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Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization


Mar 31, 2021
Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama

* 19 pages, 12 figures 

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Approximating Instance-Dependent Noise via Instance-Confidence Embedding


Mar 25, 2021
Yivan Zhang, Masashi Sugiyama


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Discovering Diverse Solutions in Deep Reinforcement Learning


Mar 12, 2021
Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama

* 18 pages 

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Lower-bounded proper losses for weakly supervised classification


Mar 04, 2021
Shuhei M. Yoshida, Takashi Takenouchi, Masashi Sugiyama


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LocalDrop: A Hybrid Regularization for Deep Neural Networks


Mar 01, 2021
Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama


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Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation


Feb 27, 2021
Takeshi Teshima, Masashi Sugiyama

* 24 pages, 5 figures, 2 tables 

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Guided Interpolation for Adversarial Training


Feb 15, 2021
Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama


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Learning from Similarity-Confidence Data


Feb 13, 2021
Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama

* 33 pages, 5 figures 

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CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection


Feb 10, 2021
Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama


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Understanding the Interaction of Adversarial Training with Noisy Labels


Feb 09, 2021
Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan Kankanhalli, Masashi Sugiyama


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Learning Diverse-Structured Networks for Adversarial Robustness


Feb 08, 2021
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

* 26 pages, 8 figures 

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Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization


Feb 04, 2021
Yivan Zhang, Gang Niu, Masashi Sugiyama


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Provably End-to-end Label-Noise Learning without Anchor Points


Feb 04, 2021
Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama


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Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification


Feb 01, 2021
Shida Lei, Nan Lu, Gang Niu, Issei Sato, Masashi Sugiyama


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Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics


Jan 19, 2021
Masato Ishii, Masashi Sugiyama


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A Symmetric Loss Perspective of Reliable Machine Learning


Jan 05, 2021
Nontawat Charoenphakdee, Jongyeong Lee, Masashi Sugiyama

* Preprint of an Invited Review Article 

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Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation


Dec 31, 2020
Yuko Kuroki, Junya Honda, Masashi Sugiyama

* Preprint of an Invited Review Article 

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On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective


Dec 14, 2020
Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama

* 57 pages 

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Stable Weight Decay Regularization


Nov 24, 2020
Zeke Xie, Issei Sato, Masashi Sugiyama

* 18 pages, 18 figures 

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Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting


Nov 24, 2020
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama

* 19 pages, 12 figures 

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A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

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Binary classification with ambiguous training data


Nov 05, 2020
Naoya Otani, Yosuke Otsubo, Tetsuya Koike, Masashi Sugiyama

* Mach Learn (2020) 
* 20 pages, 6 figures, accepted at the 12th Asian Conference on Machine Learning (ACML 2020) 

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Robust Imitation Learning from Noisy Demonstrations


Oct 31, 2020
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama


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Classification with Rejection Based on Cost-sensitive Classification


Oct 31, 2020
Nontawat Charoenphakdee, Zhenghang Cui, Yivan Zhang, Masashi Sugiyama

* 34 pages 

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Maximum Mean Discrepancy is Aware of Adversarial Attacks


Oct 22, 2020
Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama


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