Deep Learning is Robust to Massive Label Noise

30 May 2017

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

22 / 72 papers shown

Title
Learning Invariant Representations of Social Media Users Nicholas Andrews M. Bishop 23 35 0 11 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 30 308 0 04 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 25 449 0 18 Jul 2019
Supervised Classifiers for Audio Impairments with Noisy Labels Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 24 4 0 03 Jul 2019
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking Ziqi Yang Hung Dang E. Chang AAML 19 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 22 177 0 27 May 2019
Self-Supervised Similarity Learning for Digital Pathology J. Gildenblat Eldad Klaiman SSL 19 47 0 20 May 2019
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization Alejandro Pardo Humam Alwassel Fabian Caba Heilbron Ali K. Thabet Guohao Li 32 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 33 351 0 27 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 30 409 0 19 Mar 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 32 48 0 18 Mar 2019
A semi-supervised deep residual network for mode detection in Wi-Fi signals Arash Kalatian Bilal Farooq HAI 27 10 0 17 Feb 2019
Distant Vehicle Detection Using Radar and Vision Simon Chadwick William P. Maddern Paul Newman 19 185 0 30 Jan 2019
Multitask Learning for Large-scale Semantic Change Detection Rodrigo Caye Daudt Bertrand Le Saux Alexandre Boulch Y. Gousseau 6 19 0 19 Oct 2018
Taming the Cross Entropy Loss Manuel Martínez Rainer Stiefelhagen NoLa 20 46 0 11 Oct 2018
Relative Saliency and Ranking: Models, Metrics, Data, and Benchmarks Mahmoud Kalash Md. Amirul Islam Neil D. B. Bruce 23 13 0 03 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 32 190 0 02 Oct 2018
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild Samuel Albanie Arsha Nagrani Andrea Vedaldi Andrew Zisserman CVBM 27 270 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 18 338 0 03 Aug 2018
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 24 135 0 04 Jul 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 28 680 0 28 Dec 2017
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior Charles H. Martin Michael W. Mahoney AI4CE 24 62 0 26 Oct 2017