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
MAFA: Managing False Negatives for Vision-Language Pre-training
Jaeseok Byun
Dohoon Kim
Taesup Moon
VLM
414
13
0
11 Dec 2023
Unknown Sample Discovery for Source Free Open Set Domain Adaptation
C. S. Jahan
Andreas E. Savakis
TTA
198
8
0
05 Dec 2023
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
Victor G. Turrisi da Costa
Nicola Dall’Asen
Yiming Wang
Andrii Zadaianchuk
Elisa Ricci
331
9
0
05 Dec 2023
Simplifying Neural Network Training Under Class Imbalance
Neural Information Processing Systems (NeurIPS), 2023
Ravid Shwartz-Ziv
Micah Goldblum
Yucen Lily Li
C. Bayan Bruss
Andrew Gordon Wilson
267
32
0
05 Dec 2023
Improving Adversarial Transferability via Model Alignment
European Conference on Computer Vision (ECCV), 2023
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Juil Sock
Jindong Gu
AAML
384
9
0
30 Nov 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
Computer Vision and Pattern Recognition (CVPR), 2023
Song Tang
Wenxin Su
Mao Ye
Xiatian Zhu
VLM
433
62
0
27 Nov 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
Zhaowei Zhu
Jialu Wang
Hao Cheng
Yang Liu
277
26
0
19 Nov 2023
On the Calibration of Multilingual Question Answering LLMs
Yahan Yang
Soham Dan
Dan Roth
Insup Lee
210
3
0
15 Nov 2023
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models
Peng Tang
Pengkai Zhu
Tian Li
Srikar Appalaraju
Vijay Mahadevan
R. Manmatha
229
9
0
15 Nov 2023
An Expandable Machine Learning-Optimization Framework to Sequential Decision-Making
European Journal of Operational Research (EJOR), 2023
Dogacan Yilmaz
˙I. Esra B¨uy¨uktahtakın
258
17
0
12 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions
A. Tersol Montserrat
Alexander R. Loftus
Yael Daihes
238
0
0
11 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ahmad Rashid
Serena Hacker
Guojun Zhang
Agustinus Kristiadi
Pascal Poupart
OODD
223
0
0
07 Nov 2023
Cal-DETR: Calibrated Detection Transformer
Neural Information Processing Systems (NeurIPS), 2023
Muhammad Akhtar Munir
Salman Khan
Muhammad Haris Khan
Mohsen Ali
Fahad Shahbaz Khan
224
11
0
06 Nov 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
728
30
0
03 Nov 2023
Tailoring Mixup to Data for Calibration
International Conference on Learning Representations (ICLR), 2023
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
448
3
0
02 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Zhenbang Du
Jiayu An
Yunlu Tu
Jiahao Hong
Dongrui Wu
MoE
320
1
0
01 Nov 2023
GaitFormer: Learning Gait Representations with Noisy Multi-Task Learning
Italian National Conference on Sensors (INS), 2022
Adrian Cosma
I. Radoi
CVBM
171
18
0
30 Oct 2023
Group Robust Classification Without Any Group Information
Neural Information Processing Systems (NeurIPS), 2023
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
268
25
0
28 Oct 2023
TarGEN: Targeted Data Generation with Large Language Models
Himanshu Gupta
Kevin Scaria
Ujjwala Anantheswaran
Shreyas Verma
Mihir Parmar
Saurabh Arjun Sawant
Chitta Baral
Swaroop Mishra
SyDa
281
15
0
27 Oct 2023
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift
AAAI Conference on Artificial Intelligence (AAAI), 2023
Dexter Neo
Stefan Winkler
Tsuhan Chen
OODD
313
8
0
26 Oct 2023
Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction
ACM Multimedia (ACM MM), 2023
Xuming Hu
Junzhe Chen
Aiwei Liu
Shiao Meng
Lijie Wen
Philip S. Yu
226
25
0
25 Oct 2023
Data Optimization in Deep Learning: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
330
6
0
25 Oct 2023
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
Xin Xing
Zhexiao Xiong
Abby Stylianou
Srikumar Sastry
Liyu Gong
Nathan Jacobs
VLM
182
13
0
24 Oct 2023
Towards contrast-agnostic soft segmentation of the spinal cord
Sandrine Bédard
E. Karthik
C. Tsagkas
E. Pravatà
Cristina Granziera
Andrew C. Smith
K. A. Weber
Julien Cohen-Adad
193
20
0
23 Oct 2023
Document-Level Language Models for Machine Translation
Conference on Machine Translation (WMT), 2023
Frithjof Petrick
Christian Herold
Pavel Petrushkov
Shahram Khadivi
Hermann Ney
150
14
0
18 Oct 2023
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas Griffiths
333
135
0
18 Oct 2023
Towards Fair and Calibrated Models
Anand Brahmbhatt
Vipul Rathore
Mausam
Parag Singla
FaML
201
2
0
