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When Does Label Smoothing Help?

Neural Information Processing Systems (NeurIPS), 2019

6 June 2019

Papers citing "When Does Label Smoothing Help?"

50 / 982 papers shown

Title
Combining Priors with Experience: Confidence Calibration Based on Binomial Process ModelingAAAI Conference on Artificial Intelligence (AAAI), 2024 Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 279 1 0 14 Dec 2024
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability EstimationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Junha Lee Sojung An Sujeong You Namik Cho 205 0 0 08 Dec 2024
Accurate early detection of Parkinson's disease from SPECT imaging through Convolutional Neural Networks R. Prashanth MedIm 183 1 0 06 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 440 1 0 29 Nov 2024
Reward Modeling with Ordinal Feedback: Wisdom of the Crowd Shang Liu Yu Pan Guanting Chen Xiaocheng Li 282 3 0 19 Nov 2024
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum Sudarshan Adiga Ravi Tandon 366 0 0 18 Nov 2024
On the Privacy Risk of In-context Learning Haonan Duan Adam Dziedzic Mohammad Yaghini Nicolas Papernot Franziska Boenisch SILM PILM 240 53 0 15 Nov 2024
Labels in Extremes: How Well Calibrated are Extreme Multi-label Classifiers? Nasib Ullah Erik Schultheis Jinbin Zhang Rohit Babbar 153 1 0 06 Nov 2024
Typicalness-Aware Learning for Failure DetectionNeural Information Processing Systems (NeurIPS), 2024 Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 240 5 0 04 Nov 2024
Mitigating Spurious Correlations via Disagreement ProbabilityNeural Information Processing Systems (NeurIPS), 2024 Hyeonggeun Han Sehwan Kim Hyungjun Joo Sangwoo Hong Jungwoo Lee 452 4 0 04 Nov 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Jianyi Zhang Da-Cheng Juan Cyrus Rashtchian Chun-Sung Ferng Heinrich Jiang Yiran Chen 319 12 0 01 Nov 2024
Web-Scale Visual Entity Recognition: An LLM-Driven Data ApproachNeural Information Processing Systems (NeurIPS), 2024 Mathilde Caron Alireza Fathi Cordelia Schmid Ahmet Iscen 189 3 0 31 Oct 2024
Self-Relaxed Joint Training: Sample Selection for Severity Estimation with Ordinal Noisy LabelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Shumpei Takezaki Kiyohito Tanaka S. Uchida NoLa 149 0 0 29 Oct 2024
Analytic Continual Test-Time Adaptation for Multi-Modality Corruption Yufei Zhang Yicheng Xu Jianguo Huang Zhiping Lin Xiaofeng Zou Cen Chen Huiping Zhuang TTA 188 1 0 29 Oct 2024
Calibrating Deep Neural Network using Euclidean Distance Wenhao Liang Chang George Dong Liangwei Nathan Zheng Wei Zhang Wei Emma Zhang UQCV 267 5 0 23 Oct 2024
Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Hao Peng Xin Lv Yushi Bai Zijun Yao Jing Zhang Lei Hou Juanzi Li 207 7 0 21 Oct 2024
Retrospective Learning from InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Zizhao Chen Mustafa Omer Gul Yiwei Chen Gloria Geng Anne Wu Yoav Artzi LRM 283 3 0 17 Oct 2024
Feature Clipping for Uncertainty CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2024 Linwei Tao Minjing Dong Chang Xu UQCV 172 4 0 16 Oct 2024
Calibrating Verbalized Probabilities for Large Language Models Cheng Wang Gyuri Szarvas Georges Balazs Pavel Danchenko P. Ernst 204 1 0 09 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective Jonghyun Park Juyeop Kim Jong-Seok Lee 221 1 0 05 Oct 2024
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular FeedbackConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Kyuyoung Kim Ah Jeong Seo Hao Liu Jinwoo Shin Kimin Lee 132 8 0 04 Oct 2024
Probabilistic road classification in historical maps using synthetic data and deep learning Dominik J. Mühlematter Sebastian Schweizer Chenjing Jiao Xue Xia M. Heitzler L. Hurni 171 1 0 03 Oct 2024
Calibrating Language Models with Adaptive Temperature ScalingConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Johnathan Xie Annie S. Chen Yoonho Lee Eric Mitchell Chelsea Finn 164 29 0 29 Sep 2024
