Papers citing 'When Does Label Smoothing Help?'

Title
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery Mobarakol Islam Seenivasan Lalithkumar Lim Chwee Ming Hongliang Ren 146 46 0 07 Jul 2020
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks Doyup Lee Yeongjae Cheon 73 6 0 07 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 122 5 0 30 Jun 2020
Improving Calibration through the Relationship with Adversarial Robustness Yao Qin Xuezhi Wang Alex Beutel Ed H. Chi AAML 172 28 0 29 Jun 2020
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning Lionel Blondé Pablo Strasser Alexandros Kalousis 271 23 0 28 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention Kamal Gupta Justin Lazarow Alessandro Achille Larry S. Davis Vijay Mahadevan Abhinav Shrivastava ViT 264 168 0 25 Jun 2020
Class-Similarity Based Label Smoothing for Confidence CalibrationInternational Conference on Artificial Neural Networks (ICANN), 2020 Chihuang Liu Joseph Jaja UQCV 156 2 0 24 Jun 2020
Facing the Hard Problems in FGVC Connor Anderson M. Gwilliam Adam Teuscher Andrew Merrill Ryan Farrell 135 5 1 23 Jun 2020
Post-hoc Calibration of Neural Networks by g-Layers Amir M. Rahimi Thomas Mensink Kartik Gupta Thalaiyasingam Ajanthan C. Sminchisescu Leonid Sigal 185 7 0 23 Jun 2020
Calibration of Neural Networks using SplinesInternational Conference on Learning Representations (ICLR), 2020 Kartik Gupta Amir M. Rahimi Thalaiyasingam Ajanthan Thomas Mensink C. Sminchisescu Leonid Sigal 214 120 0 23 Jun 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 372 228 0 22 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 115 45 0 20 Jun 2020
Semi-Supervised Recognition under a Noisy and Fine-grained Dataset Cheng Cui Zhi-xia Ye Yangxi Li Xinjian Li Min Yang Kai Wei B. Dai Yanmei Zhao Zhongji Liu Rong Pang 119 5 0 18 Jun 2020
Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty Taejong Joo U. Chung BDL UQCV 198 0 0 11 Jun 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 1.4K 3,592 0 09 Jun 2020
On the Effectiveness of Regularization Against Membership Inference Attacks Yigitcan Kaya Sanghyun Hong Tudor Dumitras 158 31 0 09 Jun 2020
Self-Distillation as Instance-Specific Label Smoothing Zhilu Zhang M. Sabuncu 145 125 0 09 Jun 2020
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 146 35 0 08 Jun 2020
The Dual Information Bottleneck Zoe Piran Ravid Shwartz-Ziv Naftali Tishby 137 16 0 08 Jun 2020
An Empirical Analysis of the Impact of Data Augmentation on Knowledge Distillation Deepan Das Haley Massa Abhimanyu Kulkarni Theodoros Rekatsinas 150 19 0 06 Jun 2020
An Overview of Neural Network Compression James OÑeill AI4CE 280 110 0 05 Jun 2020
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses Trong Huy Phan Kazuma Yamamoto 109 85 0 02 Jun 2020
Cascaded Text Generation with Markov TransformersNeural Information Processing Systems (NeurIPS), 2020 Yuntian Deng Alexander M. Rush 122 15 0 01 Jun 2020
Transferring Inductive Biases through Knowledge Distillation Samira Abnar Mostafa Dehghani Willem H. Zuidema 224 66 0 31 May 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty LabelsNeurocomputing (Neurocomputing), 2020 Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 180 175 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 160 36 0 21 May 2020
Why distillation helps: a statistical perspective A. Menon A. S. Rawat Sashank J. Reddi Seungyeon Kim Sanjiv Kumar FedML 204 25 0 21 May 2020
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation Bryan Eikema Wilker Aziz 227 151 0 20 May 2020
Learning from a Lightweight Teacher for Efficient Knowledge Distillation Yuang Liu Wei Zhang Jun Wang 122 4 0 19 May 2020
DiscreTalk: Text-to-Speech as a Machine Translation Problem Tomoki Hayashi Shinji Watanabe 111 35 0 12 May 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 375 64 0 07 May 2020
On the Inference Calibration of Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Shuo Wang Zhaopeng Tu Shuming Shi Yang Liu 179 88 0 03 May 2020
Generalized Entropy Regularization or: There's Nothing Special about Label SmoothingAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Clara Meister Elizabeth Salesky Robert Bamler UQCV 151 66 0 02 May 2020
Language Model Prior for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Christos Baziotis Barry Haddow Alexandra Birch 368 58 0 30 Apr 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating MinimizationNeural Processing Letters (NPL), 2020 Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 89 3 0 26 Apr 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 126 9 0 24 Apr 2020
SIPA: A Simple Framework for Efficient Networks Gihun Lee Sangmin Bae Jaehoon Oh Seyoung Yun 76 1 0 24 Apr 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 682 5,399 0 23 Apr 2020
Geometry-Aware Gradient Algorithms for Neural Architecture SearchInternational Conference on Learning Representations (ICLR), 2020 Liam Li M. Khodak Maria-Florina Balcan Ameet Talwalkar 346 70 0 16 Apr 2020
Building a Multi-domain Neural Machine Translation Model using Knowledge DistillationEuropean Conference on Artificial Intelligence (ECAI), 2020 Idriss Mghabbar Pirashanth Ratnamogan 117 14 0 15 Apr 2020
More Grounded Image Captioning by Distilling Image-Text Matching ModelComputer Vision and Pattern Recognition (CVPR), 2020 Yuanen Zhou Meng Wang Daqing Liu Zhenzhen Hu Hanwang Zhang 201 137 0 01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot LearningNeural Networks (NN), 2020 Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 181 42 0 01 Apr 2020
Regularizing Class-wise Predictions via Self-knowledge DistillationComputer Vision and Pattern Recognition (CVPR), 2020 Sukmin Yun Jongjin Park Kimin Lee Jinwoo Shin 205 318 0 31 Mar 2020
Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy LabelsIEEE International Conference on Multimedia and Expo (ICME), 2020 Xianbin Lv Dongxian Wu Shutao Xia NoLa 56 2 0 26 Mar 2020
Volumization as a Natural Generalization of Weight Decay Liu Ziyin Zihao Wang M. Yamada Masahito Ueda AI4CE 96 0 0 25 Mar 2020
Meta Pseudo LabelsComputer Vision and Pattern Recognition (CVPR), 2020 Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 900 727 0 23 Mar 2020
A comprehensive study on the prediction reliability of graph neural networks for virtual screening Soojung Yang K. Lee Seongok Ryu 101 7 0 17 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep LearningInternational Conference on Machine Learning (ICML), 2020 Jize Zhang B. Kailkhura T. Y. Han UQCV 252 252 0 16 Mar 2020
Intra Order-preserving Functions for Calibration of Multi-Class Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 Amir M. Rahimi Amirreza Shaban Ching-An Cheng Leonid Sigal Byron Boots UQCV 388 79 0 15 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2020 Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 239 113 0 11 Mar 2020