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Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

20 May 2018
Zhilu Zhang
M. Sabuncu
    NoLa
ArXivPDFHTML

Papers citing "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels"

50 / 337 papers shown
Title
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument
  Segmentation
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
Using a Language Model in a Kiosk Recommender System at Fast-Food
  Restaurants
Using a Language Model in a Kiosk Recommender System at Fast-Food Restaurants
Eduard Zubchuk
Dmitry Menshikov
N. Mikhaylovskiy
19
2
0
08 Feb 2022
Data Consistency for Weakly Supervised Learning
Data Consistency for Weakly Supervised Learning
Chidubem Arachie
Bert Huang
NoLa
24
2
0
08 Feb 2022
Backdoor Defense via Decoupling the Training Process
Backdoor Defense via Decoupling the Training Process
Kunzhe Huang
Yiming Li
Baoyuan Wu
Zhan Qin
Kui Ren
AAML
FedML
27
187
0
05 Feb 2022
Dynamic Rectification Knowledge Distillation
Dynamic Rectification Knowledge Distillation
Fahad Rahman Amik
Ahnaf Ismat Tasin
Silvia Ahmed
M. M. L. Elahi
Nabeel Mohammed
28
5
0
27 Jan 2022
Feature Diversity Learning with Sample Dropout for Unsupervised Domain
  Adaptive Person Re-identification
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification
Chunren Tang
Dingyu Xue
Dongyue Chen
38
2
0
25 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label
  Learning
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
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels
Yayong Li
Jie Yin
Ling-Hao Chen
27
33
0
20 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Robust Contrastive Learning against Noisy Views
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
Semantic Clustering based Deduction Learning for Image Recognition and
  Classification
Semantic Clustering based Deduction Learning for Image Recognition and Classification
Wenchi Ma
Xuemin Tu
Bo Luo
Guanghui Wang
36
29
0
25 Dec 2021
Improving Self-supervised Learning with Automated Unsupervised Outlier
  Arbitration
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
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
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
24
2
0
13 Dec 2021
Learning Nigerian accent embeddings from speech: preliminary results
  based on SautiDB-Naija corpus
Learning Nigerian accent embeddings from speech: preliminary results based on SautiDB-Naija corpus
Tejumade Afonja
Oladimeji Mudele
Iroro Orife
Kenechi Dukor
Lawrence Francis
Duru Goodness
Oluwafemi Azeez
Ademola Malomo
Clinton Mbataku
8
3
0
12 Dec 2021
The perils of being unhinged: On the accuracy of classifiers minimizing
  a noise-robust convex loss
The perils of being unhinged: On the accuracy of classifiers minimizing a noise-robust convex loss
Philip M. Long
Rocco A. Servedio
19
2
0
08 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image
  Classification
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
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data
  via Generative Bias-transformation
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation
Yeonsung Jung
Hajin Shim
J. Yang
Eunho Yang
25
8
0
02 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise
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
IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment
  analysis of code-mixed text in Dravidian languages
IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment analysis of code-mixed text in Dravidian languages
Karthik Puranik
B. Bharathi
Senthil Kumar B
35
7
0
15 Nov 2021
Critical Sentence Identification in Legal Cases Using Multi-Class
  Classification
Critical Sentence Identification in Legal Cases Using Multi-Class Classification
Sahan Jayasinghe
Lakith Rambukkanage
Ashan Silva
Nisansa de Silva
A. Perera
AILaw
ELM
43
4
0
10 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural
  Networks
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
55
54
0
08 Nov 2021
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding
  Box Regression
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
Jiabo He
S. Erfani
