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
Fortuitous Forgetting in Connectionist Networks
International Conference on Learning Representations (ICLR), 2022
Hattie Zhou
Ankit Vani
Hugo Larochelle
Aaron Courville
CLL
247
48
0
01 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
B. Bischl
262
4
0
31 Jan 2022
Reducing language context confusion for end-to-end code-switching automatic speech recognition
Interspeech (Interspeech), 2022
Shuai Zhang
Jiangyan Yi
Zhengkun Tian
Jianhua Tao
Y. Yeung
Liqun Deng
165
16
0
28 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning
Chongkai Gao
Yizhou Jiang
F. Chen
178
9
0
28 Jan 2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
IEEE Robotics and Automation Letters (RA-L), 2022
Lalithkumar Seenivasan
Sai Mitheran
Mobarakol Islam
Hongliang Ren
199
42
0
28 Jan 2022
Calibrating Histopathology Image Classifiers using Label Smoothing
Conference on Artificial Intelligence in Medicine in Europe (AIME), 2022
Jerry W. Wei
Lorenzo Torresani
Jason W. Wei
Saeed Hassanpour
82
2
0
28 Jan 2022
Improving Factored Hybrid HMM Acoustic Modeling without State Tying
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Tina Raissi
Eugen Beck
Ralf Schluter
Hermann Ney
186
5
0
24 Jan 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Computer Vision and Pattern Recognition (CVPR), 2022
Mannat Singh
Laura Gustafson
Aaron B. Adcock
Vinicius de Freitas Reis
B. Gedik
Raj Prateek Kosaraju
D. Mahajan
Ross B. Girshick
Piotr Dollár
Laurens van der Maaten
VLM
289
146
0
20 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance
Computer Vision and Pattern Recognition (CVPR), 2022
Yin-Yin He
Peizhen Zhang
Xiu-Shen Wei
Xinming Zhang
Jian Sun
ISeg
314
31
0
08 Jan 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
Computer Vision and Pattern Recognition (CVPR), 2022
Arnav Chavan
Zhiqiang Shen
Zhuang Liu
Zechun Liu
Kwang-Ting Cheng
Eric P. Xing
ViT
269
79
0
03 Jan 2022
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
Shaoshi Sun
Zhenyuan Zhang
B. Huang
Pengbin Lei
Jianlin Su
Shengfeng Pan
Jiarun Cao
UQCV
149
10
0
23 Dec 2021
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
238
16
0
22 Dec 2021
Classifier Calibration: A survey on how to assess and improve predicted class probabilities
Machine-mediated learning (ML), 2021
Telmo de Menezes e Silva Filho
Hao Song
Miquel Perelló Nieto
Raúl Santos-Rodríguez
Meelis Kull
Peter A. Flach
379
130
0
20 Dec 2021
Controlling the Quality of Distillation in Response-Based Network Compression
Vibhas Kumar Vats
David J. Crandall
99
1
0
19 Dec 2021
Ymir: A Supervised Ensemble Framework for Multivariate Time Series Anomaly Detection
Zhanxiang Zhao
AI4TS
61
1
0
09 Dec 2021
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning
K. Navaneet
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Kossar Pourahmadi
Akshayvarun Subramanya
Hamed Pirsiavash
SSL
237
8
0
08 Dec 2021
Making a Bird AI Expert Work for You and Me
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Dongliang Chang
Kaiyue Pang
Ruoyi Du
Zhanyu Ma
Yi-Zhe Song
Jun Guo
308
17
0
06 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Italian National Conference on Sensors (INS), 2021
Abdulmajid Murad
F. Kraemer
Kerstin Bach
Gavin Taylor
OOD
BDL
UQCV
117
13
0
05 Dec 2021
Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers
Renzhen Wang
De cai
Kaiwen Xiao
Xixi Jia
Xiao Han
Deyu Meng
293
3
0
04 Dec 2021
Data-Free Neural Architecture Search via Recursive Label Calibration
European Conference on Computer Vision (ECCV), 2021
Zechun Liu
Zhiqiang Shen
Yun Long
Eric P. Xing
Kwang-Ting Cheng
Chas Leichner
209
8
0
03 Dec 2021
A Fast Knowledge Distillation Framework for Visual Recognition
Zhiqiang Shen
Eric P. Xing
VLM
201
58
0
02 Dec 2021
Probabilistic Approach for Road-Users Detection
Gledson Melotti
Weihao Lu
Pedro Conde
Dezong Zhao
A. Asvadi
Nuno Gonçalves
C. Premebida
349
5
0
02 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang
