SelectiveNet: A Deep Neural Network with an Integrated Reject Option

SelectiveNet: A Deep Neural Network with an Integrated Reject Option

26 January 2019

Yonatan Geifman

Papers citing "SelectiveNet: A Deep Neural Network with an Integrated Reject Option"

16 / 16 papers shown

Title
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 165 4 0 18 Apr 2025
Interpretable and Fair Mechanisms for Abstaining Classifiers Daphne Lenders Andrea Pugnana Roberto Pellungrini Toon Calders D. Pedreschi F. Giannotti FaML 111 1 0 24 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 116 1 0 05 Feb 2025
Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation Shabalin Carmel Shenkman Israel Shelef Ilan Ben-Arie Gal Alex Geftler Shahar Yuval MedIm 78 0 0 03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 152 2 0 03 Jan 2025
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 94 4 0 29 May 2024
Deep Active Learning with a Neural Architecture Search Yonatan Geifman Ran El-Yaniv AI4CE 43 44 0 19 Nov 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 51 137 0 21 May 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 63 143 0 02 Nov 2017
Selective Classification for Deep Neural Networks Yonatan Geifman Ran El-Yaniv CVBM 87 522 0 23 May 2017
The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient Roei Gelbhart Ran El-Yaniv 100 11 0 19 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 564 5,748 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 550 9,233 0 06 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 386 43,154 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014