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• The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models

  Li Wang, Zhiguo Fu, Yingcong Zhou, Zili Yan

  10149-10156

  2023-06-26

• Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning

  Mingyang Wang, Zhenshan Bing, Xiangtong Yao, Shuai Wang, Huang Kai, Hang Su, Chenguang Yang, Alois Knoll

  10157-10165

  2023-06-26

• Hierarchical Contrastive Learning for Temporal Point Processes

  Qingmei Wang, Minjie Cheng, Shen Yuan, Hongteng Xu

  10166-10174

  2023-06-26

• Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework

  Shuai Wang, Yanqing Xu, Zhiguo Wang, Tsung-Hui Chang, Tony Q. S. Quek, Defeng Sun

  10175-10183

  2023-06-26

• State-Conditioned Adversarial Subgoal Generation

  Vivienne Huiling Wang, Joni Pajarinen, Tinghuai Wang, Joni-Kristian Kämäräinen

  10184-10191

  2023-06-26

• Deep Attentive Model for Knowledge Tracing

  Xinping Wang, Liangyu Chen, Min Zhang

  10192-10199

  2023-06-26

• Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval

  Xu Wang, Dezhong Peng, Ming Yan, Peng Hu

  10200-10208

  2023-06-26

• Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference

  Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong

  10209-10217

  2023-06-26

• Robust Self-Supervised Multi-Instance Learning with Structure Awareness

  Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Meixia Wang

  10218-10225

  2023-06-26

• Distributed Projection-Free Online Learning for Smooth and Convex Losses

  Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang

  10226-10234

  2023-06-26

• USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network

  Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, Jiamou Liu

  10235-10243

  2023-06-26

• AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution

  Yu Wang, Ján Drgoňa, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

  10244-10252

  2023-06-26

• SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation

  Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

  10253-10261

  2023-06-26

• Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning

  Yunke Wang, Bo Du, Chang Xu

  10262-10270

  2023-06-26

• FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability

  Zheng Wang, Xiaoliang Fan, Jianzhong Qi, Haibing Jin, Peizhen Yang, Siqi Shen, Cheng Wang

  10271-10278

  2023-06-26

• Efficient Exploration in Resource-Restricted Reinforcement Learning

  Zhihai Wang, Taoxing Pan, Qi Zhou, Jie Wang

  10279-10287

  2023-06-26

• Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits

  Zhiyong Wang, Xutong Liu, Shuai Li, John C. S. Lui

  10288-10295

  2023-06-26

• Code-Aware Cross-Program Transfer Hyperparameter Optimization

  Zijia Wang, Xiangyu He, Kehan Chen, Chen Lin, Jinsong Su

  10297-10305

  2023-06-26

• Predictive Multiplicity in Probabilistic Classification

  Jamelle Watson-Daniels, David C. Parkes, Berk Ustun

  10306-10314

  2023-06-26

• Feature Distribution Fitting with Direction-Driven Weighting for Few-Shot Images Classification

  Xin Wei, Wei Du, Huan Wan, Weidong Min

  10315-10323

  2023-06-26

• Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation

  Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqin Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu

  10324-10332

  2023-06-26

• Towards In-Distribution Compatible Out-of-Distribution Detection

  Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

  10333-10341

  2023-06-26

• Non-IID Transfer Learning on Graphs

  Jun Wu, Jingrui He, Elizabeth Ainsworth

  10342-10350

  2023-06-26

• Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework

  Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li

  10351-10360

  2023-06-26

• Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models

  Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu

  10361-10369

  2023-06-26