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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 / 987 papers shown
A Theory-Driven Self-Labeling Refinement Method for Contrastive
  Representation Learning
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation LearningNeural Information Processing Systems (NeurIPS), 2021
Pan Zhou
Caiming Xiong
Xiaotong Yuan
Guosheng Lin
SSL
152
12
0
28 Jun 2021
Midpoint Regularization: from High Uncertainty Training to Conservative
  Classification
Midpoint Regularization: from High Uncertainty Training to Conservative Classification
Ziqiao Wang
248
3
0
26 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth
  Discovery and Geometric Optimization
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization
Chunwei Ma
Ziyun Huang
Jiayi Xian
Mingchen Gao
Jinhui Xu
UQCV
181
16
0
25 Jun 2021
Credal Self-Supervised Learning
Credal Self-Supervised LearningNeural Information Processing Systems (NeurIPS), 2021
Julian Lienen
Eyke Hüllermeier
SSL
143
22
0
22 Jun 2021
Teacher's pet: understanding and mitigating biases in distillation
Teacher's pet: understanding and mitigating biases in distillation
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Sanjiv Kumar
206
29
0
19 Jun 2021
Less is More: Feature Selection for Adversarial Robustness with
  Compressive Counter-Adversarial Attacks
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks
Emre Ozfatura
Muhammad Zaid Hameed
Kerem Ozfatura
Deniz Gunduz
AAML
103
1
0
18 Jun 2021
Federated Robustness Propagation: Sharing Robustness in Heterogeneous
  Federated Learning
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2021
Junyuan Hong
Haotao Wang
Zinan Lin
Jiayu Zhou
FedML
162
25
0
18 Jun 2021
Source-free Domain Adaptation via Avatar Prototype Generation and
  Adaptation
Source-free Domain Adaptation via Avatar Prototype Generation and AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Zhen Qiu
Yifan Zhang
Hongbin Lin
Shuaicheng Niu
Yanxia Liu
Qing Du
Zhuliang Yu
TTA
168
195
0
18 Jun 2021
Multi-Label Learning from Single Positive Labels
Multi-Label Learning from Single Positive LabelsComputer Vision and Pattern Recognition (CVPR), 2021
Elijah Cole
Oisin Mac Aodha
Titouan Lorieul
Pietro Perona
Dan Morris
Nebojsa Jojic
365
143
0
17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCVOOD
352
28
0
17 Jun 2021
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end
  Event Extraction
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
Yaojie Lu
Hongyu Lin
Jin Xu
Xianpei Han
Jialong Tang
Annan Li
Le Sun
M. Liao
Shaoyi Chen
166
312
0
17 Jun 2021
Revisiting the Calibration of Modern Neural Networks
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer
Josip Djolonga
Rob Romijnders
F. Hubis
Xiaohua Zhai
N. Houlsby
Dustin Tran
Mario Lucic
UQCV
390
442
0
15 Jun 2021
MlTr: Multi-label Classification with Transformer
MlTr: Multi-label Classification with TransformerIEEE International Conference on Multimedia and Expo (ICME), 2021
Xingyi Cheng
Hezheng Lin
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Nian Shi
Honglin Liu
ViT
165
56
0
11 Jun 2021
The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset
The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset
R. Kamath
Gregory Rolwes
Samuel Black
Abby Stylianou
3DH
163
11
0
10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and PrimerACM Computing Surveys (CSUR), 2021
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zinan Lin
J. Yadawa
304
44
0
09 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels
To Smooth or Not? When Label Smoothing Meets Noisy LabelsInternational Conference on Machine Learning (ICML), 2021
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
624
99
0
08 Jun 2021
Not All Knowledge Is Created Equal: Mutual Distillation of Confident
  Knowledge
Not All Knowledge Is Created Equal: Mutual Distillation of Confident Knowledge
Ziyun Li
Xinshao Wang
Diane Hu
N. Robertson
David Clifton
Christoph Meinel
Haojin Yang
269
12
0
02 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data
  Generation
Towards Robust Classification Model by Counterfactual and Invariant Data GenerationComputer Vision and Pattern Recognition (CVPR), 2021
C. Chang
George Adam
Anna Goldenberg
OODCML
248
39
0
02 Jun 2021
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences
  on Neural Machine Translation
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Eleftheria Briakou
Marine Carpuat
102
14
0
