| 2023 | EFx Budget-Feasible Allocations with High Nash Welfare. | Marius Garbea, Vasilis Gkatzelis, Xizhi Tan |
| 2023 | Iterative Reward Shaping Using Human Feedback for Correcting Reward Misspecification. | Jasmina Gajcin, James McCarthy, Rahul Nair, Radu Marinescu, Elizabeth Daly, Ivana Dusparic |
| 2023 | OER: Offline Experience Replay for Continual Offline Reinforcement Learning. | Sibo Gai, Donglin Wang, Li He |
| 2023 | Strategy Repair in Reachability Games. | Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli |
| 2023 | Double Logistic Regression Approach to Biased Positive-Unlabeled Data. | Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre |
| 2023 | Revision Transformers: Instructing Language Models to Change Their Values. | Felix Friedrich, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2023 | Generalizing Similarity in Noisy Setups: The DIBS Phenomenon. | Nayara Fonseca, Veronica Guidetti |
| 2023 | Creating Explainable Dynamic Checklists via Machine Learning to Ensure Decent Working Environment for All: A Field Study with Labour Inspections. | Eirik Lund Flogard, Ole Jakob Mengshoel, Ole Magnus Theisen, Kerstin Bach |
| 2023 | Using Weighted Matching to Solve 2-Approval/Veto Control and Bribery. | Zack Fitzsimmons, Edith Hemaspaandra |
| 2023 | SENA: Similarity-Based Error-Checking of Neural Activations. | Raul Sena Ferreira, Joris Gurin, Jrmie Guiochet, Hlne Waeselynck |
| 2023 | On Solution Discovery via Reconfiguration. | Michael R. Fellows, Mario Grobler, Nicole Megow, Amer E. Mouawad, Vijayaragunathan Ramamoorthi, Frances A. Rosamond, Daniel Schmand, Sebastian Siebertz |
| 2023 | Structured Sparse Multi-Task Learning with Generalized Group Lasso. | Luhuan Fei, Lu Sun, Mineichi Kudo, Keigo Kimura |
| 2023 | Incomplete Bipolar Argumentation Frameworks. | Bettina Fazzinga, Sergio Flesca, Filippo Furfaro |
| 2023 | A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting. | Chenyou Fan, Hengyang Lu, Aimin Huang |
| 2023 | Multi-Unit Auction over a Social Network. | Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao |
| 2023 | Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. | Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song |
| 2023 | On the Robustness of Split Learning Against Adversarial Attacks. | Mingyuan Fan, Cen Chen, Chengyu Wang, Wenmeng Zhou, Jun Huang |
| 2023 | Towards a Rigorous Calibration Assessment Framework: Advancements in Metrics, Methods, and Use. | Lorenzo Famiglini, Andrea Campagner, Federico Cabitza |
| 2023 | Algorithmic Recognition of 2-Euclidean Preferences. | Bruno Escoffier, Olivier Spanjaard, Magdalna Tydrichov |
| 2023 | Settling the Score: Portioning with Cardinal Preferences. | Edith Elkind, Warut Suksompong, Nicholas Teh |
| 2023 | Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. | Jonas Ehrhardt, Ren Heesch, Oliver Niggemann |
| 2023 | Exploiting Epistemic Uncertainty at Inference Time for Early-Exit Power Saving. | Jack Dymond, Sebastian Stein, Steve R. Gunn |
| 2023 | Learning in Teams: Peer Evaluation for Fair Assessment of Individual Contributions. | Fedor Duzhin |
| 2023 | Heteroscedastic Causal Structure Learning. | Bao Duong, Thin Nguyen |
| 2023 | Temporal Saliency Detection Towards Explainable Transformer-Based Timeseries Forecasting. | Nghia Duong-Trung, Duc-Manh Nguyen, Danh Le Phuoc |