When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 282 papers shown

Title
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 16 6 0 30 May 2022
Parameter-Efficient and Student-Friendly Knowledge Distillation Jun Rao Xv Meng Liang Ding Shuhan Qi Dacheng Tao 37 46 0 28 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022
Masterful: A Training Platform for Computer Vision Models S. Wookey Yaoshiang Ho Thomas D. Rikert Juan David Gil Lopez Juan Manuel Munoz Beancur ... Ray Tawil Aaron Sabin Jack Lynch Travis Harper Nikhil Gajendrakumar VLM 18 1 0 21 May 2022
Learning from Bootstrapping and Stepwise Reinforcement Reward: A Semi-Supervised Framework for Text Style Transfer Zhengyuan Liu Nancy F. Chen 19 1 0 19 May 2022
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting IV WilliamH.Clark Alan J. Michaels 8 2 0 07 May 2022
Quality-Aware Decoding for Neural Machine Translation Patrick Fernandes António Farinhas Ricardo Rei José G. C. de Souza Perez Ogayo Graham Neubig André F. T. Martins 33 57 0 02 May 2022
The Implicit Length Bias of Label Smoothing on Beam Search Decoding Bowen Liang Pidong Wang Yuan Cao 16 1 0 02 May 2022
A Challenging Benchmark of Anime Style Recognition Haotang Li S. Guo Kailin Lyu Xiao Yang Tianchen Chen Jianqing Zhu Huanqiang Zeng CVBM 16 5 0 29 Apr 2022
Reducing Model Jitter: Stable Re-training of Semantic Parsers in Production Environments Christopher Hidey Fei Liu Rahul Goel 19 4 0 10 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 19 55 0 10 Apr 2022
Decompositional Generation Process for Instance-Dependent Partial Label Learning Congyu Qiao Ning Xu Xin Geng 118 75 0 08 Apr 2022
Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results T. Ridnik Hussam Lawen Emanuel Ben-Baruch Asaf Noy 38 11 0 07 Apr 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation Tao Feng Mang Wang Hangjie Yuan ObjD CLL 18 84 0 05 Apr 2022
Constrained Sequence-to-Tree Generation for Hierarchical Text Classification Chao Yu Yi Shen Yue Mao Longjun Cai 19 22 0 02 Apr 2022
Dynamic Supervisor for Cross-dataset Object Detection Ze Chen Zhihang Fu Jianqiang Huang Mingyuan Tao Sheng-Gang Li Rongxin Jiang Xiang Tian Yao-wu Chen Xiansheng Hua 25 0 0 01 Apr 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 18 25 0 25 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 14 42 0 25 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation Yu Lu Jiali Zeng Jiajun Zhang Shuangzhi Wu Mu Li 33 9 0 22 Mar 2022
Reducing Flipping Errors in Deep Neural Networks Xiang Deng Yun Xiao Bo Long Zhongfei Zhang AAML 27 3 0 16 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 27 18 0 14 Mar 2022
Enhancing Adversarial Training with Second-Order Statistics of Weights Gao Jin Xinping Yi Wei Huang S. Schewe Xiaowei Huang AAML 17 47 0 11 Mar 2022
Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability Ruifei He Shuyang Sun Jihan Yang Song Bai Xiaojuan Qi 24 36 0 10 Mar 2022
Better Supervisory Signals by Observing Learning Paths Yi Ren Shangmin Guo Danica J. Sutherland 25 21 0 04 Mar 2022
Adaptive Discriminative Regularization for Visual Classification Qingsong Zhao Yi Wang Shuguang Dou Chen Gong Yin Wang Cairong Zhao 16 0 0 02 Mar 2022
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image Assessment Pratikkumar Prajapati C. Pollett CVBM 29 7 0 28 Feb 2022
Visual Attention Network Meng-Hao Guo Chengrou Lu Zheng-Ning Liu Ming-Ming Cheng Shiyong Hu ViT VLM 19 637 0 20 Feb 2022
Meta Knowledge Distillation Jihao Liu Boxiao Liu Hongsheng Li Yu Liu 18 25 0 16 Feb 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 6 42 0 01 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning Emilio Dorigatti Jann Goschenhofer B. Schubert Mina Rezaei Bernd Bischl 16 3 0 31 Jan 2022
Reducing language context confusion for end-to-end code-switching automatic speech recognition Shuai Zhang Jiangyan Yi Zhengkun Tian J. Tao Y. Yeung Liqun Deng 14 11 0 28 Jan 2022
Transfering Hierarchical Structure with Dual Meta Imitation Learning Chongkai Gao Yizhou Jiang F. Chen 25 8 0 28 Jan 2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding Lalithkumar Seenivasan Sai Mitheran Mobarakol Islam Hongliang Ren 38 32 0 28 Jan 2022
Relieving Long-tailed Instance Segmentation via Pairwise Class Balance Yin-Yin He Peizhen Zhang Xiu-Shen Wei X. Zhang Jian-jun Sun ISeg 21 24 0 08 Jan 2022
Controlling the Quality of Distillation in Response-Based Network Compression Vibhas Kumar Vats David J. Crandall 11 1 0 19 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 21 2 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 26 3 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 24 65 0 30 Nov 2021
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 29 19 0 24 Nov 2021
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks Wang Zhu Peter Shaw Tal Linzen Fei Sha 27 7 0 09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 49 54 0 08 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 21 26 0 03 Nov 2021
Regularization by Misclassification in ReLU Neural Networks Elisabetta Cornacchia Jan Hązła Ido Nachum Amir Yehudayoff NoLa 18 2 0 03 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 35 16 0 27 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 19 106 0 26 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 119 98 0 16 Oct 2021
Language Modelling via Learning to Rank A. Frydenlund Gagandeep Singh Frank Rudzicz 45 7 0 13 Oct 2021
Understanding of Emotion Perception from Art Digbalay Bose Krishna Somandepalli Souvik Kundu Rimita Lahiri Jonathan Gratch Shrikanth Narayanan 17 4 0 13 Oct 2021
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works Jinghui Si Xutan Peng Chen Li Haotian Xu Jianxin Li 11 10 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 17 8 0 08 Oct 2021