Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.12562
Cited By
v1
v2 (latest)
Delving Deep into Label Smoothing
IEEE Transactions on Image Processing (TIP), 2020
25 November 2020
Chang-Bin Zhang
Peng-Tao Jiang
Qibin Hou
Yunchao Wei
Qi Han
Zhen Li
Ming-Ming Cheng
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Delving Deep into Label Smoothing"
50 / 84 papers shown
Improving Sparse IMU-based Motion Capture with Motion Label Smoothing
Zhaorui Meng
Lu Yin
Yangqing Hou
Anjun Chen
Shihui Guo
Yipeng Qin
80
0
0
27 Nov 2025
Improving Predictive Confidence in Medical Imaging via Online Label Smoothing
Kushan Choudhury
Shubhrodeep Roy
Ankur Chanda
Shubhajit Biswas
Somenath Kuiry
145
0
0
22 Oct 2025
Alternating Training-based Label Smoothing Enhances Prompt Generalization
Yang Chen
Yanbin Wei
Ke Jin
Yi Kong
James T. Kwok
Yu Zhang
VLM
276
0
0
25 Aug 2025
Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
S. Chhabra
Hemanth Venkateswara
Baoxin Li
138
0
0
22 Aug 2025
Label Smoothing is a Pragmatic Information Bottleneck
Sota Kudo
156
0
0
12 Aug 2025
Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling
Aarav Mehta
Priya Deshmukh
Vikram Singh
Siddharth Malhotra
Krishnan Menon Iyer
Tanvi Iyer
MedIm
347
0
0
09 Aug 2025
VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
Ayaan Nooruddin Siddiqui
Mahnoor Zaidi
Ayesha Nazneen Shahbaz
Priyadarshini Chatterjee
Krishnan Menon Iyer
314
0
0
09 Aug 2025
DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation
Vikram Singh
Kabir Malhotra
Rohan Desai
Ananya Shankaracharya
Priyadarshini Chatterjee
Krishnan Menon Iyer
MedIm
400
0
0
09 Aug 2025
Deeply Dual Supervised learning for melanoma recognition
Rujosh Polma
Krishnan Menon Iyer
278
0
0
04 Aug 2025
Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
Georg Siedel
Ekagra Gupta
Weijia Shao
S. Vock
Andrey Morozov
206
0
0
22 Jul 2025
Intra-class Patch Swap for Self-Distillation
Hongjun Choi
Eun Som Jeon
Ankita Shukla
Pavan Turaga
326
0
0
20 May 2025
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction
Fei Liu
Huanhuan Ren
Yu Guan
Xiuxu Wang
Wang Lv
Zhiqiang Hu
Yihao Chen
285
0
0
12 May 2025
Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
Tatsuhito Hasegawa
Shunsuke Sakai
355
1
0
22 Apr 2025
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
Junji Lin
Yi Zhang
Yunyue Pan
Yuli Chen
Chengchang Pan
Honggang Qi
277
1
0
27 Feb 2025
MaxSup: Overcoming Representation Collapse in Label Smoothing
Yuxuan Zhou
Heng Li
Zhi-Qi Cheng
Xudong Yan
Yifei Dong
Mario Fritz
Margret Keuper
574
0
0
18 Feb 2025
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
Neural Information Processing Systems (NeurIPS), 2024
Jianyi Zhang
Da-Cheng Juan
Cyrus Rashtchian
Chun-Sung Ferng
Heinrich Jiang
Yiran Chen
453
14
0
01 Nov 2024
AffectNet+: A Database for Enhancing Facial Expression Recognition with Soft-Labels
A. P. Fard
Mohammad Mehdi Hosseini
Timothy D. Sweeny
Mohammad H. Mahoor
251
12
0
29 Oct 2024
LLMD: A Large Language Model for Interpreting Longitudinal Medical Records
Robert Porter
Adam Diehl
Benjamin Pastel
J. Henry Hinnefeld
Lawson Nerenberg
Pye Maung
Sebastien Kerbrat
Gillian Hanson
Troy Astorino
Stephen J. Tarsa
LM&MA
67
5
0
11 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection
Mingle Xu
Jaehwan Lee
Sook Yoon
D. Park
OODD
263
3
0
08 Oct 2024
Lesion-aware network for diabetic retinopathy diagnosis
Xue Xia
Kun Zhan
Yuming Fang
Wenhui Jiang
Fei Shen
MedIm
123
6
0
14 Aug 2024
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
British Machine Vision Conference (BMVC), 2024
Sungmin Kang
Jaeha Song
Jihie Kim
MedIm
343
2
0
01 Aug 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
Hongfei Huang
Tingting Liang
Xixi Sun
Zikang Jin
Yuyu Yin
NoLa
318
1
0
09 Jul 2024
Exploration of Class Center for Fine-Grained Visual Classification
Hang Yao
Qiguang Miao
Peipei Zhao
Chaoneng Li
Xin Li
Guanwen Feng
Ruyi Liu
VLM
280
20
0
05 Jul 2024
Online Anchor-based Training for Image Classification Tasks
International Conference on Information Photonics (ICIP), 2024
Maria Tzelepi
Vasileios Mezaris
269
0
0
18 Jun 2024
