MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels

14 December 2017

Li Fei-Fei

Papers citing "MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels"

50 / 268 papers shown

Title
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 17 20 0 28 Apr 2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection Mingtao Feng Li-Yu Daisy Liu Liangkai Zhang Hongshan Yu Yaonan Wang Ajmal Mian 27 18 0 28 Apr 2022
Few-shot Learning with Noisy Labels Kevin J Liang Samrudhdhi B. Rangrej Vladan Petrovic Tal Hassner NoLa 22 47 0 12 Apr 2022
Agreement or Disagreement in Noise-tolerant Mutual Learning? Jiarun Liu Daguang Jiang Yukun Yang Ruirui Li NoLa 23 2 0 29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 30 98 0 28 Mar 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 27 4 0 21 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 24 172 0 08 Mar 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification Chen Gong K. Bin E. Seibel Xin Wang Youbing Yin Qi Song NoLa 33 2 0 27 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 31 0 0 26 Feb 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 27 35 0 16 Feb 2022
Cyclical Curriculum Learning Himmet Toprak Kesgin M. Amasyalı ODL 19 8 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
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
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mańdziuk 120 41 0 28 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
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
Learning with Label Noise for Image Retrieval by Selecting Interactions Sarah Ibrahimi Arnaud Sors Rafael Sampaio de Rezende S. Clinchant NoLa VLM 27 16 0 20 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration Yu Wang Jingyang Lin Jingjing Zou Yingwei Pan Ting Yao Tao Mei OODD 32 12 0 15 Dec 2021
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Yi Li Yiqun Duan Zhanghui Kuang Yimin Chen Wayne Zhang Xiaomeng Li 30 72 0 14 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 34 72 0 05 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 25 3 0 02 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Rameswar Panda VLM 26 30 0 23 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
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 29 19 0 09 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 46 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction Takuma Yagi Md. Tasnimul Hasan Yoichi Sato 22 5 0 19 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 38 28 0 18 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 35 13 0 15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 40 39 0 14 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 149 62 0 12 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 24 32 0 11 Sep 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A. Gómez-Ríos Julián Luengo Francisco Herrera OOD NoLa 21 0 0 08 Sep 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 25 50 0 26 Aug 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 80 0 25 Aug 2021
Cooperative Learning for Noisy Supervision Hao Wu Jiangchao Yao Ya Zhang Yanfeng Wang NoLa 14 2 0 11 Aug 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach Zeren Sun Yazhou Yao Xiu-Shen Wei Yongshun Zhang Fumin Shen Jianxin Wu Jian Zhang Heng Tao Shen 28 55 0 05 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun Xia Lirong Wu Stan Z. Li NoLa 76 116 0 05 Aug 2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning Xinzhi Dong Chengjiang Long Wenju Xu Chunxia Xiao ViT 79 66 0 05 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 28 51 0 31 Jul 2021
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation Yunfei Liu Ruicong Liu Haofei Wang Feng Lu OOD 21 54 0 29 Jul 2021
Robust Nonparametric Regression with Deep Neural Networks Guohao Shen Yuling Jiao Yuanyuan Lin Jian Huang OOD 33 13 0 21 Jul 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 27 26 0 21 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 35 62 0 19 Jul 2021
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations Darshan Gera B. S 13 7 0 10 Jul 2021