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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 / 982 papers shown
Title
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Huisoo Lee
Jisu Han
Hyunsouk Cho
Wonjun Hwang
TTAVLMAI4CE
150
0
0
24 Nov 2025
Adaptive Multi-Scale Integration Unlocks Robust Cell Annotation in Histopathology Images
Adaptive Multi-Scale Integration Unlocks Robust Cell Annotation in Histopathology Images
Yinuo Xu
Yan Cui
Mingyao Li
Zhi Huang
63
0
0
17 Nov 2025
Advancements in synthetic data extraction for industrial injection molding
Advancements in synthetic data extraction for industrial injection moldingPortuguese Conference on Artificial Intelligence (EPIA), 2025
Georg Rottenwalter
Marcel Tilly
Christian Bielenberg
Katharina Obermeier
AI4CE
56
0
0
11 Nov 2025
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
Diagnose Like A REAL Pathologist: An Uncertainty-Focused Approach for Trustworthy Multi-Resolution Multiple Instance Learning
Sungrae Hong
Sol Lee
Jisu Shin
Mun Yi
122
0
0
09 Nov 2025
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective
Chenwang Wu
Yiu-ming Cheung
Bo Han
Defu Lian
DeLMO
132
0
0
02 Nov 2025
Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
Kushan Choudhury
Shubhrodeep Roy
Ankur Chanda
Shubhajit Biswas
Somenath Kuiry
52
0
0
22 Oct 2025
Revisiting Knowledge Distillation: The Hidden Role of Dataset Size
Revisiting Knowledge Distillation: The Hidden Role of Dataset Size
Giulia Lanzillotta
Felix Sarnthein
Gil Kur
Thomas Hofmann
Bobby He
91
0
0
17 Oct 2025
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Daniel Pulido-Cortázar
Daniel Gibert
Felip Manyà
AAML
60
0
0
14 Oct 2025
Automatic Speech Recognition in the Modern Era: Architectures, Training, and Evaluation
Automatic Speech Recognition in the Modern Era: Architectures, Training, and Evaluation
Md. Nayeem
Md Shamse Tabrej
Kabbojit Jit Deb
Shaonti Goswami
Md. Azizul Hakim
AI4TSVLM
60
2
0
11 Oct 2025
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
Cornelius Schröder
Marius-Raphael Schlüter
Markus Lienkamp
104
0
0
02 Oct 2025
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
Xiaoyang Cao
Zelai Xu
Mo Guang
Kaiwen Long
Michiel A. Bakker
Yu Wang
Chao Yu
57
0
0
29 Sep 2025
On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations
Jianing Guo
Z. Wu
Chang Tu
Yiyao Ma
Xiangqi Kong
...
Qi Dou
Yaodong Yang
Huijie Zhao
Weifeng Lv
Simin Li
AAMLVLM
160
1
0
26 Sep 2025
LiLAW: Lightweight Learnable Adaptive Weighting to Meta-Learn Sample Difficulty and Improve Noisy Training
LiLAW: Lightweight Learnable Adaptive Weighting to Meta-Learn Sample Difficulty and Improve Noisy Training
Abhishek Moturu
Anna Goldenberg
Babak Taati
NoLa
176
0
0
25 Sep 2025
Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility
Disproving the Feasibility of Learned Confidence Calibration Under Binary Supervision: An Information-Theoretic Impossibility
Arjun S. Nair
Kristina P. Sinaga
64
0
0
17 Sep 2025
iCD: A Implicit Clustering Distillation Mathod for Structural Information Mining
iCD: A Implicit Clustering Distillation Mathod for Structural Information Mining
Xiang Xue
Yatu Ji
Qing-dao-er-ji Ren
Bao Shi
Min Lu
Nier Wu
Xufei Zhuang
Haiteng Xu
Gan-qi-qi-ge Cha
94
0
0
16 Sep 2025
AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
Ismail Hossain
Sai Puppala
Sajedul Talukder
Md. jahangir Alam
164
0
0
04 Sep 2025
Insights from Gradient Dynamics: Gradient Autoscaled Normalization
Insights from Gradient Dynamics: Gradient Autoscaled Normalization
Vincent-Daniel Yun
154
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0
03 Sep 2025
Weakly Supervised Medical Entity Extraction and Linking for Chief Complaints
Weakly Supervised Medical Entity Extraction and Linking for Chief Complaints
Zhimeng Luo
Zhendong Wang
Rui Meng
Diyang Xue
Adam Frisch
Daqing He
60
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0
02 Sep 2025
AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern Recognition
AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern Recognition
Jiayu Xiong
Jun Xue
Jianlong Kwan
Jing Wang
65
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0
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From Discord to Harmony: Decomposed Consonance-based Training for Improved Audio Chord Estimation
Andrea Poltronieri
Xavier Serra
Martín Rocamora
88
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0
01 Sep 2025
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
Yiming Lin
Yuchen Niu
Shang Wang
K. Huang
Qiufeng Wang
Xiao-Bo Jin
96
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0
29 Aug 2025
Gradient Rectification for Robust Calibration under Distribution Shift
Gradient Rectification for Robust Calibration under Distribution Shift
Yilin Zhang
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Ziyu Guan
Wei Zhao
140
