| 2023 | Improving Text Semantic Similarity Modeling Through a 3D Siamese Network. | Jianxiang Zang, Hui Liu |
| 2023 | Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation. | Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li |
| 2023 | Boosting Visual Question Answering Through Geometric Perception and Region Features. | Hong Yu, Zhiyue Wang, Yuanqiu Liu, Han Liu |
| 2023 | Fair Deep Reinforcement Learning with Preferential Treatment. | Guanbao Yu, Umer Siddique, Paul Weng |
| 2023 | Invisible Backdoor Attacks Using Data Poisoning in Frequency Domain. | Chang Yue, Peizhuo Lv, Ruigang Liang, Kai Chen |
| 2023 | Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. | Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li |
| 2023 | CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis. | Julio Christian Young, Uchenna Akujuobi |
| 2023 | Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. | Hong Yin, Jiang Zhong, Qizhu Dai |
| 2023 | Enhanced Machine Reading Comprehension Method for Aspect Sentiment Quadruplet Extraction. | Shuqin Ye, Zepeng Zhai, Ruifan Li |
| 2023 | Towards Abstractive Timeline Summarisation Using Preference-Based Reinforcement Learning. | Yuxuan Ye, Edwin Simpson |
| 2023 | Reinforcement Learning by Guided Safe Exploration. | Qisong Yang, Thiago D. Simo, Nils Jansen, Simon H. Tindemans, Matthijs T. J. Spaan |
| 2023 | Instance-Wise Adaptive Tuning and Caching for Vision-Language Models. | Chunjin Yang, Fanman Meng, Shuai Chen, Mingyu Liu, Runtong Zhang |
| 2023 | Data-Free Class-Incremental Learning with Implicit Representation of Prototypes. | Tianwen Yang, Leixiong Huang, Ronghua Luo |
| 2023 | Model-Based Offline Policy Optimization with Adversarial Network. | Junming Yang, Xingguo Chen, Shengyuan Wang, Bolei Zhang |
| 2023 | Enhancing Link Prediction with Self-Discriminating Augmentation for Structure-Aware Contrastive Learning. | Hao-Wei Yang, Ming-Yi Chang, Chih-Ya Shen |
| 2023 | Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties. | Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann |
| 2023 | A Declarative Approach to Compact Controllers for FOND Planning via Answer Set Programming. | Nitin Yadav, Sebastian Sardia |
| 2023 | Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. | Baogui Xu, Chengjin Xu, Zhiwu Lu, Bing Su |
| 2023 | Fingerprint Attack: Client De-Anonymization in Federated Learning. | Qiongkai Xu, Trevor Cohn, Olga Ohrimenko |
| 2023 | Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. | Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu |
| 2023 | IPERS: Individual Prioritized Experience Replay with Subgoals for Sparse Reward Multi-Agent Reinforcement Learning. | Zaipeng Xie, Yufeng Zhang, Chentai Qiao, Sitong Shen |
| 2023 | Identifying Helpful Learnwares Without Examining the Whole Market. | Yi Xie, Zhi-Hao Tan, Yuan Jiang, Zhi-Hua Zhou |
| 2023 | Domain Knowledge Injection in Bayesian Search for New Materials. | Zikai Xie, Xenophon Evangelopoulos, Joseph C. R. Thacker, Andrew I. Cooper |
| 2023 | Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. | Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu |
| 2023 | Characterizations of Network Auctions and Generalizations of VCG. | Mingyu Xiao, Guixin Lin, Bakh Khoussainov, Yuchao Song |