When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 282 papers shown

Title
An Investigation of the Effectiveness of Phase for Audio Classification Shunsuke Hidaka Kohei Wakamiya T. Kaburagi 21 4 0 06 Oct 2021
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing Kanil Patel William H. Beluch K. Rambach Michael Pfeiffer B. Yang UQCV 27 9 0 27 Sep 2021
WRENCH: A Comprehensive Benchmark for Weak Supervision Jieyu Zhang Yue Yu Yinghao Li Yujing Wang Yaming Yang Mao Yang Alexander Ratner 14 110 0 23 Sep 2021
The Unreasonable Effectiveness of the Final Batch Normalization Layer Veysel Kocaman O. M. Shir T. Baeck 13 1 0 18 Sep 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images Galadrielle Humblot-Renaux Letizia Marchegiani T. Moeslund Rikke Gade SSeg EgoV 26 14 0 15 Sep 2021
Sequential Attention Module for Natural Language Processing Mengyuan Zhou Jian Ma Haiqing Yang Lian-Xin Jiang Yang Mo AI4TS 13 2 0 07 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 23 688 0 04 Sep 2021
Compact representations of convolutional neural networks via weight pruning and quantization Giosuè Cataldo Marinò A. Petrini D. Malchiodi Marco Frasca MQ 19 4 0 28 Aug 2021
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training Gabriele Valvano Andrea Leo Sotirios A. Tsaftaris TTA 25 8 0 26 Aug 2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates Luigi Fiorillo Paolo Favaro F. Faraci 16 79 0 24 Aug 2021
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 16 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 22 21 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 25 13 0 27 Jul 2021
kNet: A Deep kNN Network To Handle Label Noise Itzik Mizrahi S. Avidan NoLa 13 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 30 1,109 0 07 Jul 2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification Xiaohan Xing Yuenan Hou Han Li Yixuan Yuan Hongsheng Li M. Meng VLM 31 35 0 07 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 28 334 0 07 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 17 163 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 17 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 16 108 0 17 Jun 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 35 21 0 17 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
Diversifying Dialog Generation via Adaptive Label Smoothing Yida Wang Yinhe Zheng Yong-jia Jiang Minlie Huang 22 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 27 180 0 26 May 2021
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays Krzysztof Maziarz A. Krason Z. Wojna MedIm 20 9 0 28 Apr 2021
Visualizing Adapted Knowledge in Domain Transfer Yunzhong Hou Liang Zheng 111 54 0 20 Apr 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 22 31 0 20 Apr 2021
Detecting Escalation Level from Speech with Transfer Learning and Acoustic-Lexical Information Fusion Ziang Zhou Yanze Xu Ming Li 36 1 0 13 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 11 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 11 53 0 22 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 45 21 0 09 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 18 146 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 34 2 0 25 Feb 2021
Learning Neural Network Subspaces Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 16 85 0 20 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 14 96 0 18 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 27 8 0 09 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 35 6 0 27 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 17 3 0 07 Jan 2021
Weakly Supervised Label Smoothing Gustavo Penha C. Hauff 8 3 0 15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang R. He Jiashi Feng 140 250 0 14 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 26 6 0 09 Dec 2020
Label Confusion Learning to Enhance Text Classification Models Biyang Guo Songqiao Han Xiao Han Hailiang Huang Ting Lu 55 67 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 34 286 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 P. Xing 14 18 0 28 Nov 2020
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 34 24 0 21 Nov 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 22 16 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 W. 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 19 26 0 22 Oct 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 19 30 0 20 Sep 2020