals Super-resolution. - Alessandro Borghi, Tobias Breiten:
H2 optimal model reduction on general domains. - Viktoria Chekalina, Alexander Panchenko:
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. - Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He:
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. - Hiwot Tadese Kassa, Paul Johnson, Jason Akers, Mrinmoy Ghosh, Andrew Tulloch, Dheevatsa Mudigere, Jongsoo Park, Xing Liu, Ronald G. Dreslinski, Ehsan K. Ardestani:
MTrainS: Improving DLRM training efficiency using heterogeneous memories. - Konstantinos Kanellis, Badrish Chandramouli, Shivaram Venkataraman:
F2: Designing a Key-Value Store for Large Skewed Workloads. - Ziyang Zhang, Huan Li, Yang Zhao, Changyao Lin, Jie Liu:
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms. - Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot:
Unlocking the Power of Representations in Long-term Novelty-based Exploration. - Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. - Yizhen Luo, Kui Huang, Massimo Hong, Kai Yang, Jiahuan Zhang, Yushuai Wu, Zaiqing Nie:
Empowering AI drug discovery with explicit and implicit knowledge. - Guangshen Ma, Ravi Prakash, Brian Mann, Weston A. Ross, Patrick J. Codd:
3D Laser-and-tissue Agnostic Data-driven Method for Robotic Laser Surgical Planning. - Jianquan Li, Xidong Wang, Xiangbo Wu, Zhiyi Zhang, Xiaolong Xu, Jie Fu, Prayag Tiwari, Xiang Wan, Benyou Wang:
Huatuo-26M, a Large-scale Chinese Medical QA Dataset. - Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch:
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. - Bin Li, Wancheng Xie, Yinghui Ye, Lei Liu, Zesong Fei:
FlexEdge: Digital Twin-Enabled Task Offloading for UAV-Aided Vehicular Edge Computing. - Jordan R. Keuseman, Chad M. Smutzer, Clifton R. Haider, Barry K. Gilbert:
Capacitor Optimization in Power Distribution Networks Using Numerical Computation Techniques. - Delin Hu, Zhou Chen, Paul Baisamy, Zhe Liu, Francesco Giorgio Serchi, Yunjie Yang:
Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning. - Ahmet Rasim Emirdagi, M. Serkan Kopuzlu, M. Okan Araz, Murat Kuscu:
Affinity-Division Multiplexing for Molecular Communications with Promiscuous Ligand Receptors. - Kazuki Irie, Jürgen Schmidhuber:
Accelerating Neural Self-Improvement via Bootstrapping. - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks. - Aly M. Kassem:
Mitigating Approximate Memorization in Language Models via Dissimilarity Learned Policy. - Xin Xu, Yuqi Zhu, Xiaohan Wang, Ningyu Zhang:
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? - Zhishuo Zhang, Chengxiang Tan, Haihang Wang, Xueyan Zhao, Min Yang:
Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment. - Samar Elaraby, Sherif M. Abuelenin:
Connectivity Analysis of Directed Highway VANETs using Graph Theory. - Zhishuo Zhang, Chengxiang Tan, Xueyan Zhao, Min Yang, Chaoqun Jiang:
OTIEA: Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment. - Hanna Bogucka, Bartosz Kopras:
Uberization of telecom networks for cost-efficient communication and computing. - Emmanuel Witrant, Ioan Doré Landau, Marie-Pierre Vaillant:
Teaching data-driven control: from linear design to adaptive control with throttle valves. - Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy:
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. - Guoxiu He, Zhikai Xue, Zhuoren Jiang, Yangyang Kang, Star Zhao, Wei Lu:
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction. - Jialuo Du, Yidong Ren, Mi Zhang, Yunhao Liu, Zhichao Cao:
NELoRa-Bench: A Benchmark for Neural-enhanced LoRa Demodulation. - Arsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha Latremouille, Charles C. Onu:
Self-supervised learning for infant cry analysis. - Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang:
Discern and Answer: Mitigating the Impact of Misinformation in Retrieval-Augmented Models with Discriminators. - Marvin Künnemann, Filip Mazowiecki, Lia Schütze, Henry Sinclair-Banks, Karol Wegrzycki:
Coverability in VASS Revisited: Improving Rackoff's Bound to Obtain Conditional Optimality. - Weixuan Sun, Zheyuan Liu, Yanhao Zhang, Yiran Zhong, Nick Barnes:
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems. - Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich:
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees. - Karl Bringmann, Alejandro Cassis:
Faster 0-1-Knapsack via Near-Convex Min-Plus-Convolution. - Aki Barry, Lei Han, Gianluca Demartini:
On the Impact of Data Quality on Image Classification Fairness. - Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, K. Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari:
From Words to Code: Harnessing Data for Program Synthesis from Natural Language. - Xinyu Yi, Yuxiao Zhou, Marc Habermann, Vladislav Golyanik, Shaohua Pan, Christian Theobalt, Feng Xu:
EgoLocate: Real-time Motion Capture, Localization, and Mapping with Sparse Body-mounted Sensors. - Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari:
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. - Mingyang Gong, Zhi-Zhong Chen, Guohui Lin:
Randomized algorithms for fully online multiprocessor scheduling with testing.