| 2023 | Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations. | Qingfa Xiao, Shuangyin Li, Lei Chen |
| 2023 | Visualization Enhancement of Saliency Methods Based on the Sliding Window Mechanism. | Xiaohong Xiang, Fuyuan Zhang, Xin Deng, Xiaoyu Ding |
| 2023 | DPBERT: Efficient Inference for BERT Based on Dynamic Planning. | Weixin Wu, Hankz Hankui Zhuo |
| 2023 | Adaptive Self-Supervised Continual Learning. | Lilei Wu, Zhen Wang, Jie Liu |
| 2023 | Trust in Artificial Intelligence: Exploring the Influence of Model Presentation and Model Interaction on Trust in a Medical Setting. | Tina Wnn, Danielle Sent, Linda W. P. Peute, Stefan Leijnen |
| 2023 | Contrastive Learning with Diverse Samples. | Lilei Wu, Jie Liu |
| 2023 | GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing. | Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs |
| 2023 | Deep Ensemble Robustness by Adaptive Sampling in Dropout-Based Simultaneous Training. | Quanwei Wu, Bo Huang, Yi Wang, Zhiwei Ke, Da Luo |
| 2023 | Online Privacy Preservation for Camera-Incremental Person Re-Identification. | Sheng Wu, Wenhang Ge, Jiong Wu, Jingke Meng, Huang Zhang |
| 2023 | Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Thomas Seidl |
| 2023 | Enforcing Natural Properties of Choice Functions, with Application for Combination. | Nic Wilson |
| 2023 | On the Variation of Max Regret with Respect to the Scaling of the Objectives. | Nic Wilson |
| 2023 | TreeFlow: Going Beyond Tree-Based Parametric Probabilistic Regression. | Patryk Wielopolski, Maciej Zieba |
| 2023 | A Landmark-Cut Heuristic for Lifted Optimal Planning. | Julia Wichlacz, Daniel Hller, Daniel Fiser, Jrg Hoffmann |
| 2023 | Normalized Stochastic Heavy Ball with Adaptive Momentum. | Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li |
| 2023 | Enhancing Text Generation with Cooperative Training. | Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang |
| 2023 | BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. | Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen |
| 2023 | MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient. | Sen Wang, Jin Zheng |
| 2023 | Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. | Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang |
| 2023 | VMBRL3: A Simple Visual Model-Based Reinforcement Learning Framework for Continuous Control. | Jian Wang, Haitao Wang, Hejun Wu |
| 2023 | Improving Visual Reinforcement Learning with Discrete Information Bottleneck Approach. | Haitao Wang, Hejun Wu |
| 2023 | LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations. | Kunyu Wang, Juluan Shi, Wenxuan Wang |
| 2023 | CCPO: Conservatively Constrained Policy Optimization Using State Augmentation. | Zepeng Wang, Xiaochuan Shi, Chao Ma, Libing Wu, Jia Wu |
| 2023 | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. | Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann |