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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
Robust Calibration of Large Vision-Language Adapters
Robust Calibration of Large Vision-Language Adapters
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
OODDVLM
320
21
0
18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the
  Wild Dataset
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset
Mijoo Kim
Junseok Kwon
UQCV
169
3
0
17 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base
  Models for Vision Tasks
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang
S. Nirjon
158
2
0
13 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
407
8
0
13 Jul 2024
Bayesian Detector Combination for Object Detection with Crowdsourced
  Annotations
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
Zhi Qin Tan
Olga Isupova
Gustavo Carneiro
Xiatian Zhu
Yunpeng Li
ObjD
197
1
0
10 Jul 2024
Dynamic Correlation Learning and Regularization for Multi-Label
  Confidence Calibration
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
Tianshui Chen
Weihang Wang
Tao Pu
Jinghui Qin
Zhijing Yang
Jie Liu
Liang Lin
200
19
0
09 Jul 2024
AMD: Automatic Multi-step Distillation of Large-scale Vision Models
AMD: Automatic Multi-step Distillation of Large-scale Vision Models
Cheng Han
Qifan Wang
S. Dianat
Majid Rabbani
Raghuveer M. Rao
Yi Fang
Qiang Guan
Lifu Huang
Dongfang Liu
VLM
208
13
0
05 Jul 2024
Efficient Training of Language Models with Compact and Consistent Next
  Token Distributions
Efficient Training of Language Models with Compact and Consistent Next Token Distributions
Ashutosh Sathe
Sunita Sarawagi
205
0
0
03 Jul 2024
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically
  Aware Label Smoothing
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
Pooya Fayyazsanavi
Antonios Anastasopoulos
Jana Kosecka
SLR
216
4
0
01 Jul 2024
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge
  Distillation
InFiConD: Interactive No-code Fine-tuning with Concept-based Knowledge Distillation
Jinbin Huang
Wenbin He
Liang Gou
Liu Ren
Chris Bryan
359
0
0
25 Jun 2024
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment
  Distributions on NLI from a Few Explanations?
"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Beiduo Chen
Xinpeng Wang
Siyao Peng
Robert Litschko
Anna Korhonen
Barbara Plank
250
17
0
25 Jun 2024
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis
Md. Saiful Islam
Tariq Adnan
Jan Freyberg
Sangwu Lee
Abdelrahman Abdelkader
...
Cathe Schwartz
Karen Jaffe
Ruth B. Schneider
E. R. Dorsey
Ehsan Hoque
305
6
0
21 Jun 2024
Online Anchor-based Training for Image Classification Tasks
Online Anchor-based Training for Image Classification TasksInternational Conference on Information Photonics (ICIP), 2024
Maria Tzelepi
Vasileios Mezaris
218
0
0
18 Jun 2024
Just How Flexible are Neural Networks in Practice?
Just How Flexible are Neural Networks in Practice?
Ravid Shwartz-Ziv
Micah Goldblum
Arpit Bansal
C. Bayan Bruss
Yann LeCun
Andrew Gordon Wilson
288
7
0
17 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation
A Label is Worth a Thousand Images in Dataset DistillationNeural Information Processing Systems (NeurIPS), 2024
Tian Qin
Zhiwei Deng
David Alvarez-Melis
DD
453
24
0
15 Jun 2024
On the Evaluation of Speech Foundation Models for Spoken Language
  Understanding
On the Evaluation of Speech Foundation Models for Spoken Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Siddhant Arora
Ankita Pasad
Chung-Ming Chien
Jionghao Han
Roshan S. Sharma
...
