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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 / 988 papers shown
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
RelaxLoss: Defending Membership Inference Attacks without Losing UtilityInternational Conference on Learning Representations (ICLR), 2022
Dingfan Chen
Ning Yu
Mario Fritz
232
56
0
12 Jul 2022
Knowledge Condensation Distillation
Knowledge Condensation DistillationEuropean Conference on Computer Vision (ECCV), 2022
Chenxin Li
Mingbao Lin
Zhiyuan Ding
Nie Lin
Yihong Zhuang
Yue Huang
Xinghao Ding
Liujuan Cao
169
36
0
12 Jul 2022
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Networks
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Networks
Seongjin Park
Haedong Jeong
Tair Djanibekov
Giyoung Jeon
Jinseok Seol
Jaesik Choi
AAML
306
1
0
07 Jul 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and
  Global Context for Speech Recognition and Understanding
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and UnderstandingInternational Conference on Machine Learning (ICML), 2022
Yifan Peng
Siddharth Dalmia
Ian Lane
Shinji Watanabe
271
194
0
06 Jul 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in
  SnakeCLEF 2022
Solutions for Fine-grained and Long-tailed Snake Species Recognition in SnakeCLEF 2022Conference and Labs of the Evaluation Forum (CLEF), 2022
Cheng Zou
Furong Xu
Meng Wang
Wenqi Li
Yuan Cheng
162
6
0
04 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks
PrUE: Distilling Knowledge from Sparse Teacher Networks
Shaopu Wang
Xiaojun Chen
Mengzhen Kou
Jinqiao Shi
317
2
0
03 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator
Eliciting and Learning with Soft Labels from Every AnnotatorAAAI Conference on Human Computation & Crowdsourcing (HCOMP), 2022
Katherine M. Collins
Umang Bhatt
Adrian Weller
414
52
0
02 Jul 2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean
  Label
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean LabelACM Multimedia (ACM MM), 2022
Shengshan Hu
Ziqi Zhou
Yechao Zhang
L. Zhang
Yifeng Zheng
Yuanyuan HE
Hai Jin
AAML
454
53
0
01 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature
  Entropy State
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy StatebioRxiv (bioRxiv), 2022
Xinshao Wang
Yang Hua
Elyor Kodirov
S. Mukherjee
David Clifton
N. Robertson
395
7
0
30 Jun 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility:
  What was Missing?
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?International Conference on Machine Learning (ICML), 2022
Keshigeyan Chandrasegaran
Ngoc-Trung Tran
Yunqing Zhao
Ngai-Man Cheung
291
50
0
29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and
  Out Distribution Robustness
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness
Francesco Pinto
Harry Yang
Ser-Nam Lim
Juil Sock
P. Dokania
UQCV
298
39
0
29 Jun 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and
  Member Models
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member ModelsInternational Conference on Intelligent Computing (ICIC), 2022
Lele Wang
B. Liu
UQCV
355
7
0
29 Jun 2022
Knowledge Distillation of Transformer-based Language Models Revisited
Knowledge Distillation of Transformer-based Language Models Revisited
Chengqiang Lu
Jianwei Zhang
Yunfei Chu
Ruihao Zhang
Jingren Zhou
Leilei Gan
Haiqing Chen
Hongxia Yang
VLM
273
13
0
29 Jun 2022
Uncertainty Calibration for Deep Audio Classifiers
Uncertainty Calibration for Deep Audio ClassifiersInterspeech (Interspeech), 2022
Tong Ye
Shijing Si
Jianzong Wang
Ning Cheng
Jing Xiao
UQCV
163
1
0
27 Jun 2022
Training Your Sparse Neural Network Better with Any Mask
Training Your Sparse Neural Network Better with Any MaskInternational Conference on Machine Learning (ICML), 2022
Ajay Jaiswal
Haoyu Ma
Tianlong Chen
Ying Ding
Zinan Lin
CVBM
310
39
0
26 Jun 2022
Formant Estimation and Tracking using Probabilistic Heat-Maps
