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• Reward-Weighted Regression Converges to a Global Optimum

  Miroslav Štrupl, Francesco Faccio, Dylan R. Ashley, Rupesh Kumar Srivastava, Jürgen Schmidhuber

  8361-8369

  2022-06-28

• Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification

  Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

  8370-8377

  2022-06-28

• Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency

  Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson

  8378-8385

  2022-06-28

• Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes

  Yi-Xuan Sun, Wei Wang

  8386-8394

  2022-06-28

• Generalized Equivariance and Preferential Labeling for GNN Node Classification

  Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

  8395-8403

  2022-06-28

• Explainable and Local Correction of Classification Models Using Decision Trees

  Hirofumi Suzuki, Hiroaki Iwashita, Takuya Takagi, Keisuke Goto, Yuta Fujishige, Satoshi Hara

  8404-8413

  2022-06-28

• Consistency Regularization for Adversarial Robustness

  Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin

  8414-8422

  2022-06-28

• Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability

  Aviv Tamar, Daniel Soudry, Ev Zisselman

  8423-8431

  2022-06-28

• FedProto: Federated Prototype Learning across Heterogeneous Clients

  Yue Tan, Guodong Long, LU LIU, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

  8432-8440

  2022-06-28

• What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator

  Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang

  8441-8449

  2022-06-28

• Optimal Sampling Gaps for Adaptive Submodular Maximization

  Shaojie Tang, Jing Yuan

  8450-8457

  2022-06-28

• With False Friends Like These, Who Can Notice Mistakes?

  Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

  8458-8466

  2022-06-28

• Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling

  Ran Tao, Han Zhang, Yutong Zheng, Marios Savvides

  8467-8475

  2022-06-28

• SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation

  Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

  8476-8484

  2022-06-28

• SplitFed: When Federated Learning Meets Split Learning

  Chandra Thapa, Pathum Chamikara Mahawaga Arachchige, Seyit Camtepe, Lichao Sun

  8485-8493

  2022-06-28

• Listwise Learning to Rank Based on Approximate Rank Indicators

  Thibaut Thonet, Yagmur Gizem Cinar, Eric Gaussier, Minghan Li, Jean-Michel Renders

  8494-8502

  2022-06-28

• PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval

  Praneeth Vepakomma, Julia Balla, Ramesh Raskar

  8503-8511

  2022-06-28

• Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models

  Sahil Verma, Keegan Hines, John P. Dickerson

  8512-8519

  2022-06-28

• Robust Optimal Classification Trees against Adversarial Examples

  Daniël Vos, Sicco Verwer

  8520-8528

  2022-06-28

• Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs

  Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein

  8529-8538

  2022-06-28

• Context Uncertainty in Contextual Bandits with Applications to Recommender Systems

  Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang

  8539-8547

  2022-06-28

• Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD

  Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

  8548-8556

  2022-06-28

• Learngene: From Open-World to Your Learning Task

  Qiu-Feng Wang, Xin Geng, Shu-Xia Lin, Shi-Yu Xia, Lei Qi, Ning Xu

  8557-8565

  2022-06-28

• Boosting Active Learning via Improving Test Performance

  Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

  8566-8574

  2022-06-28

• Efficient Algorithms for General Isotone Optimization

  Xiwen Wang, Jiaxi Ying, José Vinícius de M. Cardoso, Daniel P. Palomar

  8575-8583

  2022-06-28