When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

32 / 282 papers shown

Title
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 17 63 0 17 Sep 2020
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds Piyush Bagad Aman Dalmia Jigar Doshi Arsha Nagrani Parag Bhamare A. Mahale S. Rane N. Agarwal R. Panicker 23 112 0 17 Sep 2020
Label Smoothing and Adversarial Robustness Chaohao Fu Hongbin Chen Na Ruan Weijia Jia AAML 6 12 0 17 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 19 72 0 04 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 22 31 0 02 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 17 155 0 21 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 683 0 14 Jul 2020
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 11 234 0 10 Jul 2020
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers Shijie Geng Peng Gao Moitreya Chatterjee Chiori Hori Jonathan Le Roux Yongfeng Zhang Hongsheng Li A. Cherian 19 11 0 08 Jul 2020
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery Mobarakol Islam Seenivasan Lalithkumar Lim Chwee Ming Hongliang Ren 25 38 0 07 Jul 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,835 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 15 32 0 08 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 21 18 0 06 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation Weixin Liang James Y. Zou Zhou Yu ELM 20 33 0 21 May 2020
DiscreTalk: Text-to-Speech as a Machine Translation Problem Tomoki Hayashi Shinji Watanabe 14 32 0 12 May 2020
On the Inference Calibration of Neural Machine Translation Shuo Wang Zhaopeng Tu Shuming Shi Yang Liu 11 80 0 03 May 2020
Learning the grammar of drug prescription: recurrent neural network grammars for medication information extraction in clinical texts Ivan Lerner Jordan Jouffroy Anita Burgun A. Neuraz 19 9 0 24 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 17 274 0 31 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 250 656 0 23 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 11 7 0 17 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 15 103 0 11 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher S. Hoi ObjD NoLa 50 28 0 03 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip H. S. Torr P. Dokania UQCV 21 444 0 21 Feb 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 15 1,206 0 20 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 22 58 0 19 Feb 2020
Understanding and Improving Knowledge Distillation Jiaxi Tang Rakesh Shivanna Zhe Zhao Dong Lin Anima Singh Ed H. Chi Sagar Jain 11 129 0 10 Feb 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 13 555 0 06 Jan 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
Distance-Based Learning from Errors for Confidence Calibration Chen Xing Sercan Ö. Arik Zizhao Zhang Tomas Pfister FedML 15 39 0 03 Dec 2019
Label-similarity Curriculum Learning Ürün Dogan A. Deshmukh Marcin Machura Christian Igel 23 21 0 15 Nov 2019
Transformers without Tears: Improving the Normalization of Self-Attention Toan Q. Nguyen Julian Salazar 36 224 0 14 Oct 2019