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When Does Label Smoothing Help?
v1v2v3 (latest)

When Does Label Smoothing Help?

Neural Information Processing Systems (NeurIPS), 2019
6 June 2019
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
    UQCV
ArXiv (abs)PDFHTML

Papers citing "When Does Label Smoothing Help?"

50 / 985 papers shown
Title
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical
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On Focal Loss for Class-Posterior Probability Estimation: A Theoretical PerspectiveComputer Vision and Pattern Recognition (CVPR), 2020
Nontawat Charoenphakdee
J. Vongkulbhisal
Nuttapong Chairatanakul
Masashi Sugiyama
UQCV
186
30
0
18 Nov 2020
SoftSeg: Advantages of soft versus binary training for image
  segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation
C. Gros
A. Lemay
Julien Cohen-Adad
143
80
0
18 Nov 2020
Can Semantic Labels Assist Self-Supervised Visual Representation
  Learning?
Can Semantic Labels Assist Self-Supervised Visual Representation Learning?AAAI Conference on Artificial Intelligence (AAAI), 2020
Longhui Wei
Lingxi Xie
Jianzhong He
Jianlong Chang
Xiaopeng Zhang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
106
27
0
17 Nov 2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by
  Adding a Final Batch Normalization Layer: An Empirical Study
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical StudyInternational Conference on Pattern Recognition (ICPR), 2020
Veysel Kocaman
O. M. Shir
Thomas Bäck
110
5
0
12 Nov 2020
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep
  Learning
Uses and Abuses of the Cross-Entropy Loss: Case Studies in Modern Deep Learning
E. Gordon-Rodríguez
Gabriel Loaiza-Ganem
Geoff Pleiss
John P. Cunningham
OODUQCV
136
66
0
10 Nov 2020
Detecting Outliers with Foreign Patch Interpolation
Detecting Outliers with Foreign Patch Interpolation
Jeremy Tan
Benjamin Hou
James Batten
Huaqi Qiu
Bernhard Kainz
MedIm
222
56
0
09 Nov 2020
Improving Classifier Confidence using Lossy Label-Invariant
  Transformations
Improving Classifier Confidence using Lossy Label-Invariant Transformations
Sooyong Jang
Insup Lee
James Weimer
UQCV
136
8
0
09 Nov 2020
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
Monitoring the Impact of Wildfires on Tree Species with Deep Learning
Wang Zhou
L. Klein
165
6
0
04 Nov 2020
Optimizing Transformer for Low-Resource Neural Machine Translation
Optimizing Transformer for Low-Resource Neural Machine Translation
Ali Araabi
Christof Monz
VLM
151
85
0
04 Nov 2020
Extracting Chemical-Protein Interactions via Calibrated Deep Neural
  Network and Self-training
Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training
Dongha Choi
Hyunju Lee
84
5
0
04 Nov 2020
Specialization in Hierarchical Learning Systems
Specialization in Hierarchical Learning Systems
Heinke Hihn
Daniel A. Braun
166
18
0
03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuningInternational Conference on Learning Representations (ICLR), 2020
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
357
565
0
03 Nov 2020
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
DL-Reg: A Deep Learning Regularization Technique using Linear RegressionExpert systems with applications (ESWA), 2020
Maryam Dialameh
A. Hamzeh
Hossein Rahmani
267
4
0
31 Oct 2020
Why Do Better Loss Functions Lead to Less Transferable Features?
