Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1906.02629
Cited By
v1
v2
v3 (latest)
When Does Label Smoothing Help?
Neural Information Processing Systems (NeurIPS), 2019
6 June 2019
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"When Does Label Smoothing Help?"
50 / 987 papers shown
YOLO11 to Its Genesis: A Decadal and Comprehensive Review of The You Only Look Once (YOLO) Series
Artificial Intelligence Review (Artif Intell Rev), 2024
Ranjan Sapkota
Rizwan Qureshi
Marco Flores Calero
Chetan Badjugar
Upesh Nepal
...
U. B. P. Vaddevolu
Sheheryar Khan
Maged Shoman
Hong-Mei Yan
Manoj Karkee
483
2
0
10 Jan 2025
CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
Jiaxin Duan
Fengyu Lu
Junfei Liu
282
0
0
04 Jan 2025
Cross-View Consistency Regularisation for Knowledge Distillation
ACM Multimedia (MM), 2024
W. Zhang
Dongnan Liu
Weidong Cai
Chao Ma
457
7
0
21 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Computer Vision and Pattern Recognition (CVPR), 2024
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
1.1K
6
0
18 Dec 2024
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
Shizhuo Deng
Bowen Han
Jiaqi Chen
Hao Wang
Dongyue Chen
Tong Jia
VLM
NoLa
347
1
0
17 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
AAAI Conference on Artificial Intelligence (AAAI), 2024
Jinzong Dong
Zhaohui Jiang
Dong Pan
Haoyang Yu
359
1
0
14 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Junha Lee
Sojung An
Sujeong You
Namik Cho
241
0
0
08 Dec 2024
Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks
R. Prashanth
MedIm
207
2
0
06 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
581
1
0
29 Nov 2024
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
Shang Liu
Yu Pan
Guanting Chen
Xiaocheng Li
388
4
0
19 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
Sudarshan Adiga
Ravi Tandon
533
0
0
18 Nov 2024
On the Privacy Risk of In-context Learning
Haonan Duan
Adam Dziedzic
Mohammad Yaghini
Nicolas Papernot
Franziska Boenisch
SILM
PILM
305
55
0
15 Nov 2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers?
Nasib Ullah
Erik Schultheis
Jinbin Zhang
Rohit Babbar
210
1
0
06 Nov 2024
Typicalness-Aware Learning for Failure Detection
Neural Information Processing Systems (NeurIPS), 2024
Yijun Liu
Jiequan Cui
Zhuotao Tian
Senqiao Yang
Qingdong He
Xiaoling Wang
Jingyong Su
AAML
315
5
0
04 Nov 2024
Mitigating Spurious Correlations via Disagreement Probability
Neural Information Processing Systems (NeurIPS), 2024
Hyeonggeun Han
Sehwan Kim
Hyungjun Joo
Sangwoo Hong
Jungwoo Lee
568
4
0
04 Nov 2024
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
398
13
0
01 Nov 2024
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
Neural Information Processing Systems (NeurIPS), 2024
Mathilde Caron
Alireza Fathi
Cordelia Schmid
Ahmet Iscen
238
3
0
31 Oct 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy Labels
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Shumpei Takezaki
Kiyohito Tanaka
S. Uchida
NoLa
223
0
0
29 Oct 2024
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
Yufei Zhang
Yicheng Xu
Jianguo Huang
Zhiping Lin
Xiaofeng Zou
Cen Chen
Huiping Zhuang
TTA
228
1
0
29 Oct 2024
Calibrating Deep Neural Network using Euclidean Distance
Wenhao Liang
Chang George Dong
Liangwei Nathan Zheng
Wei Zhang
Wei Emma Zhang
UQCV
352
6
0
23 Oct 2024
Pre-training Distillation for Large Language Models: A Design Space Exploration
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Hao Peng
Xin Lv
Yushi Bai
Zijun Yao
Jing Zhang
Lei Hou
Juanzi Li
273
8
0
21 Oct 2024
Retrospective Learning from Interactions
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Zizhao Chen
Mustafa Omer Gul
Yiwei Chen
Gloria Geng
Anne Wu
Yoav Artzi
LRM
340
3
0
17 Oct 2024
Feature Clipping for Uncertainty Calibration
AAAI Conference on Artificial Intelligence (AAAI), 2024
Linwei Tao
Minjing Dong
Chang Xu
UQCV
218
5
0
16 Oct 2024
