Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators

4 August 2021

Papers citing "Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators"

29 / 29 papers shown

Title
Towards the Memorization Effect of Neural Networks in Adversarial Training Han Xu Xiaorui Liu Wentao Wang Wenbiao Ding Zhongqin Wu Zitao Liu Anil K. Jain Jiliang Tang TDI AAML 102 7 0 09 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 284 701 0 22 Apr 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 97 14 0 16 Feb 2021
General Multi-label Image Classification with Transformers Jack Lanchantin Tianlu Wang Vicente Ordonez Yanjun Qi ViT 58 266 0 27 Nov 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 80 539 0 29 Sep 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 140 462 0 09 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 101 985 0 16 Jul 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model Junwen Bai Shufeng Kong Carla P. Gomes DRL 43 53 0 12 Jul 2020
TResNet: High Performance GPU-Dedicated Architecture T. Ridnik Hussam Lawen Asaf Noy Emanuel Ben-Baruch Gilad Sharir Itamar Friedman OOD 67 213 0 30 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 126 31 0 03 Mar 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 75 328 0 11 Dec 2019
Multi-Label Classification with Label Graph Superimposing Ya Wang Dongliang He Fu Li Xiang Long Zhichao Zhou Jinwen Ma Shilei Wen 72 168 0 21 Nov 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 123 494 0 12 Jun 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 65 386 0 13 May 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 90 1,001 0 07 Apr 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 77 231 0 10 Feb 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 82 139 0 31 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 58 782 0 14 Jan 2019
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 68 255 0 21 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 110 2,067 0 18 Apr 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 127 554 0 14 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 95 1,451 0 14 Dec 2017
Deep Learning from Noisy Image Labels with Quality Embedding Jiangchao Yao Jiajie Wang Ivor Tsang Ya Zhang Jun-wei Sun Chengqi Zhang Rui Zhang NoLa 75 121 0 02 Nov 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 120 1,816 0 16 Jun 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision Andreas Veit N. Alldrin Gal Chechik Ivan Krasin Abhinav Gupta Serge J. Belongie 122 479 0 06 Jan 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 336 4,625 0 10 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 90 1,452 0 13 Sep 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,638 0 01 May 2014