Formant Estimation and Tracking using Probabilistic Heat-MapsInterspeech (Interspeech), 2022
Yosi Shrem
Felix Kreuk
Joseph Keshet
92
3
0
23 Jun 2022
A Geometric Method for Improved Uncertainty Estimation in Real-time
A Geometric Method for Improved Uncertainty Estimation in Real-timeConference on Uncertainty in Artificial Intelligence (UAI), 2022
Gabriella Chouraqui
L. Cohen
Gil Einziger
Liel Leman
143
0
0
23 Jun 2022
Demystifying the Base and Novel Performances for Few-shot
  Class-incremental Learning
Demystifying the Base and Novel Performances for Few-shot Class-incremental Learning
Jaehoon Oh
Se-Young Yun
CLL
153
0
0
18 Jun 2022
A Comparative Study of Confidence Calibration in Deep Learning: From
  Computer Vision to Medical Imaging
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Riqiang Gao
Thomas Z. Li
Yucheng Tang
Zhoubing Xu
M. Kammer
S. Antic
K. Sandler
Fabien Maldonado
Thomas A. Lasko
Bennett Landman
OOD
136
6
0
17 Jun 2022
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full
  Synthetic MOCEM data
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data
Benjamin Camus
C. Barbu
Eric Monteux
222
8
0
15 Jun 2022
A Gift from Label Smoothing: Robust Training with Adaptive Label
  Smoothing via Auxiliary Classifier under Label Noise
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label NoiseAAAI Conference on Artificial Intelligence (AAAI), 2022
Jongwoo Ko
Bongsoo Yi
Se-Young Yun
NoLa
236
7
0
15 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Confidence Score for Source-Free Unsupervised Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Jonghyun Lee
Dahuin Jung
Junho Yim
Sung-Hoon Yoon
TTA
220
90
0
14 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference
  Attacks
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference AttacksAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Nuo Xu
Binghui Wang
Ran Ran
Wujie Wen
Parv Venkitasubramaniam
AAML
241
6
0
11 Jun 2022
Memorization-Dilation: Modeling Neural Collapse Under Label Noise
Memorization-Dilation: Modeling Neural Collapse Under Label Noise
Duc Anh Nguyen
Ron Levie
Julian Lienen
Gitta Kutyniok
Eyke Hüllermeier
270
2
0
11 Jun 2022
Fisher SAM: Information Geometry and Sharpness Aware Minimisation
Fisher SAM: Information Geometry and Sharpness Aware MinimisationInternational Conference on Machine Learning (ICML), 2022
Minyoung Kim
Da Li
S. Hu
Timothy M. Hospedales
AAML
304
85
0
10 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less
  Robust Samples
Improving Adversarial Robustness by Putting More Regularizations on Less Robust SamplesInternational Conference on Machine Learning (ICML), 2022
Dongyoon Yang
Insung Kong
Yongdai Kim
OODAAML
336
14
0
07 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesInternational Conference on Machine Learning (ICML), 2022
Haotian Ju
Dongyue Li
Hongyang R. Zhang
440
38
0
06 Jun 2022
On Calibration of Graph Neural Networks for Node Classification
On Calibration of Graph Neural Networks for Node ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2022
Tong Liu
Yushan Liu
Marcel Hildebrandt
Mitchell Joblin
Hang Li
Volker Tresp
223
12
0
03 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions
Adversarial Unlearning: Reducing Confidence Along Adversarial DirectionsNeural Information Processing Systems (NeurIPS), 2022
Amrith Rajagopal Setlur
Benjamin Eysenbach
Virginia Smith
Sergey Levine
203
24
0
03 Jun 2022
Improving the Robustness and Generalization of Deep Neural Network with
  Confidence Threshold Reduction
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAMLOOD
249
1
0
02 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Y. Fu
Haichuan Yang
Jiayi Yuan
Meng Li
Cheng Wan
Raghuraman Krishnamoorthi
Vikas Chandra
Yingyan Lin
361
26
0
02 Jun 2022
Generalized Supervised Contrastive Learning
Generalized Supervised Contrastive Learning
Jaewon Kim
Hyuk-Gi Lee
Jooyoung Chang
S. Park
SSLAILaw
229
3
0
01 Jun 2022
What Knowledge Gets Distilled in Knowledge Distillation?