Yujun Cai
Yuxuan Liang
Wei Wang
Henghui Ding
Muhao Chen
Jing Tang
Bryan Hooi
145
5
0
01 Dec 2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
Bingyuan Liu
Ismail Ben Ayed
Adrian Galdran
Jose Dolz
UQCV
465
97
0
30 Nov 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Neural Information Processing Systems (NeurIPS), 2021
Trung-Nghia Phung
Trung Le
L. Vuong
Toan M. Tran
Anh Tran
Hung Bui
Dinh Q. Phung
OOD
AI4CE
187
22
0
27 Nov 2021
Altering Backward Pass Gradients improves Convergence
Bishshoy Das
M. Mondal
Brejesh Lall
S. Joshi
Sumantra Dutta Roy
225
0
0
24 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks
Loic Jezequel
Ngoc-Son Vu
Jean Beaudet
A. Histace
311
24
0
24 Nov 2021
To Trust or Not To Trust Prediction Scores for Membership Inference Attacks
Dominik Hintersdorf
Lukas Struppek
Kristian Kersting
160
17
0
17 Nov 2021
The self-supervised spectral-spatial attention-based transformer network for automated, accurate prediction of crop nitrogen status from UAV imagery
Xin Zhang
Liangxiu Han
Tam Sobeih
Lewis Lappin
Mark A. Lee
Andew Howard
A. Kisdi
ViT
107
1
0
12 Nov 2021
The Science of Rejection: A Research Area for Human Computation
Burcu Sayin
Jie Yang
Baptiste Caramiaux
Fabio Casati
HAI
106
5
0
11 Nov 2021
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks
Guoxuan Xia
Sangwon Ha
Tiago Azevedo
Partha P. Maji
UQCV
97
3
0
10 Nov 2021
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
Peng Guo
Peter Shaw
Tal Linzen
Fei Sha
181
7
0
09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li
Hongyang R. Zhang
NoLa
286
69
0
08 Nov 2021
Regularization by Misclassification in ReLU Neural Networks
Elisabetta Cornacchia
Jan Hązła
Ido Nachum
Amir Yehudayoff
NoLa
157
2
0
03 Nov 2021
LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
ACM Transactions on Cyber-Physical Systems (ACM TCPS), 2021
Erh-Chung Chen
Che-Rung Lee
AAML
347
26
0
03 Nov 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Neural Information Processing Systems (NeurIPS), 2021
Aadarsh Sahoo
Rutav Shah
Yikang Shen
Kate Saenko
Abir Das
185
75
0
28 Oct 2021
Iterative Teaching by Label Synthesis
Weiyang Liu
Zhen Liu
Hanchen Wang
Liam Paull
Bernhard Schölkopf
Adrian Weller
413
18
0
27 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang
Chaowei Xiao
Jean Kossaifi
Zhiding Yu
Anima Anandkumar
Zinan Lin
336
132
0
26 Oct 2021
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
149
0
0
19 Oct 2021
When in Doubt, Summon the Titans: Efficient Inference with Large Models
A. S. Rawat
Manzil Zaheer
A. Menon
Amr Ahmed
Sanjiv Kumar
124
8
0
19 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
477
117
0
16 Oct 2021
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Helen Zhou
Ahmed Hassan Awadallah
219
18
0
16 Oct 2021
FocusNet: Classifying Better by Focusing on Confusing Classes
Xue Zhang
Zehua Sheng
Hui-Liang Shen
238
14
0
14 Oct 2021
Language Modelling via Learning to Rank
A. Frydenlund
Gagandeep Singh
Frank Rudzicz
172
9
0
13 Oct 2021
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Leilei Gan
Lanfen Lin
Kun Kuang
FedML
419
32
0
13 Oct 2021
Tutorial on Deep Learning for Human Activity Recognition
Marius Bock
Alexander Hoelzemann
Michael Moeller
Kristof Van Laerhoven
BDL
HAI
49
2
0
13 Oct 2021
Understanding of Emotion Perception from Art
Digbalay Bose
Krishna Somandepalli
Souvik Kundu
Rimita Lahiri
Jonathan Gratch
Shrikanth Narayanan
108
8
0
13 Oct 2021
Instance-based Label Smoothing For Better Calibrated Classification Networks
International Conference on Machine Learning and Applications (ICMLA), 2021
Mohamed Maher
Meelis Kull
UQCV
160
8
0
11 Oct 2021
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Jinghui Si
Xutan Peng
Chen Li
Haotian Xu
Jianxin Li
152
13
0
09 Oct 2021
2nd Place Solution to Google Landmark Retrieval 2021
Yuqi Zhang
Xianzhe Xu
Weihua Chen
Yaohua Wang
Fangyi Zhang
Wang Fan
Li Hao
3DPC
3DV
206
8
0
08 Oct 2021
Previous
1
2
3
...
13
14
15
...
18
19
20
Next
