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
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining Shixiang Tang Cheng Chen Qingsong Xie Meilin Chen Yizhou Wang ... Feng Zhu Haiyang Yang Li Yi Rui Zhao Wanli Ouyang VLM 29 36 0 10 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai 3DPC 32 10 0 09 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 38 10 0 03 Mar 2023
Speaker Recognition in Realistic Scenario Using Multimodal Data Saqlain Hussain Shah M. S. Saeed Shah Nawaz Muhammad Haroon Yousaf CVBM 26 8 0 25 Feb 2023
Complementary to Multiple Labels: A Correlation-Aware Correction Approach Yi Gao Miao Xu Min-Ling Zhang 19 0 0 25 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 39 1 0 22 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 21 1 0 17 Feb 2023
Learning from Noisy Crowd Labels with Logics Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 32 7 0 13 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 23 39 0 31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 32 5 0 31 Jan 2023
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathology Nicolas Nerrienet Rémy Peyret Marie Sockeel Stéphane Sockeel MedIm 26 4 0 30 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 43 9 0 12 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 42 0 0 04 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination Juan Ignacio Bravo Pérez-Villar Álvaro García-Martín Jesús Bescós 33 15 0 27 Dec 2022
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control Byeong-Hoo Lee Jeong-Hyun Cho Byoung-Hee Kwon 11 0 0 14 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 18 7 0 03 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 25 29 0 02 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 44 4 0 01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 31 2 0 01 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers Wanqian Yang Polina Kirichenko Micah Goldblum A. Wilson DRL 30 10 0 28 Nov 2022
Medical Image Segmentation Review: The success of U-Net Reza Azad Ehsan Khodapanah Aghdam Amelie Rauland Yiwei Jia Atlas Haddadi Avval Afshin Bozorgpour Sanaz Karimijafarbigloo Joseph Paul Cohen Ehsan Adeli Dorit Merhof SSeg 28 265 0 27 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 32 2 0 25 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 23 0 0 24 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 30 33 0 23 Nov 2022
Simultaneous Multiple Object Detection and Pose Estimation using 3D Model Infusion with Monocular Vision Cong Li Shijie Sun Xiangyu Song Huansheng Song Naveed Akhtar Ajmal Mian 3DPC 33 1 0 21 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 41 20 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 24 3 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 24 2 0 20 Nov 2022
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning Guanqin Zhang Jiankun Sun Feng Xu H.M.N. Dilum Bandara Shiping Chen Yulei Sui Tim Menzies OOD 15 0 0 18 Nov 2022
ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA Tingbo Liao Huang-ru Liao Shan Yang Jiemei Yao Li-Yuan Tsao ... Bo Wun Cheng Chen-Hao Chao Chia-Che Chang Yi-Chen Lo Chun-Yi Lee 24 1 0 16 Nov 2022
TIER-A: Denoising Learning Framework for Information Extraction Yongkang Li M. Zhang 21 0 0 13 Nov 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Danny Chen Jian Wu NoLa 33 34 0 12 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling Inwoo Hwang Sangjun Lee Yunhyeok Kwak Seong Joon Oh Damien Teney Jin-Hwa Kim Byoung-Tak Zhang OOD 334 28 0 04 Nov 2022
MPCFormer: fast, performant and private Transformer inference with MPC Dacheng Li Rulin Shao Hongyi Wang Han Guo Eric P. Xing Haotong Zhang 13 79 0 02 Nov 2022
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability Zhe Li Man-Wai Mak SSL 26 6 0 29 Oct 2022
The Fisher-Rao Loss for Learning under Label Noise Henrique K. Miyamoto Fábio C. C. Meneghetti Sueli I. R. Costa NoLa 23 5 0 28 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 24 4 0 20 Oct 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties Zeren Shui Daniel S. Karls Mingjian Wen Ilia Nikiforov E. Tadmor George Karypis 46 7 0 14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems Bart Cox L. Chen Jérémie Decouchant FedML 32 11 0 12 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 35 13 0 11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 24 3 0 11 Oct 2022