Learning to Learn from Noisy Labeled Data

13 December 2018

Papers citing "Learning to Learn from Noisy Labeled Data"

33 / 83 papers shown

Title
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
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 35 5 0 10 Sep 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
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
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
Boosting Co-teaching with Compression Regularization for Label Noise Yingyi Chen Xin Shen S. Hu Johan A. K. Suykens NoLa 45 45 0 28 Apr 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? Aritra Ghosh Andrew Lan NoLa 23 9 0 19 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew Lan NoLa 21 58 0 19 Apr 2021
Robust Audio-Visual Instance Discrimination Pedro Morgado Ishan Misra Nuno Vasconcelos SSL 22 110 0 29 Mar 2021
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation Rumeng Yi Yaping Huang Q. Guan Mengyang Pu Runsheng Zhang NoLa 28 27 0 26 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 19 77 0 06 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 27 3 0 01 Mar 2021
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 35 24 0 19 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 27 6 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong Guosheng Lin 26 95 0 17 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 42 43 0 25 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data A. L. Rodríguez Benjamin Busam K. Mikolajczyk 39 44 0 03 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID Yang Long Guisong Xia Shengyang Li Wen Yang M. Yang Xiaoxiang Zhu Liangpei Zhang Deren Li 18 21 0 22 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 65 33 0 15 Mar 2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning Elad Amrani Rami Ben-Ari Daniel Rotman A. Bronstein 17 121 0 06 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 499 0 05 Mar 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Data Valuation using Reinforcement Learning Jinsung Yoon Sercan Ö. Arik Tomas Pfister TDI 36 174 0 25 Sep 2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation Jaehoon Cho Dongbo Min Youngjung Kim Kwanghoon Sohn MDE 3DV 33 47 0 23 Apr 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 463 11,715 0 09 Mar 2017