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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
Kernel Interpolation as a Bayes Point Machine
Kernel Interpolation as a Bayes Point Machine
Jeremy Bernstein
Alexander R. Farhang
Yisong Yue
BDL
237
4
0
08 Oct 2021
An Investigation of the Effectiveness of Phase for Audio Classification
An Investigation of the Effectiveness of Phase for Audio Classification
Shunsuke Hidaka
Kohei Wakamiya
T. Kaburagi
131
6
0
06 Oct 2021
Word-level confidence estimation for RNN transducers
Word-level confidence estimation for RNN transducers
Mingqiu Wang
H. Soltau
Laurent El Shafey
Izhak Shafran
UQCV
163
7
0
28 Sep 2021
Improving Uncertainty of Deep Learning-based Object Classification on
  Radar Spectra using Label Smoothing
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
Kanil Patel
William H. Beluch
K. Rambach
Michael Pfeiffer
B. Yang
UQCV
213
9
0
27 Sep 2021
ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural
  Network for Reliable Intelligence Identification on Vietnamese SNSs
ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs
Hoang Viet Trinh
Tung Tien Bui
Tam Minh Nguyen
Huy Quang Dao
Quang Huu Pham
Ngoc N. Tran
Ta Minh Thanh
131
1
0
27 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision
WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang
Yue Yu
Yinghao Li
Yujing Wang
Yaming Yang
Mao Yang
Alexander Ratner
249
119
0
23 Sep 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer
The Unreasonable Effectiveness of the Final Batch Normalization Layer
Veysel Kocaman
O. M. Shir
T. Baeck
165
1
0
18 Sep 2021
NORESQA: A Framework for Speech Quality Assessment using Non-Matching
  References
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha
Buye Xu
Anurag Kumar
248
57
0
16 Sep 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning
  to Segment Driveability in Egocentric Images
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSegEgoV
159
17
0
15 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
407
62
0
13 Sep 2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Mobarakol Islam
Lalithkumar Seenivasan
Hongliang Ren
Ben Glocker
159
20
0
11 Sep 2021
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingInternational Conference on Computational Linguistics (COLING), 2021
Xing Wu
Chaochen Gao
Liangjun Zang
Jizhong Han
Zhongyuan Wang
Songlin Hu
SSLAILaw
242
28
0
09 Sep 2021
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual
  Categorization
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual CategorizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
M. Gwilliam
Adam Teuscher
Connor Anderson
Ryan Farrell
166
14
1
07 Sep 2021
Sequential Attention Module for Natural Language Processing
Sequential Attention Module for Natural Language Processing
Mengyuan Zhou
Jian Ma
Haiqing Yang
Lian-Xin Jiang
Yang Mo
AI4TS
88
2
0
07 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
629
896
0
04 Sep 2021
On-target Adaptation
On-target Adaptation
Yi Xu
Shaoteng Liu
Sayna Ebrahimi
Evan Shelhamer
Trevor Darrell
TTA
228
20
0
02 Sep 2021
Chi-square Loss for Softmax: an Echo of Neural Network Structure
Chi-square Loss for Softmax: an Echo of Neural Network Structure
Zeyu Wang
Meiqin Wang
UQCV
52
1
0
31 Aug 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Adaptive Label Smoothing To Regularize Large-Scale Graph TrainingSDM (SDM), 2021
Kaixiong Zhou
Ninghao Liu
Fan Yang
Zirui Liu
Rui Chen
Li Li
Soo-Hyun Choi
Helen Zhou
AI4CE
152
23
0
30 Aug 2021
Compact representations of convolutional neural networks via weight
  pruning and quantization
Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò
A. Petrini
D. Malchiodi
Marco Frasca
MQ
103
4
0
28 Aug 2021
Learning to Give Checkable Answers with Prover-Verifier Games
Learning to Give Checkable Answers with Prover-Verifier Games
Cem Anil
Guodong Zhang
Yuhuai Wu
Roger C. Grosse
228
19
0
27 Aug 2021
When and how epochwise double descent happens
When and how epochwise double descent happens
Cory Stephenson
Tyler Lee
185
19
0
26 Aug 2021
Re-using Adversarial Mask Discriminators for Test-time Training under
  Distribution Shifts
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution ShiftsMachine Learning for Biomedical Imaging (MLBI), 2021
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
423
7
0
26 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time
  Training
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
TTA
273
9
0
26 Aug 2021
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Shifted Chunk Transformer for Spatio-Temporal Representational LearningNeural Information Processing Systems (NeurIPS), 2021
Xuefan Zha
Wentao Zhu
Tingxun Lv
Sen Yang
Ji Liu
AI4TSViT
294
30
0
26 Aug 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with
  Uncertainty Estimates
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty EstimatesIEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2021
Luigi Fiorillo
Paolo Favaro
F. Faraci
245
94
0
24 Aug 2021
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
3D High-Fidelity Mask Face Presentation Attack Detection Challenge
Ajian Liu
Chenxu Zhao
Zitong Yu
Anyang Su
Xing Liu
...
