When Does Label Smoothing Help?

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 281 papers shown

Title
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification Arezoo Hatefi Xuan-Son Vu Monowar Bhuyan Frank Drewes VLM 30 0 0 10 May 2025
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks Erin Carson Xinye Chen 49 0 0 10 Apr 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 72 0 0 19 Mar 2025
Probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information Youngju Joung Sehyun Lee Jaesik Choi AAML 43 1 0 12 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
Confidence-Based Annotation Of Brain Tumours In Ultrasound Alistair Weld L. Dixon Alfie Roddan Giulio Anichini Sophie Camp Stamatia Giannarou 65 0 0 24 Feb 2025
Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation Hieu Nguyen Zihao He Shoumik Atul Gandre Ujjwal Pasupulety Sharanya Kumari Shivakumar Kristina Lerman HILM 54 1 0 16 Feb 2025
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification Jiachen Li Xiaojin Gong DiffM 79 0 0 10 Feb 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 125 1 0 29 Jan 2025
Towards Robust Incremental Learning under Ambiguous Supervision Rui Wang Mingxuan Xia Chang Yao Lei Feng Junbo Zhao Gang Chen Haobo Wang CLL 129 0 0 23 Jan 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 49 1 0 13 Jan 2025
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Jinjing Zhu Songze Li Lin Wang 47 0 0 13 Jan 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 175 0 0 18 Dec 2024
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 56 0 0 14 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 75 0 0 29 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum S. Adiga Ravi Tandon 66 0 0 18 Nov 2024
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition Zhili Lai Chunmei Qing Junpeng Tan Wanxiang Luo Xiangmin Xu 21 1 0 24 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 48 1 0 11 Sep 2024
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution Jaouad Dabounou 29 0 0 04 Sep 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 22 0 0 05 Aug 2024
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer Sungmin Kang Jaeha Song Jihie Kim MedIm 34 2 0 01 Aug 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 45 0 0 22 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 24 0 0 13 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 47 1 0 13 Jul 2024
Accessible, At-Home Detection of Parkinson's Disease via Multi-task Video Analysis Md. Saiful Islam Tariq Adnan Jan Freyberg Sangwu Lee Abdelrahman Abdelkader ... Cathe Schwartz Karen Jaffe Ruth B. Schneider E. R. Dorsey Ehsan Hoque 70 0 0 21 Jun 2024
Just How Flexible are Neural Networks in Practice? Ravid Shwartz-Ziv Micah Goldblum Arpit Bansal C. B. Bruss Yann LeCun Andrew Gordon Wilson 35 4 0 17 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 84 10 0 15 Jun 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 63 1 0 06 Jun 2024
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 36 3 0 04 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 62 1 0 03 Jun 2024
Navigating Conflicting Views: Harnessing Trust for Learning Jueqing Lu Lan Du Wray L. Buntine M. Jung Joanna Dipnall Belinda Gabbe 38 0 0 03 Jun 2024
Pretrained Mobility Transformer: A Foundation Model for Human Mobility Xinhua Wu Haoyu He Yanchao Wang Qi Wang 29 1 0 29 May 2024
Instruct-ReID++: Towards Universal Purpose Instruction-Guided Person Re-identification Weizhen He Yiheng Deng Yunfeng Yan Feng Zhu Yizhou Wang Lei Bai Qingsong Xie Donglian Qi Wanli Ouyang Shixiang Tang 93 2 0 28 May 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation Yawen Zou Chunzhi Gu Junzhou Yu Shangce Gao Chao Zhang 35 1 0 26 May 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 43 2 0 22 Mar 2024
Class and Region-Adaptive Constraints for Network Calibration Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz 32 1 0 19 Mar 2024
Dynamic Cross Attention for Audio-Visual Person Verification R Gnana Praveen Jahangir Alam 38 1 0 07 Mar 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 44 10 0 05 Mar 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 45 1 0 04 Mar 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 20 0 0 14 Feb 2024
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation Muthuraman Chidambaram Rong Ge AAML 18 0 0 10 Feb 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 70 1 0 17 Jan 2024
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification Victor G. Turrisi da Costa Nicola Dall’Asen Yiming Wang N. Sebe Elisa Ricci 38 3 0 05 Dec 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 55 1 0 02 Nov 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 11 2 0 16 Oct 2023
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision Cong Duan Zixuan Liu Jiahao Xia Minghai Zhang Jiacai Liao Libo Cao 29 3 0 08 Oct 2023
Improving Machine Learning Robustness via Adversarial Training Long Dang T. Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 28 2 0 22 Sep 2023
Semantic-embedded Similarity Prototype for Scene Recognition Chuanxin Song Hanbo Wu X. Ma Yibin Li 24 3 0 11 Aug 2023
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition Ji-Hee Moon Junseok K. Lee Yu-Ling Lee Seongsik Park 22 4 0 04 Aug 2023