Xingjun Ma
James Bailey
Ying Chi
Xiansheng Hua
34
248
0
26 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
45
0
0
19 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between
  Representations
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
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
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
Detecting Corrupted Labels Without Training a Model to Predict
Zhaowei Zhu
Zihao Dong
Yang Liu
NoLa
149
62
0
12 Oct 2021
Rethinking Person Re-Identification via Semantic-Based Pretraining
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang
Jingsheng Gao
Zi-Yu Zhang
Mengyuan Guan
Binghai Yan
Ting Liu
Dahong Qian
Yuzhuo Fu
VLM
32
11
0
11 Oct 2021
Robustness and Reliability When Training With Noisy Labels
Robustness and Reliability When Training With Noisy Labels
Amanda Olmin
Fredrik Lindsten
OOD
NoLa
24
14
0
07 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
29
21
0
06 Oct 2021
A Deep Learning Perspective on Connected Automated Vehicle (CAV)
  Cybersecurity and Threat Intelligence
A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence
M. Basnet
Mohd. Hasan Ali
26
7
0
22 Sep 2021
Less is More: Learning from Synthetic Data with Fine-grained Attributes
  for Person Re-Identification
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Suncheng Xiang
Dahong Qian
Mengyuan Guan
Binghai Yan
Guanjie You
Ting Liu
Yuzhuo Fu
AI4TS
26
32
0
22 Sep 2021
Mixing between the Cross Entropy and the Expectation Loss Terms
Mixing between the Cross Entropy and the Expectation Loss Terms
Barak Battash
Lior Wolf
Tamir Hazan
UQCV
20
0
0
12 Sep 2021
Truth Discovery in Sequence Labels from Crowds
Truth Discovery in Sequence Labels from Crowds
Nasim Sabetpour
Adithya Kulkarni
Sihong Xie
Qi Li
39
16
0
09 Sep 2021
A robust approach for deep neural networks in presence of label noise:
  relabelling and filtering instances during training
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
Ghost Loss to Question the Reliability of Training Data
Ghost Loss to Question the Reliability of Training Data
A. Deliège
A. Cioppa
Marc Van Droogenbroeck
UQCV
21
1
0
03 Sep 2021
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Eungyeup Kim
Jihyeon Janel Lee
Jaegul Choo
27
86
0
23 Aug 2021
Identifying Illicit Drug Dealers on Instagram with Large-scale
  Multimodal Data Fusion
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion
Chuanbo Hu
Minglei Yin
Bin Liu
Xin Li
Yanfang Ye
30
9
0
18 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
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
Learning with Noisy Labels via Sparse Regularization
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
Learning with Noisy Labels for Robust Point Cloud Segmentation
Learning with Noisy Labels for Robust Point Cloud Segmentation
Shuquan Ye
Dongdong Chen
Songfang Han
Jing Liao
3DPC
31
51
0
29 Jul 2021
Bias Loss for Mobile Neural Networks
Bias Loss for Mobile Neural Networks
L. Abrahamyan
Valentin Ziatchin
Yiming Chen
Nikos Deligiannis
15
14
0
23 Jul 2021
kNet: A Deep kNN Network To Handle Label Noise
kNet: A Deep kNN Network To Handle Label Noise
Itzik Mizrahi
S. Avidan
NoLa
21
0
0
20 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy
  Labels
Mitigating Memorization in Sample Selection for Learning with Noisy Labels
Kyeongbo Kong
Junggi Lee
Youngchul Kwak
Young-Rae Cho
Seong-Eun Kim
Woo‐Jin Song
NoLa
18
0
0
08 Jul 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
19
148
0
03 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise
Adaptive Sample Selection for Robust Learning under Label Noise
Deep Patel
P. Sastry
OOD
NoLa
28
29
0
29 Jun 2021
Fairness via Representation Neutralization
Fairness via Representation Neutralization
Mengnan Du
Subhabrata Mukherjee
Guanchu Wang
Ruixiang Tang
Ahmed Hassan Awadallah
Xia Hu
25
78
0
23 Jun 2021
SENT: Sentence-level Distant Relation Extraction via Negative Training
SENT: Sentence-level Distant Relation Extraction via Negative Training
Ruotian Ma
Tao Gui
Linyang Li
Qi Zhang
Yaqian Zhou
Xuanjing Huang
22
28
0
22 Jun 2021
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