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Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

5 October 2020

Zhaowei Zhu

Yang Liu

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Papers citing "Learning with Instance-Dependent Label Noise: A Sample Sieve Approach"

31 / 131 papers shown

Title
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 97 37 0 02 Feb 2022
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification Chunren Tang Dingyu Xue Dongyue Chen 78 2 0 25 Jan 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 96 17 0 29 Nov 2021
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 65 5 0 02 Nov 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 147 261 0 22 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 90 28 0 18 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 217 68 0 12 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 239 40 0 12 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 134 106 0 07 Oct 2021
Instance-dependent Label-noise Learning under a Structural Causal Model Yu Yao Tongliang Liu Biwei Huang Bo Han Gang Niu Kun Zhang CML NoLa 68 73 0 07 Sep 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 98 20 0 13 Jul 2021
Bias-Tolerant Fair Classification Yixuan Zhang Feng Zhou Zhidong Li Yang Wang Fang Chen 39 3 0 07 Jul 2021
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? Bidur Khanal Christopher Kanan NoLa 69 5 0 29 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 137 72 0 08 Jun 2021
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network Shuo Yang Erkun Yang Bo Han Yang Liu Min Xu Gang Niu Tongliang Liu NoLa BDL 88 44 0 27 May 2021
Generation and Analysis of Feature-Dependent Pseudo Noise for Training Deep Neural Networks Sree Ram Kamabattula Kumudha Musini Babak Namazi G. Sankaranarayanan V. Devarajan NoLa 16 0 0 22 May 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 80 9 0 01 Apr 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Zhiming Luo Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 71 111 0 08 Mar 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 94 104 0 23 Feb 2021
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments Yang Liu NoLa 55 35 0 10 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 99 93 0 10 Feb 2021
Understanding the Interaction of Adversarial Training with Noisy Labels Jianing Zhu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Hongxia Yang Mohan Kankanhalli Masashi Sugiyama AAML 97 27 0 06 Feb 2021
An Empirical Study and Analysis on Open-Set Semi-Supervised Learning Huixiang Luo Hao Cheng Fanxu Meng Yuting Gao Ke Li Mengdan Zhang Xing Sun 74 8 0 19 Jan 2021
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training Jiaheng Wei Minghao Liu Jiahao Luo Andrew Zhu James Davis Yang Liu GAN 149 12 0 19 Jan 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 101 19 0 23 Dec 2020
A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu Tongliang Liu Yang Liu NoLa 97 129 0 22 Dec 2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Jiankang Deng Jiatong Li Yinian Mao NoLa 76 11 0 02 Dec 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 78 55 0 07 Nov 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 74 15 0 05 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 410 522 0 05 Mar 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 139 108 0 11 Jan 2020