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Selective Classification Via Neural Network Training Dynamics

26 May 2022

Papers citing "Selective Classification Via Neural Network Training Dynamics"

30 / 30 papers shown

Title
On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Anvith Thudi Hengrui Jia Ilia Shumailov Nicolas Papernot MU 63 159 0 22 Oct 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 58 7 0 21 Jun 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 83 161 0 17 Jun 2021
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles Zahra Ghodsi S. Hari I. Frosio Timothy Tsai Alejandro J. Troccoli S. Keckler S. Garg Anima Anandkumar 68 43 0 12 Mar 2021
Selective Classification Can Magnify Disparities Across Groups Erik Jones Shiori Sagawa Pang Wei Koh Ananya Kumar Percy Liang 88 47 0 27 Oct 2020
Selective Classification via One-Sided Prediction Aditya Gangrade Anil Kag Venkatesh Saligrama UQCV 70 36 0 15 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 271 1,371 0 08 Oct 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 251 111 0 26 Aug 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 207 470 0 09 Aug 2020
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses Raef Bassily Vitaly Feldman Cristóbal Guzmán Kunal Talwar MLT 54 198 0 12 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 61 204 0 02 Jun 2020
Self-Adaptive Training: beyond Empirical Risk Minimization Lang Huang Chaoning Zhang Hongyang R. Zhang NoLa 84 205 0 24 Feb 2020
Characterizing Structural Regularities of Labeled Data in Overparameterized Models Ziheng Jiang Chiyuan Zhang Kunal Talwar Michael C. Mozer TDI 59 104 0 08 Feb 2020
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 87 185 0 13 Nov 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 86 113 0 29 Jun 2019
Selective prediction-set models with coverage guarantees Jean Feng A. Sondhi Jessica Perry N. Simon 44 8 0 13 Jun 2019
SelectiveNet: A Deep Neural Network with an Integrated Reject Option Yonatan Geifman Ran El-Yaniv CVBM OOD 126 311 0 26 Jan 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 128 741 0 12 Dec 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,062 0 10 Jul 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 57 140 0 21 May 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,862 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 95 529 0 23 May 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang Erik Learned-Miller Andrew McCallum 86 354 0 24 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings Fereshte Khani Martin Rinard Percy Liang AAML 43 26 0 20 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Train faster, generalize better: Stability of stochastic gradient descent Moritz Hardt Benjamin Recht Y. Singer 116 1,243 0 03 Sep 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 852 9,346 0 06 Jun 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014