William Chen
Suwon Shon
Hung-yi Lee
Karen Livescu
Shinji Watanabe
ELM
241
12
0
14 Jun 2024
Self-Knowledge Distillation for Learning Ambiguity
Self-Knowledge Distillation for Learning Ambiguity
Hancheol Park
Soyeong Jeong
Sukmin Cho
Jong C. Park
180
2
0
14 Jun 2024
Label Smoothing Improves Machine Unlearning
Label Smoothing Improves Machine Unlearning
Zonglin Di
Zhaowei Zhu
Jinghan Jia
Jiancheng Liu
Zafar Takhirov
Wanrong Zhang
Yuanshun Yao
Sijia Liu
Yang Liu
198
7
0
11 Jun 2024
Uncertainty Aware Learning for Language Model Alignment
Uncertainty Aware Learning for Language Model AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Yikun Wang
Rui Zheng
Liang Ding
Qi Zhang
Dahua Lin
Dacheng Tao
268
9
0
07 Jun 2024
Predictive Dynamic Fusion
Predictive Dynamic FusionInternational Conference on Machine Learning (ICML), 2024
Bing Cao
Yinan Xia
Yi Ding
Changqing Zhang
Qinghua Hu
277
23
0
07 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
336
4
0
06 Jun 2024
Decoupling of neural network calibration measures
Decoupling of neural network calibration measures
D. Wolf
Prasannavenkatesh Balaji
Alexander Braun
Markus Ulrich
UQCV
438
5
0
04 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with
  Temporal Imputation
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Ruibing Jin
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTAAI4TS
394
3
0
04 Jun 2024
Navigating Conflicting Views: Harnessing Trust for Learning
Navigating Conflicting Views: Harnessing Trust for Learning
Jueqing Lu
Lan Du
Wray Buntine
M. Jung
Joanna Dipnall
Lan Du
561
3
0
03 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
404
11
0
03 Jun 2024
Adapting Fine-Grained Cross-View Localization to Areas without Fine
  Ground Truth
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia
Yujiao Shi
Hongdong Li
Julian F. P. Kooij
268
12
0
01 Jun 2024
Posterior Label Smoothing for Node Classification
Posterior Label Smoothing for Node Classification
Jaeseung Heo
M. Park
Dongwoo Kim
UQCV
554
0
0
01 Jun 2024
Accurate and Reliable Predictions with Mutual-Transport Ensemble
Accurate and Reliable Predictions with Mutual-Transport Ensemble
Han Liu
Peng Cui
Bingning Wang
Jun Zhu
Xiaolin Hu
UQCV
140
0
0
30 May 2024
Learning Latent Graph Structures and their Uncertainty
Learning Latent Graph Structures and their Uncertainty
A. Manenti
Daniele Zambon
Cesare Alippi
BDL
363
2
0
30 May 2024
Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Pretrained Mobility Transformer: A Foundation Model for Human Mobility
Xinhua Wu
Haoyu He
Yanchao Wang
Qi Wang
170
7
0
29 May 2024
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification
Xun Guo
Yiheng Deng
Yunfeng Yan
Feng Zhu
Yizhou Wang
Mengwei He
Qingsong Xie
Donglian Qi
Wanli Ouyang
Weizhen He
507
6
0
28 May 2024
PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes
PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes
Tomohiro Hayase
Braun Sacha
Hikari Yanagawa
Itsuki Orito
Yuichi Hiroi
3DPC
293
0
0
27 May 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
270
3
0
26 May 2024
Better Membership Inference Privacy Measurement through Discrepancy
Better Membership Inference Privacy Measurement through Discrepancy
Ruihan Wu
Pengrun Huang
Kamalika Chaudhuri
MIACV
297
1
0
24 May 2024
Improving Single Domain-Generalized Object Detection: A Focus on
  Diversification and Alignment
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and AlignmentComputer Vision and Pattern Recognition (CVPR), 2024
M. S. Danish
Muhammad Haris Khan
Muhammad Akhtar Munir
M. Sarfraz
Mohsen Ali
ObjD
215
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23 May 2024
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch
Wen-Shu Fan
Xin-Chun Li
Bowen Tao
315
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0
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Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised
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Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
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Tong Wei
251
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InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images
InfRS: Incremental Few-Shot Object Detection in Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Wuzhou Li
Jiawei Zhou
Xiang Li
Yi Cao
Guanglu Jin
Xuemin Zhang
341
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18 May 2024
The Pitfalls and Promise of Conformal Inference Under Adversarial
  Attacks
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksInternational Conference on Machine Learning (ICML), 2024
Ziquan Liu
Yufei Cui
Yan Yan
Yi Tian Xu
Xiangyang Ji
Xue Liu
Antoni B. Chan
AAML
262
8
0
14 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
Shenghe Zheng
Hongzhi Wang
Xianglong Liu
259
6
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Machine Unlearning for Document Classification
Machine Unlearning for Document Classification
Lei Kang
Mohamed Ali Souibgui
Fei Yang
Lluís Gómez
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Dimosthenis Karatzas
MUAILaw
210
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0
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Center-Based Relaxed Learning Against Membership Inference Attacks
Center-Based Relaxed Learning Against Membership Inference Attacks
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Jung-Eun Kim
293
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26 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
306
5
0
24 Apr 2024
Annotator-Centric Active Learning for Subjective NLP Tasks
Annotator-Centric Active Learning for Subjective NLP Tasks
Michiel van der Meer
Neele Falk
P. Murukannaiah
Enrico Liscio
486
17
0
24 Apr 2024
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
Fin Amin
Jung-Eun Kim
323
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0
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Uncertainty Quantification on Graph Learning: A Survey
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Chao Chen
Chenghua Guo
Rui Xu
Xiangwen Liao
Xi Zhang
Sihong Xie
Hui Xiong
Mohit Bansal
AI4CE
406
2
0
23 Apr 2024
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language
  Learning
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
Yanhui Guo
Shaoyuan Xu
Jinmiao Fu
Jia-Wei Liu
Chaosheng Dong
Bryan Wang
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Towards noise contrastive estimation with soft targets for conditional
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Towards noise contrastive estimation with soft targets for conditional models
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276
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Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
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Margret Keuper
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Evolving Loss Functions for Specific Image Augmentation Techniques
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Dean Frederick Hougen
211
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