| 2023 | More for Less: Safe Policy Improvement with Stronger Performance Guarantees. | Patrick Wienhft, Marnix Suilen, Thiago D. Simo, Clemens Dubslaff, Christel Baier, Nils Jansen |
| 2023 | Transformers in Time Series: A Survey. | Qingsong Wen, Tian Zhou, Chaoli Zhang, Weiqi Chen, Ziqing Ma, Junchi Yan, Liang Sun |
| 2023 | Generalization Bounds for Adversarial Metric Learning. | Wen Wen, Han Li, Hong Chen, Rui Wu, Lingjuan Wu, Liangxuan Zhu |
| 2023 | Learn and Sample Together: Collaborative Generation for Graphic Design Layout. | Haohan Weng, Danqing Huang, Tong Zhang, Chin-Yew Lin |
| 2023 | JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. | Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang |
| 2023 | Accurate MRI Reconstruction via Multi-Domain Recurrent Networks. | Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu, Ji Liu, Xun Chen |
| 2023 | HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE. | Zikai Wei, Anyi Rao, Bo Dai, Dahua Lin |
| 2023 | Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents. | Tianze Wei, Bo Li, Minming Li |
| 2023 | c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization. | Shuhei Watanabe, Frank Hutter |
| 2023 | PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. | Shuhei Watanabe, Archit Bansal, Frank Hutter |
| 2023 | Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. | Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter |
| 2023 | DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards. | Shanchuan Wan, Yujin Tang, Yingtao Tian, Tomoyuki Kaneko |
| 2023 | Contrastive Label Enhancement. | Yifei Wang, Yiyang Zhou, Jihua Zhu, Xinyuan Liu, Wenbiao Yan, Zhiqiang Tian |
| 2023 | A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap. | Zhengren Wang, Yi Zhou, Chunyu Luo, Mingyu Xiao |
| 2023 | From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. | Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang |
| 2023 | Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach. | Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu, Junchi Yan |
| 2023 | Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. | Henan Wang, Muli Yang, Kun Wei, Cheng Deng |
| 2023 | Deep Partial Multi-Label Learning with Graph Disambiguation. | Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen |
| 2023 | Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. | Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu |
| 2023 | Detecting Adversarial Faces Using Only Real Face Self-Perturbations. | Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin, Ping Li, Jiazhong Chen, Ning Yu |
| 2023 | Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification. | Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li, Xin Yang |
| 2023 | Learning 3D Photography Videos via Self-supervised Diffusion on Single Images. | Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan |
| 2023 | A Framework for Neural Machine Translation by Fuzzy Analogies. | Liyan Wang, Bartholomus Wloka, Yves Lepage |
| 2023 | Intent-aware Recommendation via Disentangled Graph Contrastive Learning. | Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu |
| 2023 | Feature Staleness Aware Incremental Learning for CTR Prediction. | Zhikai Wang, Yanyan Shen, Zibin Zhang, Kangyi Lin |