What Knowledge Gets Distilled in Knowledge Distillation?Neural Information Processing Systems (NeurIPS), 2022
Utkarsh Ojha
Yuheng Li
Anirudh Sundara Rajan
Yingyu Liang
Yong Jae Lee
FedML
253
37
0
31 May 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Christoph Koller
Goran Kauermann
Xiao Xiang Zhu
UQCV
158
6
0
30 May 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised LearningInternational Symposium on Conformal and Probabilistic Prediction with Applications (ISCPPA), 2022
Julian Lienen
Caglar Demir
Eyke Hüllermeier
245
14
0
30 May 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free
  Domain Adaptation
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain AdaptationNeural Networks (NN), 2022
Yuhe Ding
Lijun Sheng
Jian Liang
A. Zheng
Ran He
288
59
0
29 May 2022
MDMLP: Image Classification from Scratch on Small Datasets with MLP
MDMLP: Image Classification from Scratch on Small Datasets with MLP
Tianxu Lv
Chongyang Bai
Chaojie Wang
174
7
0
28 May 2022
Parameter-Efficient and Student-Friendly Knowledge Distillation
Parameter-Efficient and Student-Friendly Knowledge DistillationIEEE transactions on multimedia (IEEE TMM), 2022
Jun Rao
Xv Meng
Liang Ding
Shuhan Qi
Dacheng Tao
240
71
0
28 May 2022
Differentially Private Decoding in Large Language Models
Differentially Private Decoding in Large Language Models
Jimit Majmudar
Christophe Dupuy
Charith Peris
S. Smaili
Rahul Gupta
R. Zemel
195
40
0
26 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data AugmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
208
6
0
25 May 2022
Do we need Label Regularization to Fine-tune Pre-trained Language
  Models?
Do we need Label Regularization to Fine-tune Pre-trained Language Models?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
I. Kobyzev
A. Jafari
Mehdi Rezagholizadeh
Tianda Li
Alan Do-Omri
Peng Lu
Pascal Poupart
A. Ghodsi
207
3
0
25 May 2022
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via
  Multi-level Feature Sharing
CDFKD-MFS: Collaborative Data-free Knowledge Distillation via Multi-level Feature SharingIEEE transactions on multimedia (IEEE TMM), 2022
Zhiwei Hao
Yong Luo
Zhi Wang
Han Hu
J. An
189
38
0
24 May 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under
  Context-Specific Definitions of Reliability
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability
John Kirchenbauer
Jacob Oaks
Eric Heim
UQCV
253
5
0
23 May 2022
Masterful: A Training Platform for Computer Vision Models
Masterful: A Training Platform for Computer Vision Models
S. Wookey
Yaoshiang Ho
Thomas D. Rikert
Juan David Gil Lopez
Juan Manuel Munoz Beancur
...
Ray Tawil
Aaron Sabin
Jack Lynch
Travis Harper
Nikhil Gajendrakumar
VLM
105
1
0
21 May 2022
Learning from Bootstrapping and Stepwise Reinforcement Reward: A
  Semi-Supervised Framework for Text Style Transfer
Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer
Zhengyuan Liu
Nancy F. Chen
131
2
0
19 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit NormalizationInternational Conference on Machine Learning (ICML), 2022
Jianguo Huang
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Shouqing Yang
OODD
621
347
0
19 May 2022
DNNR: Differential Nearest Neighbors Regression
DNNR: Differential Nearest Neighbors RegressionInternational Conference on Machine Learning (ICML), 2022
Youssef Nader
Leon Sixt
Tim Landgraf
524
17
0
17 May 2022
Exploring the Learning Difficulty of Data Theory and Measure
Exploring the Learning Difficulty of Data Theory and MeasureACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Weiyao Zhu
Ou Wu
Fengguang Su
Yingjun Deng
241
9
0
16 May 2022
Kronecker Decomposition for Knowledge Graph Embeddings
Kronecker Decomposition for Knowledge Graph EmbeddingsACM Conference on Hypertext & Social Media (HT), 2022
Caglar Demir
Julian Lienen
A. N. Ngomo
209
3
0
13 May 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity
  Forecasting
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
IV WilliamH.Clark
Alan J. Michaels
198
2
0
07 May 2022
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