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
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David Clifton N. Robertson NoLa 403 65 0 07 May 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating MinimizationNeural Processing Letters (NPL), 2020 Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 109 3 0 26 Apr 2020
Does label smoothing mitigate label noise?International Conference on Machine Learning (ICML), 2020 Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 333 390 0 05 Mar 2020
Being Bayesian about Categorical ProbabilityInternational Conference on Machine Learning (ICML), 2020 Taejong Joo U. Chung Minji Seo UQCV BDL 267 67 0 19 Feb 2020
Simple and Effective Prevention of Mode Collapse in Deep One-Class ClassificationIEEE International Joint Conference on Neural Network (IJCNN), 2020 Penny Chong Lukas Ruff Matthias Kirchler Alexander Binder 369 39 0 24 Jan 2020
Rethinking Curriculum Learning with Incremental Labels and Adaptive CompensationBritish Machine Vision Conference (BMVC), 2019 Madan Ravi Ganesh Jason J. Corso ODL 212 10 0 13 Jan 2020
Regularization via Structural Label SmoothingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Weizhi Li Gautam Dasarathy Visar Berisha UQCV 315 57 0 07 Jan 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A SurveyKnowledge-Based Systems (KBS), 2019 G. Algan ilkay Ulusoy NoLa VLM 285 362 0 11 Dec 2019
Learning Rate DropoutIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Huangxing Lin Weihong Zeng Xinghao Ding Yue Huang Yihong Zhuang John Paisley ODL 214 11 0 30 Nov 2019
Preparing Lessons: Improve Knowledge Distillation with Better Supervision Tiancheng Wen Shenqi Lai Xueming Qian 372 77 0 18 Nov 2019
Adversarial Margin Maximization NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Ziang Yan Yiwen Guo Changshui Zhang AAML 89 13 0 14 Nov 2019
Implicit Semantic Data Augmentation for Deep NetworksNeural Information Processing Systems (NeurIPS), 2019 Yulin Wang Xuran Pan Shiji Song Hong Zhang Cheng Wu Gao Huang 222 227 0 26 Sep 2019
Convolutional Neural Networks with Dynamic RegularizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Yi Wang Zhen-Peng Bian Xianqiang Lyu Lap-Pui Chau 150 28 0 26 Sep 2019
Recognition of Handwritten Digit using Convolutional Neural Network in Python with Tensorflow and Comparison of Performance for Various Hidden LayersInternational Conference on Advances in Electrical Engineering (ICAEE), 2019 Fathma Siddique S. Sakib M. Siddique 59 62 0 12 Sep 2019
Self-Teaching NetworksInterspeech (Interspeech), 2019 Liang Lu Eric Sun Jiawei Liu SSL 148 4 0 09 Sep 2019
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets Walid Abdullah Al I. Yun 116 4 0 02 Sep 2019
Regularizing CNN Transfer Learning with Randomised RegressionComputer Vision and Pattern Recognition (CVPR), 2019 Yang Zhong A. Maki 178 14 0 16 Aug 2019
Adaptive Regularization of Labels Qianggang Ding Sifan Wu Hao Sun Jiadong Guo Shutao Xia ODL 122 33 0 15 Aug 2019
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised LearningIEEE International Joint Conference on Neural Network (IJCNN), 2019 Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 624 978 0 08 Aug 2019
Adaptive Regularization via Residual Smoothing in Deep Learning OptimizationIEEE Access (IEEE Access), 2019 Jung-Kyun Cho Junseok Kwon Byung-Woo Hong 200 1 0 23 Jul 2019
AugLabel: Exploiting Word Representations to Augment Labels for Face Attribute ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Binod Bhattarai Rumeysa Bodur Tae-Kyun Kim CVBM 104 5 0 15 Jul 2019