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Alternating Training-based Label Smoothing Enhances Prompt Generalization
Alternating Training-based Label Smoothing Enhances Prompt Generalization
Yang Chen
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Ke Jin
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James T. Kwok
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VLM
157
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Convergence and Generalization of Anti-Regularization for Parametric Models
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Dongseok Kim
Wonjun Jeong
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153
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0
24 Aug 2025
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
S. Chhabra
Hemanth Venkateswara
Baoxin Li
68
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0
22 Aug 2025
Heatmap Regression without Soft-Argmax for Facial Landmark Detection
Heatmap Regression without Soft-Argmax for Facial Landmark Detection
Chiao-An Yang
Raymond A. Yeh
CVBM3DH
200
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19 Aug 2025
A dataset and model for recognition of audiologically relevant environments for hearing aids: AHEAD-DS and YAMNet+
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Henry Zhong
Jörg M. Buchholz
Julian Maclaren
Simon Carlile
Richard F. Lyon
118
0
0
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Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking
Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking
Jiani Ni
He Zhao
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Dandan Guo
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72
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12 Aug 2025
Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers
Calibration Attention: Instance-wise Temperature Scaling for Vision Transformers
Wenhao Liang
Wei Emma Zhang
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L. Yao
108
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12 Aug 2025
Label Smoothing is a Pragmatic Information Bottleneck
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Sota Kudo
83
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Separation and Collaboration: Two-Level Routing Grouped Mixture-of-Experts for Multi-Domain Continual Learning
Separation and Collaboration: Two-Level Routing Grouped Mixture-of-Experts for Multi-Domain Continual Learning
Jialu Zhou
Dianxi Shi
Shaowu Yang
Xinyu Wei
Mingyue Yang
Leqian Li
Mengzhu Wang
Chunping Qiu
CLLMoE
167
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MDD-Net: Multimodal Depression Detection through Mutual Transformer
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Md Rezwanul Haque
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Lobna Nassar
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Noise-Aware Generative Microscopic Traffic Simulation
Noise-Aware Generative Microscopic Traffic Simulation
Vindula Jayawardana
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100
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OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
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DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
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Calibrated Language Models and How to Find Them with Label Smoothing
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CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning
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Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes
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Semantic-Aware Gaussian Process Calibration with Structured Layerwise Kernels for Deep Neural Networks
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Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment
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GRAM: A Generative Foundation Reward Model for Reward Generalization
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Yang Gan
Yifu Huo
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226
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Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
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Yubo Zhou
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Junmin Liu
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Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
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Lars Grüne
Wojciech Samek
Sebastian Lapuschkin
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Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction
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FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding
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