Calibrating Verbalized Probabilities for Large Language Models
Cheng Wang
Gyuri Szarvas
Georges Balazs
Pavel Danchenko
P. Ernst
272
1
0
09 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park
Juyeop Kim
Jong-Seok Lee
266
1
0
05 Oct 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Kyuyoung Kim
Ah Jeong Seo
Hao Liu
Jinwoo Shin
Kimin Lee
144
8
0
04 Oct 2024
Probabilistic road classification in historical maps using synthetic data and deep learning
Dominik J. Mühlematter
Sebastian Schweizer
Chenjing Jiao
Xue Xia
M. Heitzler
L. Hurni
200
1
0
03 Oct 2024
Calibrating Language Models with Adaptive Temperature Scaling
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Johnathan Xie
Annie S. Chen
Yoonho Lee
Eric Mitchell
Chelsea Finn
246
34
0
29 Sep 2024
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Yi Gu
Y. Otake
Keisuke Uemura
Masaki Takao
Mazen Soufi
S. Okada
Nobuhiko Sugano
Hugues Talbot
Yoshinobu Sato
158
1
0
25 Sep 2024
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
Balkan Conference in Informatics (BI), 2024
Zhili Lai
Chunmei Qing
Junpeng Tan
Wanxiang Luo
Xiangmin Xu
255
3
0
24 Sep 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
Xin Wei
Yaling Tao
Changde Du
Gangming Zhao
Yizhou Yu
Jinpeng Li
215
0
0
24 Sep 2024
Critic Loss for Image Classification
International Conference on Machine Learning and Applications (ICMLA), 2024
B. Rappazzo
Aaron Ferber
Daniel Schwalbe-Koda
VLM
181
0
0
23 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL
Denis Tarasov
Anja Surina
Çağlar Gülçehre
OffRL
AI4CE
354
2
0
11 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
249
0
0
06 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation
Machine Learning for Biomedical Imaging (MLBI), 2024
P. Mody
Nicolas F. Chaves-de-Plaza
Chinmay Rao
Eleftheria Astrenidou
M. de Ridder
N. Hoekstra
Klaus Hildebrandt
Marius Staring
UQCV
297
1
0
05 Sep 2024
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution
Jaouad Dabounou
210
0
0
04 Sep 2024
Effects of Common Regularization Techniques on Open-Set Recognition
Zachary Rabin
Jim Davis
Benjamin Lewis
Matthew Scherreik
BDL
178
0
0
03 Sep 2024
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation
Andrea Maracani
Lorenzo Rosasco
Lorenzo Natale
239
0
0
01 Sep 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Kashun Shum
Minrui Xu
Jianshu Zhang
Zixin Chen
Shizhe Diao
Hanze Dong
Jipeng Zhang
Muhammad Omer Raza
175
8
0
22 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
Minghao Liu
Zonglin Di
Jiaheng Wei
Zhongruo Wang
Hengxiang Zhang
...
Haobo Wang
Lei Feng
Yongfeng Zhang
James Davis
Yang Liu
232
18
0
21 Aug 2024
ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language
European Conference on Artificial Intelligence (ECAI), 2024
Yongkang Liu
Feng Shi
Daling Wang
Yifei Zhang
Hinrich Schütze
190
1
0
16 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization
Yangdi Wang
Zhi-Hai Zhang
Su Xiu Xu
Wenming Guo
242
0
0
09 Aug 2024
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization
International Conference on Computational Linguistics (COLING), 2024
Zhaohan Zhang
Ziquan Liu
Ioannis Patras
248
5
0
09 Aug 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer
Daniel Ramos
UQCV
197
8
0
05 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis
Xiangyu Peng
Kai Wang
Jianfei Yang
Yingying Zhu
Yang You
MedIm
201
0
0
05 Aug 2024
Label Augmentation for Neural Networks Robustness
Fatemeh Amerehi
Patrick Healy
AAML
200
2
0
04 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
302
2
0
01 Aug 2024
Representation Magnitude has a Liability to Privacy Vulnerability
Xingli Fang
Jung-Eun Kim
236
1
0
23 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels
Daniel Ward
Mark Beaumont
Matteo Fasiolo
BDL
632
1
0
22 Jul 2024
D
4
^4
4
M: Dataset Distillation via Disentangled Diffusion Model
Duo Su
Junjie Hou
Weizhi Gao
Yingjie Tian
Bowen Tang
DD
294
53
0
21 Jul 2024
Previous
1
2
3
4
5
6
...
18
19
20
Next