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth EstimationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Yi Gu Y. Otake Keisuke Uemura Masaki Takao Mazen Soufi S. Okada Nobuhiko Sugano Hugues Talbot Yoshinobu Sato 127 1 0 25 Sep 2024
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion RecognitionBalkan Conference in Informatics (BI), 2024 Zhili Lai Chunmei Qing Junpeng Tan Wanxiang Luo Xiangmin Xu 215 3 0 24 Sep 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features Xin Wei Yaling Tao Changde Du Gangming Zhao Yizhou Yu Jinpeng Li 186 0 0 24 Sep 2024
Critic Loss for Image ClassificationInternational Conference on Machine Learning and Applications (ICMLA), 2024 B. Rappazzo Aaron Ferber Daniel Schwalbe-Koda VLM 145 0 0 23 Sep 2024
The Role of Deep Learning Regularizations on Actors in Offline RL Denis Tarasov Anja Surina Çağlar Gülçehre OffRL AI4CE 274 2 0 11 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy Coby Penso Jacob Goldberger 212 0 0 06 Sep 2024
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image SegmentationMachine Learning for Biomedical Imaging (MLBI), 2024 P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 241 1 0 05 Sep 2024
Adaptive Class Emergence Training: Enhancing Neural Network Stability and Generalization through Progressive Target Evolution Jaouad Dabounou 194 0 0 04 Sep 2024
Effects of Common Regularization Techniques on Open-Set Recognition Zachary Rabin Jim Davis Benjamin Lewis Matthew Scherreik BDL 127 0 0 03 Sep 2024
Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation Andrea Maracani Lorenzo Rosasco Lorenzo Natale 185 0 0 01 Sep 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 Kashun Shum Minrui Xu Jianshu Zhang Zixin Chen Shizhe Diao Hanze Dong Jipeng Zhang Muhammad Omer Raza 147 8 0 22 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Minghao Liu Zonglin Di Jiaheng Wei Zhongruo Wang Hengxiang Zhang ... Haobo Wang Lei Feng Yongfeng Zhang James Davis Yang Liu 191 17 0 21 Aug 2024
ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target LanguageEuropean Conference on Artificial Intelligence (ECAI), 2024 Yongkang Liu Feng Shi Daling Wang Yifei Zhang Hinrich Schütze 148 1 0 16 Aug 2024
Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization Yangdi Wang Zhi-Hai Zhang Su Xiu Xu Wenming Guo 208 0 0 09 Aug 2024
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy MaximizationInternational Conference on Computational Linguistics (COLING), 2024 Zhaohan Zhang Ziquan Liu Ioannis Patras 220 5 0 09 Aug 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration Luciana Ferrer Daniel Ramos UQCV 141 8 0 05 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 161 0 0 05 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 145 2 0 04 Aug 2024
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion TransformerBritish Machine Vision Conference (BMVC), 2024 Sungmin Kang Jaeha Song Jihie Kim MedIm 243 2 0 01 Aug 2024
Representation Magnitude has a Liability to Privacy Vulnerability Xingli Fang Jung-Eun Kim 170 1 0 23 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 561 1 0 22 Jul 2024
D $^4$ M: Dataset Distillation via Disentangled Diffusion Model Duo Su Junjie Hou Weizhi Gao Yingjie Tian Bowen Tang DD 233 48 0 21 Jul 2024
Robust Calibration of Large Vision-Language Adapters Balamurali Murugesan Julio Silva-Rodríguez Ismail Ben Ayed Jose Dolz OODD VLM 287 20 0 18 Jul 2024
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset Mijoo Kim Junseok Kwon UQCV 114 3 0 17 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 128 1 0 13 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 326 7 0 13 Jul 2024
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations Zhi Qin Tan Olga Isupova Gustavo Carneiro Xiatian Zhu Yunpeng Li ObjD 158 1 0 10 Jul 2024