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• NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights

  Kirill Bykov, Anna Hedström, Shinichi Nakajima, Marina M.-C. Höhne

  6132-6140

  2022-06-28

• Leaping through Time with Gradient-Based Adaptation for Recommendation

  Nuttapong Chairatanakul, Hoang NT, Xin Liu, Tsuyoshi Murata

  6141-6149

  2022-06-28

• Active Sampling for Text Classification with Subinstance Level Queries

  Shayok Chakraborty, Ankita Singh

  6150-6158

  2022-06-28

• A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits

  Joel Q. L. Chang, Vincent Y. F. Tan

  6159-6166

  2022-06-28

• Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error

  Anamay Chaturvedi, Matthew Jones, Huy Lê Nguyễn

  6167-6174

  2022-06-28

• Safe Online Convex Optimization with Unknown Linear Safety Constraints

  Sapana Chaudhary, Dileep Kalathil

  6175-6182

  2022-06-28

• Deconvolutional Density Network: Modeling Free-Form Conditional Distributions

  Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang

  6183-6192

  2022-06-28

• Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models

  Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha

  6193-6201

  2022-06-28

• Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model

  Cheng Chen, Canzhe Zhao, Shuai Li

  6202-6210

  2022-06-28

• Clustering Interval-Censored Time-Series for Disease Phenotyping

  Irene Y. Chen, Rahul G. Krishnan, David Sontag

  6211-6221

  2022-06-28

• Efficient Robust Training via Backward Smoothing

  Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

  6222-6230

  2022-06-28

• An Online Learning Approach to Sequential User-Centric Selection Problems

  Junpu Chen, Hong Xie

  6231-6238

  2022-06-28

• Better Parameter-Free Stochastic Optimization with ODE Updates for Coin-Betting

  Keyi Chen, John Langford, Francesco Orabona

  6239-6247

  2022-06-28

• Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation

  Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

  6248-6257

  2022-06-28

• Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation

  Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

  6258-6267

  2022-06-28

• Zero Stability Well Predicts Performance of Convolutional Neural Networks

  Liangming Chen, Long Jin, Mingsheng Shang

  6268-6277

  2022-06-28

• Semi-supervised Learning with Multi-Head Co-Training

  Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

  6278-6286

  2022-06-28

• Instance Selection: A Bayesian Decision Theory Perspective

  Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang

  6287-6294

  2022-06-28

• Input-Specific Robustness Certification for Randomized Smoothing

  Ruoxin Chen, Jie Li, Junchi Yan, Ping Li, Bin Sheng

  6295-6303

  2022-06-28

• Multimodal Adversarially Learned Inference with Factorized Discriminators

  Wenxue Chen, Jianke Zhu

  6304-6312

  2022-06-28

• Imbalance-Aware Uplift Modeling for Observational Data

  Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

  6313-6321

  2022-06-28

• KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss

  Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi

  6322-6332

  2022-06-28

• BScNets: Block Simplicial Complex Neural Networks

  Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

  6333-6341

  2022-06-28

• ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition

  Zekai Chen, Xiao Zhang, Xiuzhen Cheng

  6342-6349

  2022-06-28

• Identification of Linear Latent Variable Model with Arbitrary Distribution

  Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai

  6350-6357

  2022-06-28