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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 / 985 papers shown

Title
UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning Zhigang Dai Bolun Cai Yugeng Lin Junying Chen SSL 147 6 0 19 Mar 2021
Smoothing and Shrinking the Sparse Seq2Seq Search SpaceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Ben Peters André F. T. Martins 249 17 0 18 Mar 2021
Robustly Optimized and Distilled Training for Natural Language Understanding Haytham ElFadeel Stanislav Peshterliev VLM OffRL 92 1 0 16 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 251 116 0 11 Mar 2021
Intraclass clustering: an implicit learning ability that regularizes DNNsInternational Conference on Learning Representations (ICLR), 2021 Simon Carbonnelle Christophe De Vleeschouwer 158 9 0 11 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep SubnetworksIEEE International Conference on Computer Vision (ICCV), 2021 Alexandre Ramé Rémy Sun Matthieu Cord UQCV 279 63 0 10 Mar 2021
Knowledge Evolution in Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021 Ahmed Taha Abhinav Shrivastava L. Davis 154 25 0 09 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan Jan van Gemert VLM 122 13 0 05 Mar 2021
Unbalanced minibatch Optimal Transport; applications to Domain AdaptationInternational Conference on Machine Learning (ICML), 2021 Kilian Fatras Thibault Séjourné Nicolas Courty Rémi Flamary OT 172 174 0 05 Mar 2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive LearningIEEE International Conference on Robotics and Automation (ICRA), 2021 David S. W. Williams Matthew Gadd D. Martini Paul Newman OODD 127 15 0 01 Mar 2021
Searching for Robustness: Loss Learning for Noisy Classification TasksIEEE International Conference on Computer Vision (ICCV), 2020 Boyan Gao Henry Gouk Timothy M. Hospedales OOD NoLa 146 21 0 27 Feb 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-DistillationNeural Information Processing Systems (NeurIPS), 2021 Kenneth Borup L. Andersen 164 16 0 25 Feb 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract MeaningInternational Workshop on Semantic Evaluation (SemEval), 2021 Xin Xie Xiangnan Chen Xiang Chen Yong Wang Ningyu Zhang Shumin Deng Huajun Chen 186 2 0 25 Feb 2021
From Universal Language Model to Downstream Task: Improving RoBERTa-Based Vietnamese Hate Speech DetectionInternational Conference on Knowledge and Systems Engineering (KSE), 2020 Quang Huu Pham Viet-Anh Nguyen Linh Bao Doan Ngoc N. Tran Ta Minh Thanh 78 11 0 24 Feb 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2021 Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 334 351 0 23 Feb 2021
Learning Neural Network SubspacesInternational Conference on Machine Learning (ICML), 2021 Mitchell Wortsman Maxwell Horton Carlos Guestrin Ali Farhadi Mohammad Rastegari UQCV 305 96 0 20 Feb 2021
Essentials for Class Incremental Learning Sudhanshu Mittal Silvio Galesso Thomas Brox CLL 123 111 0 18 Feb 2021
Understanding Instance-Level Label Noise: Disparate Impacts and TreatmentsInternational Conference on Machine Learning (ICML), 2021 Yang Liu NoLa 122 38 0 10 Feb 2021
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 132 10 0 09 Feb 2021
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection Dara Bahri Heinrich Jiang Yi Tay Donald Metzler OODD 145 3 0 09 Feb 2021
On the Reproducibility of Neural Network Predictions Srinadh Bhojanapalli Kimberly Wilber Andreas Veit A. S. Rawat Seungyeon Kim A. Menon Sanjiv Kumar 194 37 0 05 Feb 2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff PerspectiveInternational Conference on Learning Representations (ICLR), 2021 Helong Zhou Liangchen Song Jiajie Chen Ye Zhou Guoli Wang Junsong Yuan Qian Zhang 339 199 0 01 Feb 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Prachi Agrawal Han Yang Yongqiang Chen James Cheng 259 6 0 27 Jan 2021
Spending Your Winning Lottery Better After Drawing It Ajay Jaiswal Haoyu Ma Tianlong Chen Ying Ding Zinan Lin 219 6 0 08 Jan 2021
From Black-box to White-box: Examining Confidence Calibration under different Conditions Franziska Schwaiger Maximilian Henne Fabian Küppers Felippe Schmoeller da Roza Karsten Roscher Anselm Haselhoff 126 11 0 08 Jan 2021
