When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 356 papers shown

Title
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 36 79 0 24 Aug 2021
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 29 58 0 15 Aug 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 30 21 0 27 Jul 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Bo-wen Li Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 22 47 0 27 Jul 2021
Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation Song Tang Yan Yang Zhiyuan Ma Norman Hendrich Fanyu Zeng S. Ge Changshui Zhang Jianwei Zhang OOD 33 13 0 27 Jul 2021
kNet: A Deep kNN Network To Handle Label Noise Itzik Mizrahi S. Avidan NoLa 21 0 0 20 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 59 1,111 0 07 Jul 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification Xiaohan Xing Yuenan Hou Han Li Yixuan Yuan Hongsheng Li Max Q.-H. Meng VLM 39 36 0 07 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 336 0 07 Jul 2021
A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation Runze Chen Haiyong Luo Fang Zhao Xuechun Meng Zhiqing Xie Yida Zhu VLM HAI 24 2 0 06 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 21 164 0 29 Jun 2021
Improving Uncertainty Calibration of Deep Neural Networks via Truth Discovery and Geometric Optimization Chunwei Ma Ziyun Huang Jiayi Xian Mingchen Gao Jinhui Xu UQCV 33 14 0 25 Jun 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 23 108 0 17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
Revisiting the Calibration of Modern Neural Networks Matthias Minderer Josip Djolonga Rob Romijnders F. Hubis Xiaohua Zhai N. Houlsby Dustin Tran Mario Lucic UQCV 51 358 0 15 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation C. Chang George Adam Anna Goldenberg OOD CML 27 31 0 02 Jun 2021
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 28 37 0 30 May 2021
Improving Sign Language Translation with Monolingual Data by Sign Back-Translation Hao Zhou Wen-gang Zhou Weizhen Qi Junfu Pu Houqiang Li SLR 35 180 0 26 May 2021
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays Krzysztof Maziarz A. Krason Z. Wojna MedIm 30 9 0 28 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer Yunzhong Hou Liang Zheng 121 54 0 20 Apr 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 40 31 0 20 Apr 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 12 65 0 17 Apr 2021
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion Ziang Zhou Yanze Xu Ming Li 44 1 0 13 Apr 2021
The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions Jennifer J. Sun Tomomi Karigo Dipam Chakraborty Sharada Mohanty Benjamin Wild ... Chen Chen D. Anderson Pietro Perona Yisong Yue Ann Kennedy 32 47 0 06 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 27 288 0 01 Apr 2021
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval A. Bhunia Pinaki Nath Chowdhury Aneeshan Sain Yongxin Yang Tao Xiang Yi-Zhe Song GAN SSL 13 61 0 25 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 16 53 0 22 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Xia Hu 57 105 0 11 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes DNNs Simon Carbonnelle Christophe De Vleeschouwer 60 8 0 11 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 47 21 0 09 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 40 146 0 05 Mar 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning Xin Xie Xiangnan Chen Xiang Chen Yong Wang Ningyu Zhang Shumin Deng Huajun Chen 42 2 0 25 Feb 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 48 281 0 23 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 27 85 0 20 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 19 96 0 18 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 43 8 0 09 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 29 35 0 05 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 47 6 0 27 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 25 3 0 07 Jan 2021
Weakly Supervised Label Smoothing Gustavo Penha C. Hauff 11 3 0 15 Dec 2020
Nested Named Entity Recognition with Partially-Observed TreeCRFs Yao Fu Chuanqi Tan Mosha Chen Songfang Huang Fei Huang 83 48 0 15 Dec 2020
Writing Polishment with Simile: Task, Dataset and A Neural Approach Jiayi Zhang Zhi Cui Xiaoqiang Xia Yalong Guo Yanran Li Chen Wei Jianwei Cui 20 17 0 15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 151 250 0 14 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 39 7 0 09 Dec 2020
Label Confusion Learning to Enhance Text Classification Models Biyang Guo Songqiao Han Xiao Han Hailiang Huang Ting Lu 63 68 0 09 Dec 2020
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey Xiaoqin Zhang Yan Hu Zunjie Xiao Jiansheng Fang Risa Higashita Jiang-Dong Liu 48 41 0 09 Dec 2020
Cross-Layer Distillation with Semantic Calibration Defang Chen Jian-Ping Mei Yuan Zhang Can Wang Yan Feng Chun-Yen Chen FedML 45 287 0 06 Dec 2020
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data Nanqing Dong Michael C. Kampffmeyer Xiaodan Liang Min Xu Irina Voiculescu Eric Xing 17 18 0 28 Nov 2020