Why Do Better Loss Functions Lead to Less Transferable Features?Neural Information Processing Systems (NeurIPS), 2020
Simon Kornblith
Ting-Li Chen
Honglak Lee
Mohammad Norouzi
FaML
250
101
0
30 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by
  Transferring Natural Language Inference
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Jianguo Zhang
Kazuma Hashimoto
Wenhao Liu
Chien-Sheng Wu
Yao Wan
Philip S. Yu
R. Socher
Caiming Xiong
202
98
0
25 Oct 2020
An Investigation of how Label Smoothing Affects Generalization
An Investigation of how Label Smoothing Affects Generalization
Blair Chen
Liu Ziyin
Zihao Wang
Paul Pu Liang
UQCV
121
20
0
23 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution
  Data
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Lingkai Kong
Haoming Jiang
Yuchen Zhuang
Jie Lyu
T. Zhao
Chao Zhang
OODD
148
25
0
22 Oct 2020
Semantic Label Smoothing for Sequence to Sequence Problems
Semantic Label Smoothing for Sequence to Sequence Problems
Michal Lukasik
Himanshu Jain
A. Menon
Seungyeon Kim
Srinadh Bhojanapalli
Felix X. Yu
Sanjiv Kumar
AI4TS
120
18
0
15 Oct 2020
Temperature check: theory and practice for training models with
  softmax-cross-entropy losses
Temperature check: theory and practice for training models with softmax-cross-entropy losses
Atish Agarwala
Jeffrey Pennington
Yann N. Dauphin
S. Schoenholz
UQCV
142
37
0
14 Oct 2020
Ensemble Distillation for Structured Prediction: Calibrated, Accurate,
  Fast-Choose Three
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast-Choose Three
Steven Reich
David Mueller
Nicholas Andrews
BDLOODUQCV
122
13
0
13 Oct 2020
Collective Wisdom: Improving Low-resource Neural Machine Translation
  using Adaptive Knowledge Distillation
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation
Fahimeh Saleh
Wray Buntine
Gholamreza Haffari
153
11
0
12 Oct 2020
Towards Hardware-Agnostic Gaze-Trackers
Towards Hardware-Agnostic Gaze-Trackers
Jatin Sharma
Jon Campbell
P. Ansell
Jay Beavers
Christopher O'Dowd
109
2
0
11 Oct 2020
On Long-Tailed Phenomena in Neural Machine Translation
On Long-Tailed Phenomena in Neural Machine TranslationFindings (Findings), 2020
Vikas Raunak
Siddharth Dalmia
Vivek Gupta
Florian Metze
141
30
0
10 Oct 2020
What Have We Achieved on Text Summarization?
What Have We Achieved on Text Summarization?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Dandan Huang
Leyang Cui
Sen Yang
Guangsheng Bao
Kun Wang
Jun Xie
Yue Zhang
216
115
0
09 Oct 2020
Polyphonic Piano Transcription Using Autoregressive Multi-State Note
  Model
Polyphonic Piano Transcription Using Autoregressive Multi-State Note ModelInternational Society for Music Information Retrieval Conference (ISMIR), 2020
Taegyun Kwon
Dasaem Jeong
Juhan Nam
223
26
0
02 Oct 2020
Neural Proof Nets
Neural Proof NetsConference on Computational Natural Language Learning (CoNLL), 2020
Konstantinos Kogkalidis
M. Moortgat
R. Moot
113
12
0
26 Sep 2020
Accent Estimation of Japanese Words from Their Surfaces and
  Romanizations for Building Large Vocabulary Accent Dictionaries
Accent Estimation of Japanese Words from Their Surfaces and Romanizations for Building Large Vocabulary Accent DictionariesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Hideyuki Tachibana
Yotaro Katayama
117
7
0
21 Sep 2020
Learning Soft Labels via Meta Learning
Learning Soft Labels via Meta Learning
Nidhi Vyas
Shreyas Saxena
T. Voice
NoLa
197
35
0
20 Sep 2020
Introspective Learning by Distilling Knowledge from Online
  Self-explanation
Introspective Learning by Distilling Knowledge from Online Self-explanationAsian Conference on Computer Vision (ACCV), 2020
Jindong Gu
Zhiliang Wu
Volker Tresp
101
3
0
19 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet
  without Tricks
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Zhiqiang Shen
Marios Savvides
253
68
0
17 Sep 2020
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
Piyush Bagad
Aman Dalmia
Jigar Doshi
Arsha Nagrani
Parag Bhamare
A. Mahale
