Deep Learning is Robust to Massive Label Noise

30 May 2017

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

50 / 52 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 73 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 85 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 28 0 0 11 Oct 2024
Why is SAM Robust to Label Noise? Christina Baek Zico Kolter Aditi Raghunathan NoLa AAML 38 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 31 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
Semantic Scene Completion with Cleaner Self Fengyun Wang Dong Zhang Hanwang Zhang Jinhui Tang Qianru Sun 21 12 0 17 Mar 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 24 181 0 20 Feb 2023
Modulation spectral features for speech emotion recognition using deep neural networks Premjeet Singh Md. Sahidullah G. Saha 25 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 16 4 0 11 Nov 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 32 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 12 4 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 8 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 39 148 0 14 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 28 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 28 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 16 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 28 24 0 19 Apr 2022
Generalization Through The Lens Of Leave-One-Out Error Gregor Bachmann Thomas Hofmann Aurélien Lucchi 29 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 23 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 S. Hwang Eunho Yang 17 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 17 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 15 292 0 31 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 33 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 11 107 0 17 Jun 2021
Deep scattering network for speech emotion recognition Premjeet Singh G. Saha Md. Sahidullah 15 14 0 11 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization Saurabh Garg Sivaraman Balakrishnan J. Zico Kolter Zachary Chase Lipton 20 29 0 01 May 2021
DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning Dimitrios Tanoglidis A. Ćiprijanović A. Drlica-Wagner 13 15 0 24 Nov 2020
Benchmarking Inference Performance of Deep Learning Models on Analog Devices Omobayode Fagbohungbe Lijun Qian 8 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 27 290 0 28 Oct 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 22 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 14 18 0 17 Jun 2020
Effect of Annotation Errors on Drone Detection with YOLOv3 Aybora Koksal K. G. Ince Aydin Alatan 14 19 0 02 Apr 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
Robust Training with Ensemble Consensus Jisoo Lee Sae-Young Chung NoLa 4 28 0 22 Oct 2019
Automated Gleason Grading of Prostate Biopsies using Deep Learning W. Bulten H. Pinckaers H. V. van Boven R. Vink Thomas de Bel Bram van Ginneken J. A. van der Laak C. Hulsbergen–van de Kaa G. Litjens 9 444 0 18 Jul 2019
Supervised Classifiers for Audio Impairments with Noisy Labels Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 11 4 0 03 Jul 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 6 34 0 14 Jun 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 8 177 0 27 May 2019
Self-Supervised Similarity Learning for Digital Pathology J. Gildenblat Eldad Klaiman SSL 9 47 0 20 May 2019
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization Alejandro Pardo Humam Alwassel Fabian Caba Heilbron Ali K. Thabet Bernard Ghanem 29 52 0 30 Mar 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 16 348 0 27 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 23 408 0 19 Mar 2019
Distant Vehicle Detection Using Radar and Vision Simon Chadwick William P. Maddern Paul Newman 11 185 0 30 Jan 2019
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks Mahmoud Kalash Md. Amirul Islam Neil D. B. Bruce 21 13 0 03 Oct 2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild Samuel Albanie Arsha Nagrani Andrea Vedaldi Andrew Zisserman CVBM 17 270 0 16 Aug 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images Sheng Guo Weilin Huang Haozhi Zhang Chenfan Zhuang Dengke Dong Matthew R. Scott Dinglong Huang SSL 16 338 0 03 Aug 2018