When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 282 papers shown

Title
Rethinking Label Smoothing on Multi-hop Question Answering Zhangyue Yin Yuxin Wang Xiannian Hu Yiguang Wu Hang Yan Xinyu Zhang Zhao Cao Xuanjing Huang Xipeng Qiu 19 9 0 19 Dec 2022
Inductive Attention for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See O. Lanz 31 1 0 17 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas C. Ouyang Chen Chen Ben Glocker VLM 25 6 0 16 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 18 3 0 14 Dec 2022
Universe Points Representation Learning for Partial Multi-Graph Matching Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard 26 5 0 01 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 36 4 0 01 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip H. S. Torr Song Bai UQCV NoLa 13 5 0 29 Nov 2022
Progressive Learning without Forgetting Tao Feng Hangjie Yuan Mang Wang Ziyuan Huang Ang Bian Jianzhou Zhang CLL KELM 42 4 0 28 Nov 2022
Uncertainty-aware Vision-based Metric Cross-view Geolocalization F. Fervers Sebastian Bullinger C. Bodensteiner Michael Arens Rainer Stiefelhagen 22 39 0 22 Nov 2022
Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism Yuhei Otsubo Akira Otsuka M. Mimura 21 3 0 22 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 21 25 0 21 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu Haokui Zhang Wenze Hu Shiliang Zhang Xiaoyu Wang ViT 25 6 0 14 Nov 2022
Estimating Soft Labels for Out-of-Domain Intent Detection Hao Lang Yinhe Zheng Jian Sun Feiling Huang Luo Si Yongbin Li 28 15 0 10 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
Harmonizing the object recognition strategies of deep neural networks with humans Thomas Fel Ivan Felipe Drew Linsley Thomas Serre 30 71 0 08 Nov 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 21 23 0 23 Oct 2022
Salience Allocation as Guidance for Abstractive Summarization Fei Wang Kaiqiang Song Hongming Zhang Lifeng Jin Sangwoo Cho Wenlin Yao Xiaoyang Wang Muhao Chen Dong Yu 55 31 0 22 Oct 2022
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition Darcey Riley David Chiang 19 5 0 19 Oct 2022
Rethinking Sharpness-Aware Minimization as Variational Inference Szilvia Ujváry Zsigmond Telek A. Kerekes Anna Mészáros Ferenc Huszár 25 8 0 19 Oct 2022
Bidirectional Semi-supervised Dual-branch CNN for Robust 3D Reconstruction of Stereo Endoscopic Images via Adaptive Cross and Parallel Supervisions Hongkuan Shi Zhiwei Wang Ying Zhou Dun Li Xin Yang Qiang Li 3DV 22 7 0 15 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 28 24 0 12 Oct 2022
Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis Yuxin Xiao Paul Pu Liang Umang Bhatt W. Neiswanger Ruslan Salakhutdinov Louis-Philippe Morency 175 86 0 10 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 25 58 0 04 Oct 2022
Using Knowledge Distillation to improve interpretable models in a retail banking context Maxime Biehler Mohamed Guermazi Célim Starck 49 2 0 30 Sep 2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration Yu Tang Pin-Yu Chen Tsung-Yi Ho 18 5 0 23 Sep 2022
Relaxed Attention for Transformer Models Timo Lohrenz Björn Möller Zhengyang Li Tim Fingscheidt KELM 24 11 0 20 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 27 11 0 19 Sep 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss B. Felfeliyan A. Hareendranathan G. Kuntze S. Wichuk Nils D. Forkert Jacob L. Jaremko J. Ronsky NoLa 31 2 0 16 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 16 22 0 15 Sep 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 21 24 0 22 Aug 2022
Rethinking Knowledge Distillation via Cross-Entropy Zhendong Yang Zhe Li Yuan Gong Tianke Zhang Shanshan Lao Chun Yuan Yu Li 25 14 0 22 Aug 2022
Effectiveness of Function Matching in Driving Scene Recognition Shingo Yashima 16 1 0 20 Aug 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation Yunzhong Hou Stephen Gould Liang Zheng 25 0 0 17 Aug 2022
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning Haoyuan He Wang-Zhou Dai Ming Li AI4CE 29 2 0 14 Aug 2022
Two-Pass Low Latency End-to-End Spoken Language Understanding Siddhant Arora Siddharth Dalmia Xuankai Chang Brian Yan A. Black Shinji Watanabe VLM 22 19 0 14 Jul 2022
Rich Feature Distillation with Feature Affinity Module for Efficient Image Dehazing S. J. Anushri Suresh Nisha J.S. V. Gopi VLM 21 6 0 13 Jul 2022
Masked Autoencoders that Listen Po-Yao (Bernie) Huang Hu Xu Juncheng Billy Li Alexei Baevski Michael Auli Wojciech Galuba Florian Metze Christoph Feichtenhofer 13 268 0 13 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 19 30 0 13 Jul 2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding Yifan Peng Siddharth Dalmia Ian Lane Shinji Watanabe 19 142 0 06 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks Shaopu Wang Xiaojun Chen Mengzhen Kou Jinqiao Shi 8 2 0 03 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator K. M. Collins Umang Bhatt Adrian Weller 11 44 0 02 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 15 6 0 30 Jun 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 80 41 0 29 Jun 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 27 34 0 29 Jun 2022
Knowledge Distillation of Transformer-based Language Models Revisited Chengqiang Lu Jianwei Zhang Yunfei Chu Zhengyu Chen Jingren Zhou Fei Wu Haiqing Chen Hongxia Yang VLM 25 10 0 29 Jun 2022
Robust SAR ATR on MSTAR with Deep Learning Models trained on Full Synthetic MOCEM data Benjamin Camus C. Barbu Eric Monteux 9 4 0 15 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation Jonghyun Lee Dahuin Jung Junho Yim Sung-Hoon Yoon TTA 13 70 0 14 Jun 2022
NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks Nuo Xu Binghui Wang Ran Ran Wujie Wen Parv Venkitasubramaniam AAML 13 5 0 11 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 22 11 0 03 Jun 2022
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks Y. Fu Haichuan Yang Jiayi Yuan Meng Li Cheng Wan Raghuraman Krishnamoorthi Vikas Chandra Yingyan Lin 28 18 0 02 Jun 2022