Deep Learning is Robust to Massive Label Noise

30 May 2017

Papers citing "Deep Learning is Robust to Massive Label Noise"

50 / 72 papers shown

Title
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study Jungkyu Park Jan Witowski Yanqi Xu Hari M. Trivedi J. Gichoya ... Malte Westerhoff Linda Moy Laura Heacock Alana A. Lewin Krzysztof J. Geras 28 0 0 08 Apr 2025
Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Nayoung Lee Ziyang Cai Avi Schwarzschild Kangwook Lee Dimitris Papailiopoulos ReLM VLM LRM AI4CE 83 4 0 03 Feb 2025
Cross-Entropy Is All You Need To Invert the Data Generating Process Patrik Reizinger Alice Bizeul Attila Juhos Julia E. Vogt Randall Balestriero Wieland Brendel David Klindt SSL OOD BDL DRL 102 3 0 29 Oct 2024
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery Pratinav Seth Michelle Lin Brefo Dwamena Yaw Jade Boutot Mary Kang David Rolnick 33 0 0 11 Oct 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 43 9 0 06 May 2024
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern Recognition Tu Nguyen Nedim Srndic Alexander Neth AAML 37 3 0 18 Jan 2024
ViPE: Visualise Pretty-much Everything Hassan Shahmohammadi Adhiraj Ghosh Hendrik P. A. Lensch DiffM 23 1 0 16 Oct 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium Alexander A. Navarini Marc Pouly 31 5 0 13 Sep 2023
Semantic Scene Completion with Cleaner Self Fengyun Wang Dong Zhang Hanwang Zhang Jinhui Tang Qianru Sun 28 12 0 17 Mar 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 14 6 0 23 Feb 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 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
Unsupervised classification to improve the quality of a bird song recording dataset Félix Michaud J. Sueur Maxime LE Cesne S. Haupert 27 28 0 15 Feb 2023
TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT Bing Zhou Lei Zou Yingjie Hu Y. Qiang Daniel Goldberg 23 3 0 31 Jan 2023
Modulation spectral features for speech emotion recognition using deep neural networks Premjeet Singh Md. Sahidullah G. Saha 27 44 0 14 Jan 2023
Towards automating Numerical Consistency Checks in Financial Reports L. Hillebrand Tobias Deuβer T. Khameneh Bernd Kliem Rüdiger Loitz Christian Bauckhage R. Sifa 20 4 0 11 Nov 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 49 8 0 25 Oct 2022
Measuring Overfitting in Convolutional Neural Networks using Adversarial Perturbations and Label Noise Svetlana Pavlitskaya Joël Oswald J. Marius Zöllner NoLa AAML 24 5 0 27 Sep 2022
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning Wai Tong Chung Kihoon Jung Jacqueline H. Chen M. Ihme AI4CE 16 3 0 25 Jul 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan N. Gomez Adrien Morisot Sebastian Farquhar Y. Gal 49 148 0 14 Jun 2022
Certifying Data-Bias Robustness in Linear Regression Anna P. Meyer Aws Albarghouthi Loris Dántoni 27 3 0 07 Jun 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space Diane Oyen Michal Kucer N. Hengartner H. Singh NoLa OOD 30 13 0 02 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery Dimitrios Mallis Enrique Sanchez Matt Bell Georgios Tzimiropoulos SSL 3DPC 37 6 0 31 May 2022
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance? Christoph Koller Goran Kauermann Xiao Xiang Zhu UQCV 21 6 0 30 May 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 38 21 0 25 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 41 24 0 19 Apr 2022
Generalization Through The Lens Of Leave-One-Out Error Gregor Bachmann Thomas Hofmann Aurelien Lucchi 49 7 0 07 Mar 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 27 35 0 16 Feb 2022
Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers Johannes Schneider Robin Richner Micha Riser AI4Ed 14 35 0 02 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 25 23 0 16 Dec 2021
Bootstrap Your Object Detector via Mixed Training Mengde Xu Zheng-Wei Zhang Fangyun Wei Yutong Lin Yue Cao Stephen Lin Han Hu Xiang Bai ObjD 21 6 0 04 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances Shibo Zhang Yaxuan Li Shen Zhang Farzad Shahabi S. Xia Yuanbei Deng N. Alshurafa BDL 23 295 0 31 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 38 28 0 18 Oct 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 23 108 0 17 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 25 44 0 17 Jun 2021
Deep scattering network for speech emotion recognition Premjeet Singh G. Saha Md. Sahidullah 23 14 0 11 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg Sivaraman Balakrishnan J. Zico Kolter Zachary Chase Lipton 28 30 0 01 May 2021
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection Jianfeng Feng Fa-Ting Hong Weishi Zheng 30 240 0 04 Apr 2021
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques M. Rahaman Chen Li Yudong Yao Frank Kulwa Xiangchen Wu Xirong Li Qian Wang 36 188 0 24 Feb 2021
Efficient video annotation with visual interpolation and frame selection guidance Alina Kuznetsova Aakrati Talati Yiwen Luo Keith Simmons V. Ferrari 29 20 0 23 Dec 2020
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning Dimitrios Tanoglidis A. Ćiprijanović A. Drlica-Wagner 18 15 0 24 Nov 2020
Benchmarking Inference Performance of Deep Learning Models on Analog Devices Omobayode Fagbohungbe Lijun Qian 19 7 0 24 Nov 2020
DNSMOS: A Non-Intrusive Perceptual Objective Speech Quality metric to evaluate Noise Suppressors Chandan K. A. Reddy Vishak Gopal Ross Cutler 35 291 0 28 Oct 2020
3D for Free: Crossmodal Transfer Learning using HD Maps Benjamin Wilson Z. Kira James Hays 3DPC 19 10 0 24 Aug 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 24 38 0 11 Jul 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 16 18 0 17 Jun 2020
Effect of Annotation Errors on Drone Detection with YOLOv3 Aybora Koksal K. G. Ince Aydin Alatan 19 20 0 02 Apr 2020
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization S. Chatterjee ODL OOD 11 48 0 25 Feb 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 13 535 0 05 Dec 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 19 28 0 22 Oct 2019