Learning from Noisy Labels with Deep Neural Networks: A Survey

16 July 2020

Papers citing "Learning from Noisy Labels with Deep Neural Networks: A Survey"

32 / 82 papers shown

Title
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 11 2 0 03 May 2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization Bo He Xitong Yang Le Kang Zhiyu Cheng Xingfa Zhou Abhinav Shrivastava 18 76 0 29 Mar 2022
Font Generation with Missing Impression Labels Seiya Matsuda Akisato Kimura Seiichi Uchida VLM 11 3 0 19 Mar 2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking Fanghua Ye Yue Feng Emine Yilmaz 16 21 0 26 Feb 2022
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information Mark Collier Rodolphe Jenatton Efi Kokiopoulou Jesse Berent 15 13 0 18 Feb 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 15 35 0 16 Feb 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation Jiacheng Ye Jiahui Gao Qintong Li Hang Xu Jiangtao Feng Zhiyong Wu Tao Yu Lingpeng Kong SyDa 21 210 0 16 Feb 2022
A Survey on Programmatic Weak Supervision Jieyu Zhang Cheng-Yu Hsieh Yue Yu Chao Zhang Alexander Ratner 19 91 0 11 Feb 2022
Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit Ion Stagkos Efstathiadis Guilherme Paulino-Passos Francesca Toni 16 8 0 26 Jan 2022
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases Shrimai Prabhumoye Rafal Kocielnik M. Shoeybi Anima Anandkumar Bryan Catanzaro 19 19 0 15 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 16 71 0 05 Dec 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 11 61 0 27 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 6 16 0 26 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy Lars Schmarje Johannes Brunger M. Santarossa Simon-Martin Schroder R. Kiko Reinhard Koch 36 17 0 13 Oct 2021
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi Aydin Sarraf M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 26 30 0 15 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 17 5 0 10 Sep 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 22 16 0 09 Sep 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A. Gómez-Ríos Julián Luengo Francisco Herrera OOD NoLa 14 0 0 08 Sep 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 18 50 0 31 Jul 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 15 10 0 30 Jun 2021
Learning from Multiple Annotators by Incorporating Instance Features Jingzheng Li Hailong Sun Jiyi Li Zhijun Chen Renshuai Tao Yufei Ge NoLa 8 5 0 29 Jun 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 19 20 0 07 May 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 15 43 0 28 Mar 2021
Evaluating Multi-label Classifiers with Noisy Labels Wenting Zhao Carla P. Gomes NoLa 66 14 0 16 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 17 144 0 11 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 112 119 0 04 Feb 2021
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning Dimitrios Tanoglidis A. Ćiprijanović A. Drlica-Wagner 6 16 0 24 Nov 2020
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder Yunhao Yang Andrew Whinston 8 5 0 07 Nov 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 170 0 24 May 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,568 0 09 Mar 2017