S. Rane
N. Agarwal
R. Panicker
244
116
0
17 Sep 2020
Label Smoothing and Adversarial Robustness
Label Smoothing and Adversarial Robustness
Chaohao Fu
Hongbin Chen
Na Ruan
Weijia Jia
AAML
140
13
0
17 Sep 2020
Adaptive Label Smoothing
Adaptive Label Smoothing
Ujwal Krothapalli
A. Lynn Abbott
187
11
0
14 Sep 2020
Improved Trainable Calibration Method for Neural Networks on Medical
  Imaging Classification
Improved Trainable Calibration Method for Neural Networks on Medical Imaging ClassificationBritish Machine Vision Conference (BMVC), 2020
G. Liang
Yu Zhang
Xiaoqin Wang
Nathan Jacobs
UQCV
157
73
0
09 Sep 2020
Class Interference Regularization
Class Interference RegularizationBritish Machine Vision Conference (BMVC), 2020
Bharti Munjal
S. Amin
Fabio Galasso
151
0
0
04 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks
Rethinking Graph Regularization for Graph Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Han Yang
Kaili Ma
James Cheng
AI4CE
273
83
0
04 Sep 2020
Mutual Teaching for Graph Convolutional Networks
Mutual Teaching for Graph Convolutional NetworksFuture generations computer systems (FGCS), 2020
Kun Zhan
Chaoxi Niu
SSL
81
32
0
02 Sep 2020
Webly Supervised Image Classification with Self-Contained Confidence
Webly Supervised Image Classification with Self-Contained ConfidenceEuropean Conference on Computer Vision (ECCV), 2020
Jingkang Yang
Xue Jiang
Weirong Chen
Xiaopeng Yan
Huabin Zheng
Ping Luo
Wayne Zhang
99
15
0
27 Aug 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment
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DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicmedRxiv (medRxiv), 2020
Mahdi Rezaei
Mohsen Azarmi
255
159
0
26 Aug 2020
HinglishNLP: Fine-tuned Language Models for Hinglish Sentiment Detection
HinglishNLP: Fine-tuned Language Models for Hinglish Sentiment Detection
Meghana Bhange
Nirant Kasliwal
71
8
0
22 Aug 2020
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
6VecLM: Language Modeling in Vector Space for IPv6 Target Generation
Tianyu Cui
G. Xiong
Gaopeng Gou
Junzheng Shi
W. Xia
69
33
0
05 Aug 2020
Distilling Visual Priors from Self-Supervised Learning
Distilling Visual Priors from Self-Supervised Learning
Bingchen Zhao
Xin Wen
SSL
197
16
0
01 Aug 2020
Joint Generative Learning and Super-Resolution For Real-World
  Camera-Screen Degradation
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Guanghao Yin
Shouqian Sun
Chao Li
Xin Min
SupR
140
0
0
01 Aug 2020
Looking At The Body: Automatic Analysis of Body Gestures and
  Self-Adaptors in Psychological Distress
Looking At The Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological DistressIEEE Transactions on Affective Computing (IEEE TAC), 2020
Weizhe Lin
Indigo Orton
Qingbiao Li
Gabriela Pavarini
M. Mahmoud
86
20
0
31 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
299
180
0
21 Jul 2020
Hybrid Discriminative-Generative Training via Contrastive Learning
Hybrid Discriminative-Generative Training via Contrastive Learning
Hao Liu
Pieter Abbeel
SSL
180
42
0
17 Jul 2020
Differential Replication in Machine Learning
Differential Replication in Machine Learning
Irene Unceta
Jordi Nin
O. Pujol
SyDa
97
1
0
15 Jul 2020
Long-tail learning via logit adjustment
Long-tail learning via logit adjustmentInternational Conference on Learning Representations (ICLR), 2020
A. Menon
Sadeep Jayasumana
A. S. Rawat
Himanshu Jain
Andreas Veit
Sanjiv Kumar
371
843
0
14 Jul 2020
Learning and Exploiting Interclass Visual Correlations for Medical Image
  Classification
Learning and Exploiting Interclass Visual Correlations for Medical Image ClassificationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Dong Wei
Shilei Cao
Kai Ma
Yefeng Zheng
98
4
0
13 Jul 2020
VINNAS: Variational Inference-based Neural Network Architecture Search
VINNAS: Variational Inference-based Neural Network Architecture Search
Martin Ferianc
Hongxiang Fan
Miguel R. D. Rodrigues
3DPC
320
7
0
12 Jul 2020
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