When Does Label Smoothing Help?Neural Information Processing Systems (NeurIPS), 2019 Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 742 2,195 0 06 Jun 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image ClassificationComputer Vision and Pattern Recognition (CVPR), 2019 Bingzhe Wu Shiwan Zhao Guangyu Sun Xiaolu Zhang Zhong Su C. Zeng Zhihong Liu 170 44 0 30 May 2019
Deep Discriminative Clustering Analysis Jianlong Chang Yiwen Guo Lingfeng Wang Gaofeng Meng Shiming Xiang Chunhong Pan 168 52 0 05 May 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering Binghui Chen Weihong Deng 152 30 0 22 Jan 2019
Cascaded V-Net using ROI masks for brain tumor segmentation Adrià Casamitjana Hugo J. Kuijf Bjoern Menze M. Reyes Verónica Vilaplana 119 199 0 30 Dec 2018
Leveraging Class Similarity to Improve Deep Neural Network Robustness P. Negi David M. Chan Mohammad H. Mahoor 117 2 0 23 Dec 2018
Densely Semantically Aligned Person Re-Identification Zhizheng Zhang Cuiling Lan Wenjun Zeng Zhibo Chen 180 276 0 21 Dec 2018
Virtual Class Enhanced Discriminative Embedding Learning Binghui Chen Weihong Deng Haifeng Shen 127 52 0 30 Nov 2018
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization Senwei Liang Y. Khoo Haizhao Yang AI4CE 143 2 0 14 Nov 2018
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network Rezoana Bente Arif M. Siddique Mohammad Mahmudur Rahman Khan M. Oishe 125 43 0 17 Sep 2018
Improving Regression Performance with Distributional Losses Ehsan Imani Martha White UQCV 140 86 0 12 Jun 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise Zhonghui You Jinmian Ye Kunming Li Zenglin Xu Ping Wang 250 80 0 21 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 193 8 0 16 May 2018
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding Bingfeng Luo Yansong Feng Zheng Wang Songfang Huang Rui Yan Dongyan Zhao 126 40 0 15 May 2018
Label Refinery: Improving ImageNet Classification through Label Progression Hessam Bagherinezhad Maxwell Horton Mohammad Rastegari Ali Farhadi 211 197 0 07 May 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 201 23 0 10 Apr 2018
Regularizing Deep Hashing Networks Using GAN Generated Fake Images Libing Geng Yan Pan Jikai Chen Hanjiang Lai GAN 153 0 0 26 Mar 2018
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images Yi Zhu XueQing Deng Shawn D. Newsam 95 55 0 07 Feb 2018
Pseudo-positive regularization for deep person re-identification Fuqing Zhu Xiangwei Kong Haiyan Fu Q. Tian 159 9 0 17 Nov 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 393 3,962 0 16 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax SaturationComputer Vision and Pattern Recognition (CVPR), 2017 Binghui Chen Weihong Deng Junping Du 219 131 0 12 Aug 2017
PatchShuffle Regularization Guoliang Kang Xuanyi Dong Liang Zheng Yi Yang 154 78 0 22 Jul 2017
Adversarial Generation of Training Examples: Applications to Moving Vehicle License Plate Recognition Xinlong Wang Zhipeng Man Mingyu You Chunhua Shen GAN 124 8 0 11 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network Zizhao Zhang Yuanpu Xie Fuyong Xing M. McGough Ling Yang MedIm 171 324 0 08 Jul 2017
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences Zhiyuan Shi Tae-Kyun Kim 237 83 0 28 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition Yan Wang Lingxi Xie Chenxi Liu Ya Zhang Wenjun Zhang Alan Yuille 158 55 0 20 Mar 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 279 897 0 04 Mar 2017
Deep Collaborative Learning for Visual Recognition Yan Wang Lingxi Xie Ya Zhang Wenjun Zhang Alan Yuille 126 4 0 03 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output DistributionsInternational Conference on Learning Representations (ICLR), 2017 Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 437 1,213 0 23 Jan 2017