Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

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Title
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 34 23 0 15 Mar 2022
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation Junwen Pan Qi Bi Yanzhan Yang Pengfei Zhu Cheng Bian 21 21 0 10 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 24 172 0 08 Mar 2022
MOCA-S: A Sensitive Mobile Collaborative Robotic Assistant exploiting Low-Cost Capacitive Tactile Cover and Whole-Body Control M. Leonori J. Gandarias Arash Ajoudani 23 7 0 27 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé M. Schaar OOD 28 14 0 17 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 19 33 0 11 Feb 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 44 3 0 09 Feb 2022
Data Consistency for Weakly Supervised Learning Chidubem Arachie Bert Huang NoLa 24 2 0 08 Feb 2022
Adaptive Mixing of Auxiliary Losses in Supervised Learning D. Sivasubramanian Ayush Maheshwari Pradeep Shenoy A. Prathosh Ganesh Ramakrishnan 29 5 0 07 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 25 11 0 03 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 53 3 0 30 Jan 2022
Investigating Why Contrastive Learning Benefits Robustness Against Label Noise Yihao Xue Kyle Whitecross Baharan Mirzasoleiman SSL NoLa 20 50 0 29 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations Yuanfeng Ji Lu Zhang Jiaxiang Wu Bing Wu Long-Kai Huang ... Ping Luo Shuigeng Zhou Junzhou Huang Peilin Zhao Yatao Bian OOD 69 73 0 24 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 49 25 0 22 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 24 33 0 20 Jan 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie Hongxin Wei Lei Feng Bo An 21 11 0 16 Jan 2022
Robust Contrastive Learning against Noisy Views Ching-Yao Chuang R. Devon Hjelm Xin Wang Vibhav Vineet Neel Joshi Antonio Torralba Stefanie Jegelka Ya-heng Song NoLa 13 68 0 12 Jan 2022
Self-directed Machine Learning Wenwu Zhu Xin Wang P. Xie 14 6 0 04 Jan 2022
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship Quanziang Wang Renzhen Wang Yuexiang Li Dong Wei Kai Ma Yefeng Zheng Deyu Meng CLL 33 7 0 31 Dec 2021
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data Shenwang Jiang Jianan Li Ying Wang Bo Huang Zhang Zhang Tingfa Xu NoLa 28 31 0 30 Dec 2021
Semantic Clustering based Deduction Learning for Image Recognition and Classification Wenchi Ma Xuemin Tu Bo Luo Guanghui Wang 36 29 0 25 Dec 2021
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 35 11 0 19 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 22 41 0 18 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images Shiran Zada Itay Benou Michal Irani 32 25 0 16 Dec 2021
Robust Neural Network Classification via Double Regularization Olof Zetterqvist Rebecka Jörnsten J. Jonasson 11 1 0 15 Dec 2021
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Xiaohua Chen Yucan Zhou Dayan Wu Wanqian Zhang Yu Zhou Bo-wen Li Weiping Wang 15 51 0 15 Dec 2021
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels Youcai Zhang Y. Cheng Xinyu Huang Fei Wen Rui Feng Yaqian Li Yandong Guo VLM 11 33 0 13 Dec 2021
Self-Paced Deep Regression Forests with Consideration of Ranking Fairness Lili Pan Mingming Meng Yazhou Ren Yali Zheng Zenglin Xu 23 1 0 13 Dec 2021
You Only Need End-to-End Training for Long-Tailed Recognition Zhiwei Zhang 15 2 0 11 Dec 2021
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey Xun Chen Chang Li Aiping Liu Martin J. McKeown Ruobing Qian Z. J. Wang 19 70 0 08 Dec 2021
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network Haoyang Li Xin Wang Ziwei Zhang Wenwu Zhu OODD OOD 29 97 0 07 Dec 2021
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 19 11 0 02 Dec 2021
Learning from Mistakes based on Class Weighting with Application to Neural Architecture Search Jay P. Gala P. Xie 34 1 0 01 Dec 2021
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 35 15 0 29 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 27 18 0 22 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 12 2 0 21 Nov 2021
DIVA: Dataset Derivative of a Learning Task Yonatan Dukler Alessandro Achille Giovanni Paolini Avinash Ravichandran M. Polito Stefano Soatto 22 5 0 18 Nov 2021
Exploiting all samples in low-resource sentence classification: early stopping and initialization parameters Hongseok Choi Hyunju Lee 26 3 0 12 Nov 2021
Learning from Mistakes -- A Framework for Neural Architecture Search Bhanu Garg Li Zhang Pradyumna Sridhara Ramtin Hosseini Eric P. Xing P. Xie 22 9 0 11 Nov 2021
Feature Generation for Long-tail Classification Rahul Vigneswaran M. Law V. Balasubramanian Makarand Tapaswi VLM 24 16 0 10 Nov 2021
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 29 19 0 09 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 104 34 0 08 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 65 52 0 06 Nov 2021
Meta-Learning to Improve Pre-Training Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 19 30 0 02 Nov 2021
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 32 24 0 29 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu-Xiang Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 30 45 0 26 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 19 0 0 25 Oct 2021