When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 356 papers shown

Title
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 33 70 0 18 Nov 2020
Optimizing Transformer for Low-Resource Neural Machine Translation Ali Araabi Christof Monz VLM 41 78 0 04 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 29 16 0 03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 18 499 0 03 Nov 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 14 92 0 25 Oct 2020
An Investigation of how Label Smoothing Affects Generalization Blair Chen Liu Ziyin Zihao Wang Paul Pu Liang UQCV 21 17 0 23 Oct 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data Lingkai Kong Haoming Jiang Yuchen Zhuang Jie Lyu T. Zhao Chao Zhang OODD 27 26 0 22 Oct 2020
What Have We Achieved on Text Summarization? Dandan Huang Leyang Cui Sen Yang Guangsheng Bao Kun Wang Jun Xie Yue Zhang 34 109 0 09 Oct 2020
Neural Proof Nets Konstantinos Kogkalidis M. Moortgat R. Moot 20 11 0 26 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 30 30 0 20 Sep 2020
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks Zhiqiang Shen Marios Savvides 31 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 34 112 0 17 Sep 2020
Label Smoothing and Adversarial Robustness Chaohao Fu Hongbin Chen Na Ruan Weijia Jia AAML 16 12 0 17 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 27 72 0 04 Sep 2020
Mutual Teaching for Graph Convolutional Networks Kun Zhan Chaoxi Niu SSL 22 32 0 02 Sep 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic Mahdi Rezaei Mohsen Azarmi 20 154 0 26 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 65 686 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 19 235 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 27 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
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 40 25 0 29 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention Kamal Gupta Justin Lazarow Alessandro Achille Larry S. Davis Vijay Mahadevan Abhinav Shrivastava ViT 36 136 0 25 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,851 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 20 116 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 33 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 26 18 0 06 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 45 98 0 05 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 31 163 0 25 May 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation Weixin Liang James Zou Zhou Yu ELM 34 33 0 21 May 2020
DiscreTalk: Text-to-Speech as a Machine Translation Problem Tomoki Hayashi Shinji Watanabe 27 32 0 12 May 2020
On the Inference Calibration of Neural Machine Translation Shuo Wang Zhaopeng Tu Shuming Shi Yang Liu 19 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 27 9 0 24 Apr 2020
Geometry-Aware Gradient Algorithms for Neural Architecture Search Liam Li M. Khodak Maria-Florina Balcan Ameet Talwalkar 31 67 0 16 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 12 39 0 01 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge Distillation Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 29 274 0 31 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 19 7 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 30 219 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks Amir M. Rahimi Amirreza Shaban Ching-An Cheng Richard I. Hartley Byron Boots UQCV 14 68 0 15 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 30 103 0 11 Mar 2020
Towards Noise-resistant Object Detection with Noisy Annotations Junnan Li Caiming Xiong R. Socher Guosheng Lin ObjD NoLa 62 28 0 03 Mar 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 56 445 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 50 1,210 0 20 Feb 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 25 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 27 129 0 10 Feb 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 33 555 0 06 Jan 2020
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks Luca Bertinetto Romain Mueller Konstantinos Tertikas Sina Samangooei Nicholas A. Lord OOD 28 131 0 19 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019