31 May 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of
  Noisy Labels
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
Jingfeng Zhang
Xilie Xu
Bo Han
Tongliang Liu
Gang Niu
Li-zhen Cui
Masashi Sugiyama
NoLaAAML
196
9
0
31 May 2021
Diversifying Dialog Generation via Adaptive Label Smoothing
Diversifying Dialog Generation via Adaptive Label SmoothingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Yida Wang
Yinhe Zheng
Yong Jiang
Shiyu Huang
226
38
0
30 May 2021
Transformer-Based Source-Free Domain Adaptation
Transformer-Based Source-Free Domain Adaptation
Guanglei Yang
Hao Tang
Zhun Zhong
M. Ding
Ling Shao
Andrii Zadaianchuk
Elisa Ricci
ViT
171
50
0
28 May 2021
Improving Sign Language Translation with Monolingual Data by Sign
  Back-Translation
Improving Sign Language Translation with Monolingual Data by Sign Back-TranslationComputer Vision and Pattern Recognition (CVPR), 2021
Hao Zhou
Wen-gang Zhou
Weizhen Qi
Junfu Pu
Houqiang Li
SLR
168
281
0
26 May 2021
Revisiting Knowledge Distillation for Object Detection
Revisiting Knowledge Distillation for Object Detection
Amin Banitalebi-Dehkordi
110
7
0
22 May 2021
Anomaly Detection of Adversarial Examples using Class-conditional
  Generative Adversarial Networks
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial NetworksComputers & security (CS), 2021
Hang Wang
David J. Miller
G. Kesidis
GANAAML
223
18
0
21 May 2021
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in
  Knowledge Distillation
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge DistillationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Taehyeon Kim
Jaehoon Oh
Nakyil Kim
Sangwook Cho
Se-Young Yun
204
288
0
19 May 2021
A Cognitive Regularizer for Language Modeling
A Cognitive Regularizer for Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Jason W. Wei
Clara Meister
Robert Bamler
256
22
0
15 May 2021
Few-Shot Video Object Detection
Few-Shot Video Object DetectionEuropean Conference on Computer Vision (ECCV), 2021
Qi Fan
Chi-Keung Tang
Yu-Wing Tai
363
15
0
30 Apr 2021
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage
  Scoring in X-rays
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Krzysztof Maziarz
A. Krason
Z. Wojna
MedIm
97
14
0
28 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer
Visualizing Adapted Knowledge in Domain TransferComputer Vision and Pattern Recognition (CVPR), 2021
Yunzhong Hou
Liang Zheng
315
66
0
20 Apr 2021
Knowledge Distillation as Semiparametric Inference
Knowledge Distillation as Semiparametric InferenceInternational Conference on Learning Representations (ICLR), 2021
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
214
36
0
20 Apr 2021
Learning from Noisy Labels for Entity-Centric Information Extraction
Learning from Noisy Labels for Entity-Centric Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Wenxuan Zhou
Muhao Chen
NoLa
198
70
0
17 Apr 2021
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Théis Bazin
Gaëtan Hadjeres
P. Esling
M. Malt
119
12
0
15 Apr 2021
Detecting Escalation Level from Speech with Transfer Learning and
  Acoustic-Lexical Information Fusion
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion
Ziang Zhou
Yanze Xu
Ming Li
230
1
0
13 Apr 2021
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert
  Annotations
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert AnnotationsInformation Processing in Medical Imaging (IPMI), 2021
Mobarakol Islam
Ben Glocker
UQCV
129
50
0
12 Apr 2021
WHOSe Heritage: Classification of UNESCO World Heritage "Outstanding
  Universal Value" Documents with Soft Labels
WHOSe Heritage: Classification of UNESCO World Heritage "Outstanding Universal Value" Documents with Soft LabelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Nan Bai
Renqian Luo
Pirouz Nourian
A. Roders
134
7
0
12 Apr 2021
Coastline extraction from ALOS-2 satellite SAR images
Coastline extraction from ALOS-2 satellite SAR images
P. Hurtík
M. Vajgl
137
3
0
10 Apr 2021
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of
  Training Data
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training DataIEEE International Conference on Robotics and Automation (ICRA), 2021
Patrick Pfreundschuh
Hubertus Franciscus Cornelis Hendrikx
Victor Reijgwart
Renaud Dubé
Roland Siegwart
Andrei Cramariuc
149
92
0
08 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions
Jennifer J. Sun
Tomomi Karigo
Dipam Chakraborty
Sharada Mohanty
Benjamin Wild
...