Jun Wan
Sergio Escalera
Hugo Jair Escalante
Zhen Lei
G. Guo
CVBM
181
39
0
16 Aug 2021
On Multi-Modal Learning of Editing Source Code
On Multi-Modal Learning of Editing Source Code
Saikat Chakraborty
Baishakhi Ray
KELM
206
67
0
15 Aug 2021
Learning from Matured Dumb Teacher for Fine Generalization
Learning from Matured Dumb Teacher for Fine Generalization
Heeseung Jung
Kangil Kim
Hoyong Kim
Jong-Hun Shin
173
2
0
12 Aug 2021
Deep Joint Learning of Pathological Region Localization and Alzheimer's
  Disease Diagnosis
Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis
Changhyun Park
Heung-Il Suk
132
4
0
10 Aug 2021
Soft Calibration Objectives for Neural Networks
Soft Calibration Objectives for Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
A. Karandikar
Nicholas Cain
Dustin Tran
Balaji Lakshminarayanan
Jonathon Shlens
Michael C. Mozer
Becca Roelofs
UQCV
429
104
0
30 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot
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Automated Human Cell Classification in Sparse Datasets using Few-Shot LearningScientific Reports (Sci Rep), 2021
Reece Walsh
Mohamed H. Abdelpakey
M. Shehata
Mostafa M. Mohamed
3DH
212
21
0
27 Jul 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Energy-Based Open-World Uncertainty Modeling for Confidence CalibrationIEEE International Conference on Computer Vision (ICCV), 2021
Yezhen Wang
Yue Liu
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
284
65
0
27 Jul 2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent
  Unsupervised Domain Adaptation
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation
Song Tang
Yan Yang
Zhiyuan Ma
Norman Hendrich
Fanyu Zeng
Shiwei Gan
Changshui Zhang
Jianwei Zhang
OOD
291
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0
27 Jul 2021
Class-Incremental Domain Adaptation with Smoothing and Calibration for
  Surgical Report Generation
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report GenerationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Mengya Xu
Mobarakol Islam
C. Lim
Hongliang Ren
MedIm
158
32
0
23 Jul 2021
Iterative Distillation for Better Uncertainty Estimates in Multitask
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Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognition
Didan Deng
Liang Wu
Bertram E. Shi
116
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0
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kNet: A Deep kNN Network To Handle Label Noise
kNet: A Deep kNN Network To Handle Label Noise
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NoLa
143
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Learning ULMFiT and Self-Distillation with Calibration for Medical
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Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue SystemInternational Conference on Natural Language and Speech Processing (ICNLSP), 2021
Shuang Ao
Xeno Acharya
143
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0
20 Jul 2021
GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar
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GenRadar: Self-supervised Probabilistic Camera Synthesis based on Radar FrequenciesIEEE Access (IEEE Access), 2021
Carsten Ditzel
Klaus C. J. Dietmayer
157
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0
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Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain
  Adaptation
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
327
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0
13 Jul 2021
Automated Learning Rate Scheduler for Large-batch Training
Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim
Saehoon Kim
Jongmin Kim
Donghoon Lee
Sungwoong Kim
138
22
0
13 Jul 2021
Weakly-Supervised Classification and Detection of Bird Sounds in the
  Wild. A BirdCLEF 2021 Solution
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 SolutionConference and Labs of the Evaluation Forum (CLEF), 2021
Marcos V. Conde
K. Shubham
Prateek Agnihotri
N. D. Movva
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122
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0
10 Jul 2021
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
R. Miron
Cosmin Moisii
Sergiu-Andrei Dinu
Mihaela Breaban
138
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10 Jul 2021
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDLUQCVOOD
549
1,496
0
07 Jul 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for
  Medical Image Classification
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Xiaohan Xing
Yuenan Hou
Han Li
Yixuan Yuan
Jiaming Song
Max Meng
VLM
135
46
0
07 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
456
421
0
07 Jul 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized
  Knowledge Distillation
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang
Haoliang Li
Lap-pui Chau
Alex C. Kot
FedML
138
52
0
06 Jul 2021
A Light-weight Deep Human Activity Recognition Algorithm Using
  Multi-knowledge Distillation
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation
Runze Chen
Haiyong Luo
Fang Zhao
Xuechun Meng
Zhiqing Xie
Yida Zhu
VLMHAI
156
4
0
06 Jul 2021
Relaxed Attention: A Simple Method to Boost Performance of End-to-End
  Automatic Speech Recognition
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition
Timo Lohrenz
P. Schwarz
Zhengyang Li
Tim Fingscheidt
151
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Mixed Cross Entropy Loss for Neural Machine Translation
Mixed Cross Entropy Loss for Neural Machine TranslationInternational Conference on Machine Learning (ICML), 2021
Haoran Li
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193
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SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature CorruptionInternational Conference on Learning Representations (ICLR), 2021
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Heinrich Jiang
Yi Tay
Donald Metzler
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233
216
0
29 Jun 2021
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