16 Oct 2023
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes
Yulei Qin
Xingyu Chen
Chunjiang Ge
Chaoyou Fu
Yun Gu
Ke Li
Xing Sun
Rongrong Ji
248
3
0
15 Oct 2023
Large Language Model Unlearning
Yuanshun Yao
Xiaojun Xu
Yang Liu
MU
476
228
0
14 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
International Conference on Learning Representations (ICLR), 2023
Lukas Struppek
Dominik Hintersdorf
Kristian Kersting
566
21
0
10 Oct 2023
Unleashing the power of Neural Collapse for Transferability Estimation
Yuhe Ding
Bo Jiang
Lijun Sheng
Aihua Zheng
Jian Liang
CVBM
223
1
0
09 Oct 2023
Binary Classification with Confidence Difference
Neural Information Processing Systems (NeurIPS), 2023
Wei Wang
Lei Feng
Yuchen Jiang
Gang Niu
Min Zhang
Masashi Sugiyama
204
12
0
09 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
386
7
0
08 Oct 2023
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition
Emilian-Claudiu Muanescu
Ruazvan-Alexandru Smuadu
Andrei-Marius Avram
Dumitru-Clementin Cercel
Florin-Catalin Pop
301
0
0
07 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Neural Information Processing Systems (NeurIPS), 2023
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
602
16
0
07 Oct 2023
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Siddhant Arora
Hayato Futami
Jee-weon Jung
Yifan Peng
Roshan S. Sharma
Yosuke Kashiwagi
E. Tsunoo
Karen Livescu
Shinji Watanabe
ELM
240
11
0
04 Oct 2023
Spurious Feature Diversification Improves Out-of-distribution Generalization
International Conference on Learning Representations (ICLR), 2023
Yong Lin
Lu Tan
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
OODD
255
33
0
29 Sep 2023
On Calibration of Modern Quantized Efficient Neural Networks
Joe-Hwa Kuang
Alexander Wong
UQCV
MQ
370
1
0
25 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
Automatic Speech Recognition & Understanding (ASRU), 2023
Sheikh Shams Azam
Tatiana Likhomanenko
Martin Pelikan
Jan Honza Silovsky
185
7
0
22 Sep 2023
Improving Machine Learning Robustness via Adversarial Training
International Conference on Computer Communications and Networks (ICCCN), 2023
Long Dang
T. Hapuarachchi
Kaiqi Xiong
Jing Lin
OOD
AAML
162
4
0
22 Sep 2023
Neural network-based coronary dominance classification of RCA angiograms
Doklady. Mathematics (Dokl. Math.), 2023
Ivan Kruzhilov
Egor Ikryannikov
Artem Shadrin
Ruslan Utegenov
Galina Zubkova
Ivan Bessonov
90
5
0
13 Sep 2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Computer Speech and Language (CSL), 2023
Titouan Parcollet
H. Nguyen
Solène Evain
Marcely Zanon Boito
Adrien Pupier
...
François Portet
Solange Rossato
Fabien Ringeval
D. Schwab
Laurent Besacier
262
26
0
11 Sep 2023
Multiclass Alignment of Confidence and Certainty for Network Calibration
Vinith Kugathasan
M. H. Khan
UQCV
158
1
0
06 Sep 2023
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
Expert systems with applications (ESWA), 2023
Kin Wai Lau
L. Po
Yasar Abbas Ur Rehman
VLM
257
402
0
04 Sep 2023
Improving Out-of-Distribution Detection in Echocardiographic View Classication through Enhancing Semantic Features
Jaeik Jeon
S. Ha
Yeonggul Jang
Y. Yoon
Jiyeon Kim
Hyunseok Jeong
D. Jeong
Youngtaek Hong
Seung-Ah Lee Hyuk-Jae Chang
96
3
0
31 Aug 2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Mengwei He
Dongang Wang
Michael Barnett
Mariano Cabezas
Weidong (Tom) Cai
...
Ryan Sullivan
Hengrui Wang
Geng Zhan
Wanli Ouyang
Chenyu Wang
152
15
0
31 Aug 2023
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification
Ziqi Yang
Zhongyu Li
Chen Liu
Xiangde Luo
Xingguang Wang
Dou Xu
Chao-Ting Li
Xiaoying Qin
Meng Yang
Long Jin
143
1
0
24 Aug 2023
Masking Strategies for Background Bias Removal in Computer Vision Models
Ananthu Aniraj
C. Dantas
Dino Ienco
Diego Marcos
OOD
OCL
291
10
0
23 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration
IEEE International Conference on Computer Vision (ICCV), 2023
Jongyoun Noh
Hyekang Park
Junghyup Lee
Bumsub Ham
UQCV
209
18
0
23 Aug 2023
ACLS: Adaptive and Conditional Label Smoothing for Network Calibration
IEEE International Conference on Computer Vision (ICCV), 2023
Hyekang Park
Jongyoun Noh
Youngmin Oh
Donghyeon Baek
Bumsub Ham
UQCV
216
21
0
23 Aug 2023
Previous
1
2
3
...
5
6
7
...
18
19
20
Next
Page 6 of 20
Page
of 20
Go