ICGAN: An implicit conditioning method for interpretable feature control of neural audio synthesis
Yunyi Liu
Craig Jin
209
0
0
11 Jun 2024
Posterior Label Smoothing for Node Classification
Jaeseung Heo
M. Park
Dongwoo Kim
UQCV
681
0
0
01 Jun 2024
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
Matthew Squires
Xiaohui Tao
Soman Elangovan
Rajendra Acharya
R. Gururajan
Haoran Xie
Xujuan Zhou
AI4MH
176
2
0
09 May 2024
The Over-Certainty Phenomenon in Modern Test-Time Adaptation Algorithms
Fin Amin
Jung-Eun Kim
396
0
0
24 Apr 2024
Noisy Label Processing for Classification: A Survey
Mengting Li
Chuang Zhu
NoLa
410
13
0
05 Apr 2024
Group Benefits Instances Selection for Data Purification
Zhenhuang Cai
Chuanyi Zhang
Dan Huang
Yuanbo Chen
Xiuyun Guan
Yazhou Yao
NoLa
314
0
0
23 Mar 2024
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images
Somenath Kuiry
Alaka Das
M. Nasipuri
N. Das
198
2
0
16 Mar 2024
Layer-wise Regularized Dropout for Neural Language Models
Shiwen Ni
Min Yang
Ruifeng Xu
Chengming Li
Xiping Hu
148
1
0
26 Feb 2024
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
International Symposium on Information Theory (ISIT), 2024
Minoh Jeong
Martina Cardone
Alex Dytso
269
3
0
27 Jan 2024
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data
Artificial Intelligence for the Earth Systems (AI4ES), 2024
Mark S. Veillette
J. Kurdzo
P. M. Stepanian
John Y. N. Cho
S. Samsi
Joseph McDonald
182
10
0
26 Jan 2024
Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition
International Conference on Artificial Neural Networks (ICANN), 2023
Yuqing Wang
Zhenyu Weng
Zhaokun Zhou
Shuaijian Ji
Zhongjie Ye
Yuesheng Zhu
216
2
0
14 Dec 2023
Regroup Median Loss for Combating Label Noise
Fengpeng Li
Kemou Li
Jinyu Tian
Jiantao Zhou
NoLa
297
19
0
11 Dec 2023
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Neural Information Processing Systems (NeurIPS), 2023
Changdae Oh
Hyesu Lim
Mijoo Kim
Dongyoon Han
Junhyeok Park
Euiseog Jeong
Alexander G. Hauptmann
Zhi-Qi Cheng
Kyungwoo Song
VLM
793
40
0
03 Nov 2023
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
374
7
0
25 Oct 2023
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Cong Duan
Zixuan Liu
Jiahao Xia
Minghai Zhang
Jiacai Liao
Libo Cao
433
7
0
08 Oct 2023
Semantic-embedded Similarity Prototype for Scene Recognition
Pattern Recognition (Pattern Recogn.), 2023
Chuanxin Song
Hanbo Wu
X. Ma
Yibin Li
418
5
0
11 Aug 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation
IEEE International Conference on Computer Vision (ICCV), 2023
Jiawei Liu
Changkun Ye
Shanpeng Wang
Rui-Qing Cui
Jing Zhang
Kai Zhang
Nick Barnes
374
7
0
25 Jul 2023
Improving Deep Representation Learning via Auxiliary Learnable Target Coding
Pattern Recognition (Pattern Recogn.), 2023
Kang Liu
Ke Chen
Yaowei Wang
Kui Jia
300
3
0
30 May 2023
Lightweight Self-Knowledge Distillation with Multi-source Information Fusion
Xucong Wang
Pengchao Han
Lei Guo
225
1
0
16 May 2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing
Pattern Recognition (Pattern Recogn.), 2023
Songling Zhu
Ronghua Shang
Bo Yuan
Weitong Zhang
Yangyang Li
Licheng Jiao
205
14
0
09 May 2023
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels
IEEE International Conference on Computer Vision (ICCV), 2023
Zhendong Yang
Ailing Zeng
Zhe Li
Tianke Zhang
Chun Yuan
Yu Li
320
139
0
23 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
414
16
0
17 Mar 2023
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels
Science China Information Sciences (Sci China Inf Sci), 2023
Xiang Li
Xinrui Wang
Songcan Chen
186
1
0
28 Feb 2023
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation
Remote Sensing (RS), 2023
Galadrielle Humblot-Renaux
S. B. Jensen
Andreas Møgelmose
SSeg
3DPC
NoLa
382
7
0
06 Feb 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding
IEEE Transactions on Automation Science and Engineering (T-ASE), 2022
Mengya Xu
Mobarakol Islam
Ben Glocker
Hongliang Ren
262
3
0
22 Dec 2022
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yahan Yang
Soham Dan
Dan Roth
Insup Lee
355
8
0
20 Dec 2022
1
2
Next
Page 1 of 2