Unsupervised Domain Adaptation of Black-Box Source ModelsBritish Machine Vision Conference (BMVC), 2021 Haojian Zhang Yabin Zhang Kui Jia Lei Zhang 304 61 0 08 Jan 2021
Bridging In- and Out-of-distribution Samples for Their Better Discriminability Engkarat Techapanurak Anh-Chuong Dang Takayuki Okatani OODD 244 4 0 07 Jan 2021
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge Xiu-Shen Wei Yu-Yan Xu Yazhou Yao Jia Wei Si Xi ... Taolue Xue Haipeng Jing Zhiheng Wang Tianming Zhang Mingwen Zhang 129 0 0 29 Dec 2020
Spatial Contrastive Learning for Few-Shot Classification Yassine Ouali C´eline Hudelot Myriam Tami 123 58 0 26 Dec 2020
Learning with RetrospectionAAAI Conference on Artificial Intelligence (AAAI), 2020 Xiang Deng Zhongfei Zhang 107 20 0 24 Dec 2020
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning A. Lemay C. Gros Z. Zhuo Jie Zhang Y. Duan Julien Cohen-Adad Yaou Liu 394 4 0 23 Dec 2020
Weakly Supervised Label SmoothingEuropean Conference on Information Retrieval (ECIR), 2020 Gustavo Penha C. Hauff 183 4 0 15 Dec 2020
Nested Named Entity Recognition with Partially-Observed TreeCRFsAAAI Conference on Artificial Intelligence (AAAI), 2020 Yao Fu Chuanqi Tan Mosha Chen Songfang Huang Fei Huang 206 59 0 15 Dec 2020
Writing Polishment with Simile: Task, Dataset and A Neural ApproachAAAI Conference on Artificial Intelligence (AAAI), 2020 Jiayi Zhang Zhi Cui Xiaoqiang Xia Yalong Guo Yanran Li Chen Wei Jianwei Cui 201 19 0 15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling TransferIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020 Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 303 316 0 14 Dec 2020
Normalized Label Distribution: Towards Learning Calibrated, Adaptable and Efficient Activation Maps Utkarsh Uppal Bharat Giddwani AAML 55 0 0 12 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space PoisoningIEEE Signal Processing Letters (IEEE SPL), 2020 Ujjwal Upadhyay Prerana Mukherjee 260 8 0 09 Dec 2020
Label Confusion Learning to Enhance Text Classification ModelsAAAI Conference on Artificial Intelligence (AAAI), 2020 Biyang Guo Songqiao Han Xiao Han Hailiang Huang Ting Lu 198 77 0 09 Dec 2020
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey Xiaoqin Zhang Yan Hu Zunjie Xiao Jiansheng Fang Risa Higashita Jiang-Dong Liu 289 48 0 09 Dec 2020
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain AdaptationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020 Aadarsh Sahoo Yikang Shen Rogerio Feris Kate Saenko Abir Das VLM 229 28 0 06 Dec 2020
Cross-Layer Distillation with Semantic CalibrationAAAI Conference on Artificial Intelligence (AAAI), 2020 Defang Chen Jian-Ping Mei Yuan Zhang Can Wang Yan Feng Chun-Yen Chen FedML 270 347 0 06 Dec 2020
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech RecognitionInterspeech (Interspeech), 2020 Genta Indra Winata Guangsen Wang Caiming Xiong Guosheng Lin VLM 192 53 0 03 Dec 2020
Regularization via Adaptive Pairwise Label Smoothing Hongyu Guo 208 1 0 02 Dec 2020
Disentangling Label Distribution for Long-tailed Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2020 Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 270 286 0 01 Dec 2020
Solvable Model for Inheriting the Regularization through Knowledge DistillationMathematical and Scientific Machine Learning (MSML), 2020 Luca Saglietti Lenka Zdeborová 297 22 0 01 Dec 2020
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale DataApplied Soft Computing (ASC), 2020 Nanqing Dong Michael C. Kampffmeyer Xiaodan Liang Min Xu Irina Voiculescu Eric Xing 131 19 0 28 Nov 2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness Yilun Jin Lixin Fan Kam Woh Ng Ce Ju Qiang Yang AAML OOD 80 1 0 27 Nov 2020
Decoding and Diversity in Machine Translation Nicholas Roberts Davis Liang Graham Neubig Zachary Chase Lipton 131 23 0 26 Nov 2020
Delving Deep into Label SmoothingIEEE Transactions on Image Processing (TIP), 2020 Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 209 263 0 25 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO ApproximationsAAAI Conference on Artificial Intelligence (AAAI), 2020 Hao Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 364 26 0 21 Nov 2020