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
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation Gengwei Zhang Yiming Gao Hang Xu Hao Zhang Zhenguo Li Xiaodan Liang SSeg 46 5 0 07 Dec 2020
When Do Curricula Work? Xiaoxia Wu Ethan Dyer Behnam Neyshabur 33 113 0 05 Dec 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? F. Cordeiro G. Carneiro NoLa 45 45 0 05 Dec 2020
Robust Federated Learning with Noisy Labels Seunghan Yang Hyoungseob Park Junyoung Byun Changick Kim FedML NoLa 24 77 0 03 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 22 11 0 02 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
Delving Deep into Label Smoothing Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 32 211 0 25 Nov 2020
Multi-task Language Modeling for Improving Speech Recognition of Rare Words Chao-Han Huck Yang Linda Liu Ankur Gandhe Yile Gu A. Raju Denis Filimonov I. Bulyko 27 30 0 23 Nov 2020
Error-Bounded Correction of Noisy Labels Songzhu Zheng Pengxiang Wu A. Goswami Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 14 118 0 19 Nov 2020
FAIR: Fair Adversarial Instance Re-weighting Andrija Petrović Mladen Nikolic Sandro Radovanović Boris Delibavsić Milovs Jovanović FaML AAML 25 29 0 15 Nov 2020
Coresets for Robust Training of Neural Networks against Noisy Labels Baharan Mirzasoleiman Kaidi Cao J. Leskovec NoLa 19 32 0 15 Nov 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 11 10 0 13 Nov 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 8 40 0 11 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 22 24 0 05 Nov 2020
Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving Bob Wei Mengye Ren Wenyuan Zeng Ming Liang Binh Yang R. Urtasun 3DPC 22 43 0 02 Nov 2020
Unified Gradient Reweighting for Model Biasing with Applications to Source Separation Efthymios Tzinis Dimitrios Bralios Paris Smaragdis 21 1 0 25 Oct 2020
A Survey on Curriculum Learning Xin Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
On the intrinsic robustness to noise of some leading classifiers and symmetric loss function -- an empirical evaluation Hugo Le Baher V. Lemaire Romain Trinquart Polytech Nantes AAML NoLa 27 1 0 22 Oct 2020
SWIPENET: Object detection in noisy underwater images Long Chen Feixiang Zhou Shengke Wang Junyu Dong Ning Li Haiping Ma Xin Wang Huiyu Zhou 18 17 0 19 Oct 2020
GANs for learning from very high class conditional noisy labels Sandhya Tripathi N. Hemachandra GAN 11 1 0 19 Oct 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler Zhining Liu Pengfei Wei Jing Jiang Wei Cao Jiang Bian Yi-Ju Chang 14 61 0 17 Oct 2020
Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis Shixiang Feng Beibei Liu Ya Zhang Xiaoyun Zhang Yuehua Li 14 10 0 13 Oct 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 23 70 0 09 Oct 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling Yaqing Wang Subhabrata Mukherjee Haoda Chu Yuancheng Tu Ming Wu Jing Gao Ahmed Hassan Awadallah VLM 18 34 0 07 Oct 2020
How Out-of-Distribution Data Hurts Semi-Supervised Learning Xujiang Zhao Killamsetty Krishnateja Rishabh K. Iyer Feng Chen 6 3 0 07 Oct 2020
Pathological Visual Question Answering Xuehai He Zhuo Cai Wenlan Wei Yichen Zhang Luntian Mou Eric P. Xing P. Xie 70 24 0 06 Oct 2020
Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 16 36 0 05 Oct 2020
DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis Chuheng Zhang Yuanqi Li Xi Chen Yifei Jin Pingzhong Tang Jian Li 13 17 0 03 Oct 2020
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data Katharina Rombach Gabriel Michau Olga Fink NoLa 14 1 0 30 Sep 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect Kaihua Tang Jianqiang Huang Hanwang Zhang CML 20 434 0 28 Sep 2020
Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation Joy Hsu Sonia Phene A. Mitani Jieying Luo N. Hammel Jonathan Krause Rory Sayres NoLa 6 4 0 22 Sep 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 44 429 0 22 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 30 30 0 20 Sep 2020
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions Wei Hu QiHao Zhao Yangyu Huang Fan Zhang 12 5 0 14 Sep 2020
ARM: A Confidence-Based Adversarial Reweighting Module for Coarse Semantic Segmentation Jingchao Liu Ye Du Zehua Fu Qingjie Liu Yunhong Wang 25 2 0 11 Sep 2020
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework Aravind Sankar Junting Wang A. Krishnan Hari Sundaram 30 21 0 11 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 27 101 0 08 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 16 97 0 07 Sep 2020
Imbalanced Image Classification with Complement Cross Entropy Yechan Kim Younkwan Lee M. Jeon 10 63 0 04 Sep 2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation Shaotian Yan Chen Shen Zhongming Jin Jianqiang Huang Rongxin Jiang Yao-wu Chen Xiansheng Hua 26 131 0 02 Sep 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Ziyi Yang Jun Shu Yong Liang Deyu Meng Zongben Xu 6 2 0 02 Sep 2020
Weakly Supervised Learning with Side Information for Noisy Labeled Images Lele Cheng Xiangzeng Zhou Liming Zhao Dangwei Li Hong Shang Yun Zheng Pan Pan Yinghui Xu NoLa 17 43 0 25 Aug 2020
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection Liangwei Li Liucheng Sun Chenwei Weng Chengfu Huo Weijun Ren 13 15 0 23 Aug 2020
Semi-Supervised Data Programming with Subset Selection Ayush Maheshwari Oishik Chatterjee Krishnateja Killamsetty Ganesh Ramakrishnan Rishabh K. Iyer 20 21 0 22 Aug 2020
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty Wonyoung Shin Jung-Woo Ha Shengzhe Li Yongwoo Cho Hoyean Song Sunyoung Kwon NoLa 14 9 0 14 Aug 2020
Meta Feature Modulator for Long-tailed Recognition Renzhen Wang Kaiqin Hu Yanwen Zhu Jun Shu Qian Zhao Deyu Meng 16 12 0 08 Aug 2020
Data-driven Meta-set Based Fine-Grained Visual Classification Chuanyi Zhang Yazhou Yao Xiangbo Shu Zechao Li Zhenmin Tang Qi Wu NoLa 21 2 0 06 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Zhang NoLa 29 41 0 06 Aug 2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector Yichen Wu Jun Shu Qi Xie Qian Zhao Deyu Meng 6 65 0 03 Aug 2020