| 2024 | An Axiomatic Perspective on Anomaly Detection. | Chester Wyke, Ruth Urner |
| 2024 | High-Dimensional Causal Bayesian Optimization. | Yupeng Wu, Weiye Wang, Yangwenhui Zhang, Mingjia Li, Yuanhao Liu, Hong Qian, Aimin Zhou |
| 2024 | Class-Aware Sample Weight Learning for Cross-Modal Unsupervised Domain Adaptation in Cross-User Wearable Human Activity Recognition. | Tong Wu, Yanbin Liu, Sira Yongchareon |
| 2024 | Diversity-Enhanced Learning for Unsupervised Syntactically Controlled Paraphrase Generation. | Shaojuan Wu, Jitong Li, Yue Sun, Xiaowang Zhang, Zhiyong Feng |
| 2024 | Learning After Learning: Positive Backward Transfer in Continual Learning. | Wernsen Wong, Yun Sing Koh, Gillian Dobbie |
| 2024 | Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning. | Stephen Wissow, Masataro Asai |
| 2024 | Scale-Invariant Variations of Max Regret. | Nic Wilson |
| 2024 | Principled Explanations for Robust Redistributive Decisions. | Hnok Willot, Khaled Belahcne, Sbastien Destercke |
| 2024 | Fact Probability Vector Based Goal Recognition. | Nils Wilken, Lea Cohausz, Christian Bartelt, Heiner Stuckenschmidt |
| 2024 | Resistance Against Manipulative AI: Key Factors and Possible Actions. | Piotr Wilczynski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek |
| 2024 | iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations. | Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martnez, Beln Daz-Agudo, Derek G. Bridge, Anne Liret |
| 2024 | Probabilistically Plausible Counterfactual Explanations with Normalizing Flows. | Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej Zieba |
| 2024 | Adversarially Robust Neural Lyapunov Control. | Li Wei, Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong |
| 2024 | DataDetective: Dataset Watermarking for Leaker Identification in ML Training. | Noa Wegerhoff, Avishag Shapira, Yuval Elovici, Asaf Shabtai |
| 2024 | Learning Uncertainty Tubes via Recurrent Neural Networks for Planning Robust Robot Motions. | Simon Wasiela, Smail Ait Bouhsain, Marco Cognetti, Juan Corts, Thierry Simon |
| 2024 | Domain Feature Perturbation for Domain Generalization. | Chenguang Wang, Zijun Zhang, Zhidan Zhou |
| 2024 | SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM. | Quandong Wang, Yuxuan Yuan, Xiaoyu Yang, Ruike Zhang, Kang Zhao, Wei Liu, Jian Luan, Daniel Povey, Bin Wang |
| 2024 | Individual Fairness with Group Constraints in Graph Neural Networks. | Zichong Wang, David Ulloa, Tongjia Yu, Raju Rangaswami, Roland H. C. Yap, Wenbin Zhang |
| 2024 | LGAD: Local and Global Attention Distillation for Efficient Semantic Segmentation. | Chen Wang, Yafei Qi, Qi Li, Huawen Liu |
| 2024 | TrustMIS: Trust-Enhanced Inference Framework for Medical Image Segmentation. | Fuyi Wang, Jinzhi Ouyang, Lei Pan, Leo Yu Zhang, Xiaoning Liu, Yanping Wang, Robin Doss |
| 2024 | StyleMamba: State Space Model for Efficient Text-Driven Image Style Transfer. | Zijia Wang, Zhi-Song Liu |
| 2024 | Lightweight Transformer for sEMG Gesture Recognition with Feature Distilled Variational Information Bottleneck. | Zefeng Wang, Bingbing Hu, Junfeng Yao, Jinsong Su |
| 2024 | TDCL: Dense Semantic Contrastive Learning for Vision-Language Tracking. | Zheng Wang, Xiankang He, Kaiyang Lan, Ying Cui, Dongyan Guo |
| 2024 | DeCoRTAD: Diffusion Based Conditional Representation Learning for Online Trajectory Anomaly Detection. | Chen Wang, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie |
| 2024 | Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. | Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao |