When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 352 papers shown

Title
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 37 4 0 10 Feb 2023
Better Diffusion Models Further Improve Adversarial Training Zekai Wang Tianyu Pang Chao Du Min-Bin Lin Weiwei Liu Shuicheng Yan DiffM 26 208 0 09 Feb 2023
Cut your Losses with Squentropy Like Hui M. Belkin S. Wright UQCV 18 8 0 08 Feb 2023
When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations Taku Yamagata E. Tonkin Benjamin Arana Sanchez I. Craddock Miquel Perelló Nieto Raúl Santos-Rodríguez Weisong Yang Peter A. Flach 14 1 0 06 Feb 2023
A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers N. Statuto Irene Unceta Jordi Nin O. Pujol 30 0 0 06 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 21 28 0 01 Feb 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 31 0 0 31 Jan 2023
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN) Ayman Ali Ekkasit Pinyoanuntapong Pu Wang Mohsen Dorodchi 3DH 20 10 0 31 Jan 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 34 0 0 29 Jan 2023
Controlling Steering with Energy-Based Models Mykyta Baliesnyi Ardi Tampuu Tambet Matiisen LLMSV 38 2 0 28 Jan 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 33 0 0 11 Jan 2023
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching Byoungjip Kim Sun Choi Dasol Hwang Moontae Lee Honglak Lee 33 10 0 07 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack Muzammal Naseer Salman Khan Fatih Porikli Fahad Shahbaz Khan AAML 28 1 0 30 Dec 2022
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 37 0 0 27 Dec 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 31 1 0 22 Dec 2022
Rethinking Label Smoothing on Multi-hop Question Answering Zhangyue Yin Yuxin Wang Xiannian Hu Yiguang Wu Hang Yan Xinyu Zhang Bo Zhao Xuanjing Huang Xipeng Qiu 26 9 0 19 Dec 2022
Inductive Attention for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See Oswald Lanz 39 1 0 17 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 23 3 0 14 Dec 2022
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding Jianhao Yan Jin Xu Fandong Meng Jie Zhou Yue Zhang 24 3 0 08 Dec 2022
Universe Points Representation Learning for Partial Multi-Graph Matching Zhakshylyk Nurlanov Frank R. Schmidt Florian Bernard 39 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 44 4 0 01 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty Shuyang Sun Jieneng Chen Ruifei He Alan Yuille Philip Torr Song Bai UQCV NoLa 21 5 0 29 Nov 2022
Progressive Learning without Forgetting Tao Feng Hangjie Yuan Mang Wang Ziyuan Huang Ang Bian Jianzhou Zhang CLL KELM 44 4 0 28 Nov 2022
DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing C. Cui Yumo Yao Chunyun Zhang Hebo Ma Yuling Ma Z. Ren Chen Zhang James Ko AI4Ed 31 26 0 23 Nov 2022
Uncertainty-aware Vision-based Metric Cross-view Geolocalization F. Fervers Sebastian Bullinger C. Bodensteiner Michael Arens Rainer Stiefelhagen 32 40 0 22 Nov 2022
Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism Yuhei Otsubo Akira Otsuka M. Mimura 34 3 0 22 Nov 2022
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 31 25 0 21 Nov 2022
ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu Haokui Zhang Wenze Hu Shiliang Zhang Xiaoyu Wang ViT 32 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 40 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 36 71 0 08 Nov 2022
On the Informativeness of Supervision Signals Ilia Sucholutsky Ruairidh M. Battleday Katherine M. Collins Raja Marjieh Joshua C. Peterson Pulkit Singh Umang Bhatt Nori Jacoby Adrian Weller Thomas Griffiths 27 12 0 02 Nov 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task Nyoungwoo Lee chaeHun Park Ho-Jin Choi Jaegul Choo 30 6 0 31 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 26 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 60 32 0 22 Oct 2022
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis Rabindra Dulal Lihong Zheng M. A. Kabir S. McGrath J. Medway D. Swain Will Swain 23 17 0 21 Oct 2022
Unsupervised Text Deidentification John X. Morris Justin T. Chiu Ramin Zabih Alexander M. Rush 29 7 0 20 Oct 2022
A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition Darcey Riley David Chiang 23 5 0 19 Oct 2022
Rethinking Sharpness-Aware Minimization as Variational Inference Szilvia Ujváry Zsigmond Telek A. Kerekes Anna Mészáros Ferenc Huszár 33 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 29 7 0 15 Oct 2022
Robust Models are less Over-Confident Julia Grabinski Paul Gavrikov J. Keuper M. Keuper AAML 36 24 0 12 Oct 2022
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR DongSeon Hwang K. Sim Yu Zhang Trevor Strohman 14 10 0 11 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 36 59 0 04 Oct 2022
Using Knowledge Distillation to improve interpretable models in a retail banking context Maxime Biehler Mohamed Guermazi Célim Starck 62 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 26 5 0 23 Sep 2022
Relaxed Attention for Transformer Models Timo Lohrenz Björn Möller Zhengyang Li Tim Fingscheidt KELM 29 11 0 20 Sep 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 31 11 0 19 Sep 2022