Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

20 May 2018

Papers citing "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels"

50 / 337 papers shown

Title
Pre-Training Representations of Binary Code Using Contrastive Learning Yifan Zhang Chen Huang Yueke Zhang Kevin Cao Scott Thomas Andersen Huajie Shao Kevin Leach Yu Huang 50 3 0 11 Oct 2022
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification Zeqi Chen Zhichao Cui Chi Zhang Jiahuan Zhou Yuehu Liu NoLa 46 17 0 07 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 36 59 0 04 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 33 2 0 02 Oct 2022
TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method Jiaqi Luo Zihao Wei Junkai Man Shi-qian Xu 26 8 0 28 Sep 2022
Fingerprinting Robot Movements via Acoustic Side Channel Ryan Shah Mujeeb Ahmed Shishir Nagaraja 8 2 0 21 Sep 2022
Computed Decision Weights and a New Learning Algorithm for Neural Classifiers Eugene Wong 16 0 0 17 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 31 3 0 13 Sep 2022
CoreDeep: Improving Crack Detection Algorithms Using Width Stochasticity R. Pandey Akshit Achara 139 1 0 10 Sep 2022
Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures Igor Cherepanov Alex Ulmer Jonathan Geraldi Joewono Jörn Kohlhammer FAtt 25 5 0 05 Sep 2022
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning Sheng Zhang Hao Cheng Jianfeng Gao Hoifung Poon 33 47 0 30 Aug 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 Aug 2022
Mere Contrastive Learning for Cross-Domain Sentiment Analysis Yun Luo Fang Guo Zihan Liu Yue Zhang 39 15 0 18 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 28 2 0 17 Aug 2022
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Ganlong Zhao Guanbin Li Yipeng Qin Feng Liu Yizhou Yu NoLa 33 22 0 29 Jul 2022
Code Comment Inconsistency Detection with BERT and Longformer Theo Steiner Rui Zhang 28 4 0 29 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 43 136 0 21 Jul 2022
Robust Object Detection With Inaccurate Bounding Boxes Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Ziming Zhang 13 21 0 20 Jul 2022
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation Lin Bai Yiming Zhao Xinming Huang 3DPC 18 3 0 12 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei Wang NoLa 30 44 0 12 Jul 2022
WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects Subhrajit Nag Dhruv Makwana S. R. Sparsh Mittal C.Krishna Mohan 17 49 0 03 Jul 2022
End-to-end cell recognition by point annotation Zhongyi Shui Shichuan Zhang Chenglu Zhu Bingchuan Wang Pingyi Chen S. Zheng Lin Yang 23 10 0 01 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 19 6 0 30 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 27 5 0 27 Jun 2022
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation Lin Li Long Chen Yifeng Huang Zhimeng Zhang Songyang Zhang Jun Xiao NoLa 34 72 0 07 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 39 65 0 06 Jun 2022
Revisiting the Importance of Amplifying Bias for Debiasing Jungsoo Lee Jeonghoon Park Daeyoung Kim Juyoung Lee Edward Choi Jaegul Choo 47 21 0 29 May 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher Jing Jiang Weihong Deng 32 23 0 28 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 25 1 0 27 May 2022
Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels Ryan Shah Chuadhry Mujeeb Ahmed Shishir Nagaraja 19 2 0 17 May 2022
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification George-Eduard Zaharia Razvan-Alexandru Smadu Dumitru-Clementin Cercel M. Dascalu 30 3 0 15 May 2022
Federated Learning with Noisy User Feedback Rahul Sharma Anil Ramakrishna Ansel MacLaughlin Anna Rumshisky Jimit Majmudar Clement Chung Salman Avestimehr Rahul Gupta FedML 21 10 0 06 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 40 39 0 02 May 2022
Unsupervised Learning of Unbiased Visual Representations C. Barbano Enzo Tartaglione Marco Grangetto SSL CML OOD 30 1 0 26 Apr 2022
SETTI: A Self-supervised Adversarial Malware Detection Architecture in an IoT Environment Marjan Golmaryami R. Taheri Zahra Pooranian Mohammad Shojafar Pei Xiao 33 12 0 16 Apr 2022
The Tree Loss: Improving Generalization with Many Classes Yujie Wang Michael Izbicki 17 1 0 16 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 29 54 0 10 Apr 2022
Towards Robust Adaptive Object Detection under Noisy Annotations Xinyu Liu Wuyang Li Qiushi Yang Baopu Li Yixuan Yuan 17 29 0 06 Apr 2022
Agreement or Disagreement in Noise-tolerant Mutual Learning? Jiarun Liu Daguang Jiang Yukun Yang Ruirui Li NoLa 23 2 0 29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 30 98 0 28 Mar 2022
Learning to segment fetal brain tissue from noisy annotations Davood Karimi C. Rollins C. Velasco-Annis Abdelhakim Ouaalam Ali Gholipour 26 25 0 25 Mar 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction Alex Morehead Watchanan Chantapakul Jianlin Cheng 19 0 0 23 Mar 2022
Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation Hensel Donato Jahja N. Yudistira Sutrisno ViT 18 8 0 22 Mar 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 32 4 0 21 Mar 2022
Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing Jun Qi Chao-Han Huck Yang Pin-Yu Chen Javier Tejedor 25 16 0 11 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 27 172 0 08 Mar 2022
MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification and Counting (CoNiC) Challenge Thi Tuong Vi Vo Soo-Hyung Kim Taebum Lee 19 1 0 04 Mar 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 27 106 0 28 Feb 2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking Fanghua Ye Yue Feng Emine Yilmaz 21 21 0 26 Feb 2022
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework Zhengqing Miao Xin Zhang C. Menon Yelong Zheng Mei-rong Zhao Dong Ming 35 18 0 19 Feb 2022