Chen Chen
D. Anderson
Pietro Perona
Yisong Yue
Ann Kennedy
441
62
0
06 Apr 2021
Understanding Medical Conversations: Rich Transcription, Confidence
  Scores & Information Extraction
Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information ExtractionInterspeech (Interspeech), 2021
H. Soltau
Mingqiu Wang
Izhak Shafran
Laurent El Shafey
MedImLM&MA
147
13
0
06 Apr 2021
Unsupervised Multi-source Domain Adaptation Without Access to Source
  Data
Unsupervised Multi-source Domain Adaptation Without Access to Source DataComputer Vision and Pattern Recognition (CVPR), 2021
Sk. Miraj Ahmed
Dripta S. Raychaudhuri
S. Paul
Samet Oymak
Amit K. Roy-Chowdhury
177
149
0
05 Apr 2021
Back to Square One: Superhuman Performance in Chutes and Ladders Through
  Deep Neural Networks and Tree Search
Back to Square One: Superhuman Performance in Chutes and Ladders Through Deep Neural Networks and Tree Search
Dylan R. Ashley
Anssi Kanervisto
Brendan Bennett
254
1
0
01 Apr 2021
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An
  Empirical Study
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical StudyInternational Conference on Learning Representations (ICLR), 2021
Zhiqiang Shen
Zechun Liu
Dejia Xu
Zitian Chen
Kwang-Ting Cheng
Marios Savvides
156
81
0
01 Apr 2021
Improving Calibration for Long-Tailed Recognition
Improving Calibration for Long-Tailed RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
287
368
0
01 Apr 2021
Sample size estimation for comparing dynamic treatment regimens in a
  SMART: a Monte Carlo-based approach and case study with longitudinal
  overdispersed count outcomes
Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomesStatistical Methods in Medical Research (Stat Med), 2021
Jamie Yap
John J. Dziak
David Kabiito
Claire Babirye
J. McKay
Bibhas Chakraborty
J. Nakatumba‐Nabende
191
26
0
31 Mar 2021
Learning Domain Adaptation with Model Calibration for Surgical Report
  Generation in Robotic Surgery
Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic SurgeryIEEE International Conference on Robotics and Automation (ICRA), 2021
Mengya Xu
Mobarakol Islam
C. Lim
Hongliang Ren
OODMedIm
104
31
0
31 Mar 2021
Learning Domain Invariant Representations for Generalizable Person
  Re-Identification
Learning Domain Invariant Representations for Generalizable Person Re-IdentificationIEEE Transactions on Image Processing (TIP), 2021
Yi-Fan Zhang
Zhang Zhang
Da Li
Zhen Jia
Liang Wang
Tieniu Tan
OOD
243
51
0
29 Mar 2021
A nonlinear diffusion method for semi-supervised learning on hypergraphs
A nonlinear diffusion method for semi-supervised learning on hypergraphs
Francesco Tudisco
Konstantin Prokopchik
Austin R. Benson
334
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Geometric Affinity Propagation for Clustering with Network Knowledge
Geometric Affinity Propagation for Clustering with Network KnowledgeIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Omar Maddouri
Xiaoning Qian
Byung-Jun Yoon
103
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More Photos are All You Need: Semi-Supervised Learning for Fine-Grained
  Sketch Based Image Retrieval
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image RetrievalComputer Vision and Pattern Recognition (CVPR), 2021
A. Bhunia
Pinaki Nath Chowdhury
Aneeshan Sain
Yongxin Yang
Tao Xiang
Yi-Zhe Song
GANSSL
266
68
0
25 Mar 2021
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