DisturbLabel: Regularizing CNN on the Loss Layer

30 April 2016

Jingdong Wang

Meng Wang

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

50 / 105 papers shown

Title
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise T. Pouplin Alan Jeffares Nabeel Seedat Mihaela van der Schaar 50 3 0 05 Jun 2024
Jeffreys divergence-based regularization of neural network output distribution applied to speaker recognition Pierre-Michel Bousquet Mickael Rouvier UQCV 6 2 0 28 Dec 2023
Mitigating Shortcuts in Language Models with Soft Label Encoding Zirui He Huiqi Deng Haiyan Zhao Ninghao Liu Mengnan Du 24 2 0 17 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning Guan Gui Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi AAML 23 7 0 07 Sep 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 39 5 0 25 Jul 2023
DynamicKD: An Effective Knowledge Distillation via Dynamic Entropy Correction-Based Distillation for Gap Optimizing Songling Zhu Ronghua Shang Bo Yuan Weitong Zhang Yangyang Li Licheng Jiao 18 7 0 09 May 2023
Rethinking Class Imbalance in Machine Learning Ou Wu 24 10 0 06 May 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 22 4 0 26 Apr 2023
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks Mofassir ul Islam Arif M. Jameel Josif Grabocka Lars Schmidt-Thieme 11 0 0 14 Apr 2023
Keep It Simple: CNN Model Complexity Studies for Interference Classification Tasks T. Oyedare Vijay K. Shah D. Jakubisin Jeffrey H. Reed 17 5 0 06 Mar 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding Mengya Xu Mobarakol Islam Ben Glocker Hongliang Ren 23 1 0 22 Dec 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 29 3 0 13 Sep 2022
Calibrating Segmentation Networks with Margin-based Label Smoothing Balamurali Murugesan Bingyuan Liu Adrian Galdran Ismail Ben Ayed Jose Dolz UQCV 30 0 0 09 Sep 2022
Generalised Co-Salient Object Detection Jiawei Liu Jing Zhang Ruikai Cui Kaihao Zhang Weihao Li Nick Barnes 20 3 0 20 Aug 2022
On the Privacy Effect of Data Enhancement via the Lens of Memorization Xiao-Li Li Qiongxiu Li Zhan Hu Xiaolin Hu 27 13 0 17 Aug 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance Nathan Ng Neha Hulkund Kyunghyun Cho Marzyeh Ghassemi OOD 11 4 0 05 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 13 6 0 30 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 13 2 0 29 May 2022
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy Teddy Cunningham Konstantin Klemmer Hongkai Wen Hakan Ferhatosmanoglu 25 11 0 18 May 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation Seonguk Seo Joon-Young Lee Bohyung Han CML 23 24 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 24 65 0 30 Nov 2021
Altering Backward Pass Gradients improves Convergence Bishshoy Das M. Mondal Brejesh Lall S. Joshi Sumantra Dutta Roy 10 0 0 24 Nov 2021
Iterative Teaching by Label Synthesis Weiyang Liu Zhen Liu Hanchen Wang Liam Paull Bernhard Schölkopf Adrian Weller 35 16 0 27 Oct 2021
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix Ziqi Zhang Yuexiang Li Hongxin Wei Kai Ma Tao Xu Yefeng Zheng NoLa 17 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 52 10 0 13 Oct 2021
Disturbing Target Values for Neural Network Regularization Yongho Kim Hanna Lukashonak Paweena Tarepakdee Klavdia Zavalich Mofassir ul Islam Arif 11 0 0 11 Oct 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 21 18 0 30 Aug 2021
Bias Loss for Mobile Neural Networks L. Abrahamyan Valentin Ziatchin Yiming Chen Nikos Deligiannis 11 14 0 23 Jul 2021
Midpoint Regularization: from High Uncertainty Training to Conservative Classification Hongyu Guo 18 3 0 26 Jun 2021
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei Lue Tao Renchunzi Xie Bo An NoLa 16 83 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 15 9 0 31 May 2021
Salient Objects in Clutter Deng-Ping Fan Jing Zhang Gang Xu Mingg-Ming Cheng Ling Shao 31 42 0 07 May 2021
Self-Supervised Learning from Semantically Imprecise Data C. Brust Björn Barz Joachim Denzler 25 0 0 22 Apr 2021
Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection Dara Bahri Heinrich Jiang Yi Tay Donald Metzler OODD 10 3 0 09 Feb 2021
Uncertainty-Aware Deep Calibrated Salient Object Detection Jing Zhang Yuchao Dai Xin Yu Mehrtash Harandi Nick Barnes Richard I. Hartley UQCV EDL 18 6 0 10 Dec 2020
Regularization via Adaptive Pairwise Label Smoothing Hongyu Guo 18 0 0 02 Dec 2020
Delving Deep into Label Smoothing Chang-Bin Zhang Peng-Tao Jiang Qibin Hou Yunchao Wei Qi Han Zhen Li Ming-Ming Cheng 18 211 0 25 Nov 2020
Leveraging speaker attribute information using multi task learning for speaker verification and diarization Chau Luu P. Bell Steve Renals 11 8 0 27 Oct 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 19 30 0 20 Sep 2020
Adaptive Label Smoothing Ujwal Krothapalli A. Lynn Abbott 25 9 0 14 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 11 0 0 04 Sep 2020
Intelligence plays dice: Stochasticity is essential for machine learning M. Sabuncu 16 6 0 17 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 17 155 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 20 39 0 07 Jul 2020
Self-Knowledge Distillation with Progressive Refinement of Targets Kyungyul Kim Byeongmoon Ji Doyoung Yoon Sangheum Hwang ODL 11 175 0 22 Jun 2020
Towards Understanding Label Smoothing Yi Tian Xu Yuanhong Xu Qi Qian Hao Li R. L. Jin UQCV 16 40 0 20 Jun 2020
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 13 60 0 07 May 2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization Xingjian Li Haoyi Xiong Haozhe An Dejing Dou Chengzhong Xu FedML 11 3 0 26 Apr 2020
Does label smoothing mitigate label noise? Michal Lukasik Srinadh Bhojanapalli A. Menon Surinder Kumar NoLa 20 346 0 05 Mar 2020
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 22 58 0 19 Feb 2020