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
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 39 10 0 18 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 33 44 0 17 Jun 2021
Learning the Precise Feature for Cluster Assignment Yanhai Gan Xinghui Dong Huiyu Zhou Feng Gao Junyu Dong 33 4 0 11 Jun 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 24 25 0 16 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection Guanjie Huang Fenglong Ma 29 10 0 07 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh V. Chawla 27 260 0 05 May 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 30 18 0 01 May 2021
If your data distribution shifts, use self-learning E. Rusak Steffen Schneider George Pachitariu L. Eck Peter V. Gehler Oliver Bringmann Wieland Brendel Matthias Bethge VLM OOD TTA 79 29 0 27 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 21 58 0 19 Apr 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 12 65 0 17 Apr 2021
COVID-19 sentiment analysis via deep learning during the rise of novel cases Rohitash Chandra Aswin Krishna 30 97 0 05 Apr 2021
A surrogate loss function for optimization of $F_β$ score in binary classification with imbalanced data Namgil Lee Heejung Yang Hojin Yoo 21 8 0 03 Apr 2021
Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation Youngmin Oh Beomjun Kim Bumsub Ham NoLa 27 97 0 02 Apr 2021
UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning Alireza Shamsoshoara Fatemeh Afghah Erik P. Blasch Jonathan D. Ashdown M. Bennis 33 15 0 02 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 32 6 0 01 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training Yoonhyung Kim Changick Kim 16 8 0 01 Apr 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li G. Lee OOD 17 81 0 27 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 36 15 0 22 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Zhiming Luo Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 27 111 0 08 Mar 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 19 77 0 06 Mar 2021
MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection Abir Rahali M. Akhloufi 29 30 0 05 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 32 29 0 05 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 74 14 0 16 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 42 144 0 11 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 18 91 0 10 Feb 2021
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 42 36 0 11 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 26 77 0 26 Dec 2020
Neural Joint Entropy Estimation Yuval Shalev Amichai Painsky I. Ben-Gal 26 8 0 21 Dec 2020
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 35 24 0 19 Dec 2020
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 27 200 0 19 Dec 2020
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera Dan Jia Mats Steinweg Alexander Hermans Bastian Leibe 3DPC 27 11 0 16 Dec 2020
Attentional-Biased Stochastic Gradient Descent Q. Qi Yi Tian Xu R. L. Jin W. Yin Tianbao Yang ODL 26 12 0 13 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 40 122 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 25 6 0 09 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 27 112 0 08 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 271 0 04 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 24 54 0 07 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning Beliz Gunel Jingfei Du Alexis Conneau Ves Stoyanov 18 497 0 03 Nov 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 23 7 0 17 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 113 1,278 0 03 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module Martin Gerdzhev Ryan Razani E. Taghavi Bingbing Liu 3DPC 112 70 0 24 Aug 2020