| 2023 | Capsule Network with Label Dependency Modeling for Multi-Label Emotion Classification. | Yu-Ping Ruan, Taihao Li |
| 2023 | Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. | Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao |
| 2023 | GENEMASK: Fast Pretraining of Gene Sequences to Enable Few-Shot Learning. | Soumyadeep Roy, Jonas Wallat, Sowmya S. Sundaram, Wolfgang Nejdl, Niloy Ganguly |
| 2023 | Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. | David Rother, Thomas H. Weisswange, Jan Peters |
| 2023 | How Should I Compute My Candidates? A Taxonomy and Classification of Diagnosis Computation Algorithms. | Patrick Rodler |
| 2023 | SUDS: Sanitizing Universal and Dependent Steganography. | Preston K. Robinette, Hanchen D. Wang, Nishan Shehadeh, Daniel Moyer, Taylor T. Johnson |
| 2023 | Seq2Space: A Lightweight Solution for Sequence Modelling. | Joel Rixen, Matthias Renz |
| 2023 | Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning. | Simon Rittel, Sebastian Tschiatschek |
| 2023 | Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. | Joo G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo |
| 2023 | Instance-Aware Diffusion Implicit Process for Box-Based Instance Segmentation. | Hao Ren, Xingsong Liu, Junjian Huang, Ru Wan, Jian Pu, Hong Lu |
| 2023 | Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students. | Michael Reiche, Jochen L. Leidner |
| 2023 | Fair Latent Deep Generative Models (FLDGMs) for Syntax-Agnostic and Fair Synthetic Data Generation. | Resmi RamachandranPillai, Md. Fahim Sikder, Fredrik Heintz |
| 2023 | The Blame Problem in Evaluating Local Explanations and How to Tackle It. | Amir Hossein Akhavan Rahnama |
| 2023 | An Easy Rejection Sampling Baseline via Gradient Refined Proposals. | Edward Raff, Mark McLean, James Holt |
| 2023 | Does Starting Deep Learning Homework Earlier Improve Grades? | Edward Raff, Cynthia Matuszek |
| 2023 | The Problem of Coherence in Natural Language Explanations of Recommendations. | Jakub Raczynski, Mateusz Lango, Jerzy Stefanowski |
| 2023 | Exploring Information Bottleneck for Weakly Supervised Semantic Segmentation. | Jie Qin, Yueming Lyu, Xingang Wang |
| 2023 | Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution. | Ming Qin, Keyan Ding, Bin Wu, Zhenping Li, Haihong Yang, Zeyuan Wang, Hongbin Ye, Haoran Yu, Huajun Chen, Qiang Zhang |
| 2023 | Generating Replanning Goals Through Multi-Objective Optimization in Response to Execution Observation. | Alberto Pozanco, Daniel Borrajo, Manuela Veloso |
| 2023 | Overlay Neural Networks for Heterophilous Graphs. | Giuseppe Pirr |
| 2023 | Ada-QPacknet - Multi-Task Forget-Free Continual Learning with Quantization Driven Adaptive Pruning. | Marcin Pietron, Dominik Zurek, Kamil Faber, Roberto Corizzo |
| 2023 | Towards a Sustainable Future: The Use of Electrical Energy in Smart Cities. | Michal Petri, Iwona Chomiak |
| 2023 | Scaling-Up LAO* in FOND Planning: An Ablation Study. | Ramon Fraga Pereira |
| 2023 | Stock Movement Prediction via Attention-Aware Multi-Order Relation Graph Neural Network. | Hao Peng, Jie Yang |
| 2023 | AlegAATr the Bandit. | Ethan Pedersen, Jacob W. Crandall |