DisturbLabel: Regularizing CNN on the Loss Layer

30 April 2016

Jingdong Wang

Meng Wang

Papers citing "DisturbLabel: Regularizing CNN on the Loss Layer"

50 / 108 papers shown

Title
DEAL-300K: Diffusion-based Editing Area Localization with a 300K-Scale Dataset and Frequency-Prompted Baseline Rui Zhang Hongxia Wang Hangqing Liu Yang Zhou Q. Zeng 40 0 0 28 Nov 2025
Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing Georg Siedel Ekagra Gupta Weijia Shao S. Vock Andrey Morozov 118 0 0 22 Jul 2025
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique Shreyas Gururaj Lars Grüne Wojciech Samek Sebastian Lapuschkin Leander Weber 381 0 0 27 May 2025
Intra-class Patch Swap for Self-Distillation Hongjun Choi Eun Som Jeon Ankita Shukla Pavan Turaga 247 0 0 20 May 2025
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 738 7 0 05 Jun 2024
Jeffreys divergence-based regularization of neural network output distribution applied to speaker recognition Pierre-Michel Bousquet Mickael Rouvier UQCV 97 2 0 28 Dec 2023
Mitigating Shortcuts in Language Models with Soft Label EncodingInternational Conference on Language Resources and Evaluation (LREC), 2023 Zirui He Huiqi Deng Haiyan Zhao Ninghao Liu Jundong Li 152 2 0 17 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised LearningIEEE International Conference on Computer Vision (ICCV), 2023 Guan Gui Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi AAML 166 10 0 07 Sep 2023
Model Calibration in Dense Classification with Adaptive Label PerturbationIEEE International Conference on Computer Vision (ICCV), 2023 Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 303 6 0 25 Jul 2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap OptimizingPattern Recognition (Pattern Recogn.), 2023 Songling Zhu Ronghua Shang Bo Yuan Weitong Zhang Yangyang Li Licheng Jiao 137 9 0 09 May 2023
Rethinking Class Imbalance in Machine Learning Ou Wu 186 12 0 06 May 2023
Implicit Counterfactual Data Augmentation for Robust Learning Xiaoling Zhou Ou Wu Michael K. Ng CML OOD BDL 293 4 0 26 Apr 2023
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural NetworksLernen, Wissen, Daten, Analysen (LWA), 2023 Mofassir ul Islam Arif M. Jameel Josif Grabocka Lars Schmidt-Thieme 86 0 0 14 Apr 2023
Keep It Simple: CNN Model Complexity Studies for Interference Classification TasksConference on Computer Communications Workshops (INFOCOM), 2023 T. Oyedare Vijay K. Shah D. Jakubisin Jeffrey H. Reed 111 12 0 06 Mar 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene UnderstandingIEEE Transactions on Automation Science and Engineering (T-ASE), 2022 Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 149 2 0 22 Dec 2022
Class-Level Logit PerturbationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Mengyang Li Fengguang Su O. Wu Tianjin University AAML 267 5 0 13 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 143 0 0 09 Sep 2022
Generalised Co-Salient Object Detection Jiawei Liu Jing Zhang Ruikai Cui Kaihao Zhang Weihao Li Nick Barnes 175 5 0 20 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of MemorizationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 202 18 0 17 Aug 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Dong Wang Marzyeh Ghassemi OOD 345 6 0 05 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy StatebioRxiv (bioRxiv), 2022 Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 353 6 0 30 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy LabelsInternational Conference on Language Resources and Evaluation (LREC), 2022 Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 111 2 0 29 May 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy Teddy Cunningham Konstantin Klemmer Hongkai Wen Hakan Ferhatosmanoglu 160 13 0 18 May 2022
Information-Theoretic Bias Reduction via Causal View of Spurious CorrelationAAAI Conference on Artificial Intelligence (AAAI), 2022 Seonguk Seo Joon-Young Lee Bohyung Han CML 249 27 0 10 Jan 2022
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration Bingyuan Liu Ismail Ben Ayed Adrian Galdran Jose Dolz UQCV 428 94 0 30 Nov 2021
Altering Backward Pass Gradients improves Convergence Bishshoy Das M. Mondal Brejesh Lall S. Joshi Sumantra Dutta Roy 189 0 0 24 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 302 18 0 27 Oct 2021
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix Ziqi Zhang Yuexiang Li Jianguo Huang Kai Ma Tao Xu Yefeng Zheng NoLa 168 5 0 17 Oct 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 263 12 0 13 Oct 2021
Disturbing Target Values for Neural Network Regularization Yongho Kim Hanna Lukashonak Paweena Tarepakdee Klavdia Zavalich Mofassir ul Islam Arif 106 0 0 11 Oct 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph TrainingSDM (SDM), 2021 Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Helen Zhou AI4CE 138 22 0 30 Aug 2021
Bias Loss for Mobile Neural NetworksIEEE International Conference on Computer Vision (ICCV), 2021 L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 179 17 0 23 Jul 2021
Midpoint Regularization: from High Uncertainty Training to Conservative Classification Hongyu Guo 224 3 0 26 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label NoiseNeural Information Processing Systems (NeurIPS), 2021 Jianguo Huang Lue Tao Renchunzi Xie Bo An NoLa 273 99 0 21 Jun 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels Jingfeng Zhang Xilie Xu Bo Han Tongliang Liu Gang Niu Li-zhen Cui Masashi Sugiyama NoLa AAML 184 9 0 31 May 2021
Salient Objects in ClutterIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 365 50 0 07 May 2021
Self-Supervised Learning from Semantically Imprecise DataVISIGRAPP (VISIGRAPP), 2021 C. Brust Björn Barz Joachim Denzler 110 0 0 22 Apr 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
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Leonid Sigal UQCV EDL 200 6 0 10 Dec 2020
Regularization via Adaptive Pairwise Label Smoothing Hongyu Guo 208 1 0 02 Dec 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 213 264 0 25 Nov 2020
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationInterspeech (Interspeech), 2020 Chau Luu P. Bell Steve Renals 231 10 0 27 Oct 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 205 35 0 20 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 187 11 0 14 Sep 2020
Class Interference RegularizationBritish Machine Vision Conference (BMVC), 2020 Bharti Munjal S. Amin Fabio Galasso 159 0 0 04 Sep 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 185 6 0 17 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 299 181 0 21 Jul 2020
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li Haoyi Xiong Haozhe An Chengzhong Xu Dejing Dou ODL 122 43 0 07 Jul 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 403 229 0 22 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin UQCV 147 47 0 20 Jun 2020