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Evaluating Multi-label Classifiers with Noisy Labels

Evaluating Multi-label Classifiers with Noisy Labels

16 February 2021
Wenting Zhao
Carla P. Gomes
    NoLa
ArXivPDFHTML

Papers citing "Evaluating Multi-label Classifiers with Noisy Labels"

30 / 30 papers shown
Title
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
86
540
0
29 Sep 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
109
987
0
16 Jul 2020
Disentangled Variational Autoencoder based Multi-Label Classification
  with Covariance-Aware Multivariate Probit Model
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Junwen Bai
Shufeng Kong
Carla P. Gomes
DRL
54
53
0
12 Jul 2020
Towards Noise-resistant Object Detection with Noisy Annotations
Towards Noise-resistant Object Detection with Noisy Annotations
Junnan Li
Caiming Xiong
R. Socher
Guosheng Lin
ObjD
NoLa
131
31
0
03 Mar 2020
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label
  Classification
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
Renchun You
Zhiyao Guo
Lei Cui
Xiang Long
Sid Ying-Ze Bao
Shilei Wen
69
184
0
17 Dec 2019
Multi-Label Classification with Label Graph Superimposing
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
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
101
172
0
24 May 2019
Neural Message Passing for Multi-Label Classification
Neural Message Passing for Multi-Label Classification
Jack Lanchantin
Arshdeep Sekhon
Yanjun Qi
59
38
0
17 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
98
1,001
0
07 Apr 2019
An Effective Label Noise Model for DNN Text Classification
An Effective Label Noise Model for DNN Text Classification
Ishan Jindal
Daniel Pressel
Brian Lester
M. Nokleby
NoLa
67
49
0
18 Mar 2019
Efficient Training on Very Large Corpora via Gramian Estimation
Efficient Training on Very Large Corpora via Gramian Estimation
Walid Krichene
Nicolas Mayoraz
Steffen Rendle
Li Zhang
Xinyang Yi
Lichan Hong
Ed H. Chi
John R. Anderson
52
48
0
18 Jul 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
83
2,602
0
20 May 2018
Joint Embedding of Words and Labels for Text Classification
Joint Embedding of Words and Labels for Text Classification
Guoyin Wang
Chunyuan Li
Wenlin Wang
Yizhe Zhang
Dinghan Shen
Xinyuan Zhang
Ricardo Henao
Lawrence Carin
AI4TS
VLM
49
390
0
10 May 2018
End-to-End Learning for the Deep Multivariate Probit Model
End-to-End Learning for the Deep Multivariate Probit Model
Di Chen
Yexiang Xue
Carla P. Gomes
55
22
0
22 Mar 2018
Deep Learning from Noisy Image Labels with Quality Embedding
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
Multi-Entity Dependence Learning with Rich Context via Conditional
  Variational Auto-encoder
Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder
Luming Tang
Yexiang Xue
Di Chen
Carla P. Gomes
33
15
0
17 Sep 2017
Learning Spread-out Local Feature Descriptors
Learning Spread-out Local Feature Descriptors
Xu-Yao Zhang
Felix X. Yu
Sanjiv Kumar
Shih-Fu Chang
62
143
0
21 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
WebVision Challenge: Visual Learning and Understanding With Web Data
WebVision Challenge: Visual Learning and Understanding With Web Data
Wen Li
Limin Wang
Wei Li
E. Agustsson
Jesse Berent
Abhinav Gupta
Rahul Sukthankar
Luc Van Gool
VLM
45
19
0
16 May 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
593
7,455
0
04 Apr 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
136
479
0
06 Jan 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
339
4,629
0
10 Nov 2016
Deep Multi-Species Embedding
Deep Multi-Species Embedding
Di Chen
Yexiang Xue
Shuo Chen
Daniel Fink
Carla P. Gomes
39
48
0
28 Sep 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
90
1,163
0
15 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,547
0
01 Sep 2014
Large-scale Multi-label Text Classification - Revisiting Neural Networks
Large-scale Multi-label Text Classification - Revisiting Neural Networks
Jinseok Nam
Jungi Kim
E. Mencía
Iryna Gurevych
Johannes Furnkranz
76
364
0
19 Dec 2013
Deep Convolutional Ranking for Multilabel Image Annotation
Deep Convolutional Ranking for Multilabel Image Annotation
Yunchao Gong
Yangqing Jia
Thomas Leung
Alexander Toshev
Sergey Ioffe
VLM
127
433
0
17 Dec 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
677
31,512
0
16 Jan 2013
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