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SelectiveNet: A Deep Neural Network with an Integrated Reject Option

26 January 2019

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

50 / 180 papers shown

Title
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models William Overman Mohsen Bayati 22 0 0 01 Jun 2025
Bounded-Abstention Pairwise Learning to Rank Antonio Ferrara Andrea Pugnana Francesco Bonchi Salvatore Ruggieri 22 0 0 29 May 2025
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings Angéline Pouget Mohammad Yaghini Stephan Rabanser Nicolas Papernot 29 0 0 28 May 2025
Know When to Abstain: Optimal Selective Classification with Likelihood Ratios Alvin Heng Harold Soh 107 0 0 21 May 2025
Variational Visual Question Answering Tobias Jan Wieczorek Nathalie Daun Mohammad Emtiyaz Khan Marcus Rohrbach OOD 92 0 0 14 May 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 198 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 143 1 0 24 Mar 2025
You Only Look Once at Anytime (AnytimeYOLO): Analysis and Optimization of Early-Exits for Object-Detection Daniel Kuhse Harun Teper Sebastian Buschjäger Chien-Yao Wang Jian-Jia Chen AAML 118 1 0 21 Mar 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance Shenzhi Yang Junbo Zhao Shouqing Yang Yixuan Li Dingyu Yang Xiaofang Zhang Haobo Wang OODD 83 0 0 22 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 174 2 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 117 0 0 03 Jan 2025
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 252 2 0 03 Jan 2025
Safety Monitoring of Machine Learning Perception Functions: a Survey Raul Sena Ferreira Joris Guérin Kevin Delmas Jérémie Guiochet H. Waeselynck 121 0 0 09 Dec 2024
Improving Predictor Reliability with Selective Recalibration Thomas P. Zollo Zhun Deng Jake C. Snell T. Pitassi Richard Zemel OOD 72 0 0 07 Oct 2024
Look Around and Find Out: OOD Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 111 0 0 06 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 91 2 0 26 Sep 2024
Learning To Help: Training Models to Assist Legacy Devices Yu Wu Anand Sarwate 63 1 0 24 Sep 2024
Abstaining Machine Learning -- Philosophical Considerations Daniela Schuster 70 0 0 01 Sep 2024
Privacy-preserving Universal Adversarial Defense for Black-box Models Qiao Li Yanwei Yue Jing Chen Zijun Zhang Kun He Ruiying Du Xinxin Wang Qingchuang Zhao Yang Liu AAML 112 6 0 20 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 62 4 0 09 Aug 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 43 0 0 19 Jul 2024
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 67 10 0 18 Jul 2024
Overcoming Common Flaws in the Evaluation of Selective Classification Systems Jeremias Traub Till J. Bungert Carsten T. Lüth Michael Baumgartner Klaus H. Maier-Hein Lena Maier-Hein Paul F. Jaeger 74 4 0 01 Jul 2024
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion Hao Zeng Jiaqi Wang Avirup Das Junying He Kunpeng Han Haoyuan Hu Mingfei Sun 75 2 0 18 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification Yu-Chang Wu Shen-Huan Lyu Haopu Shang Xiangyu Wang Chao Qian 73 3 0 07 Jun 2024
EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection Yunni Qu James Wellnitz Alexander Tropsha Junier Oliva 89 0 0 03 Jun 2024
Selective Explanations Lucas Monteiro Paes Dennis L. Wei Flavio du Pin Calmon FAtt 68 0 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 142 4 0 29 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 75 9 0 28 May 2024
From Conformal Predictions to Confidence Regions Charles Guille-Escuret Eugene Ndiaye 109 2 0 28 May 2024
Hierarchical Selective Classification Shani Goren Ido Galil Ran El-Yaniv BDL 93 2 0 19 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 101 2 0 08 May 2024
Taming False Positives in Out-of-Distribution Detection with Human Feedback Harit Vishwakarma Heguang Lin Ramya Korlakai Vinayak OODD 70 7 0 25 Apr 2024
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations Christian Tomani Kamalika Chaudhuri Ivan Evtimov Daniel Cremers Mark Ibrahim 107 15 0 16 Apr 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering Zaid Khan Yun Fu AAML 83 10 0 16 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward Xuan Xie Jiayang Song Zhehua Zhou Yuheng Huang Da Song Lei Ma OffRL 128 6 0 12 Apr 2024
Selective Temporal Knowledge Graph Reasoning Zhongni Hou Xiaolong Jin Zixuan Li Long Bai Jiafeng Guo Xueqi Cheng 87 0 0 02 Apr 2024
Regression with Multi-Expert Deferral Anqi Mao M. Mohri Yutao Zhong 79 14 0 28 Mar 2024
Hyperbolic Metric Learning for Visual Outlier Detection Alvaro Gonzalez-Jimenez Simone Lionetti Dena Bazazian Philippe Gottfrois Fabian Gröger Marc Pouly Alexander A. Navarini 81 2 0 22 Mar 2024
Out-of-Distribution Detection Should Use Conformal Prediction (and Vice-versa?) Paul Novello Joseba Dalmau Léo Andéol OODD 87 2 0 18 Mar 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 83 0 0 06 Mar 2024
Conformalized Selective Regression Anna Sokol Nuno Moniz Nitesh Chawla 190 1 0 26 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism Hippolyte Gisserot-Boukhlef Manuel Faysse Emmanuel Malherbe C´eline Hudelot Pierre Colombo 175 4 0 20 Feb 2024
Soft Dice Confidence: A Near-Optimal Confidence Estimator for Selective Prediction in Semantic Segmentation Bruno Laboissiere Camargos Borges Bruno Machado Pacheco Danilo Silva 41 0 0 16 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 76 6 0 09 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 87 29 0 05 Feb 2024
Uncertainty Quantification on Clinical Trial Outcome Prediction Tianyi Chen Yingzhou Lu Nan Hao Capucine Van Rechem Jintai Chen Tianfan Fu 117 23 0 07 Jan 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal Yiyou Sun Yixuan Li OODD 80 12 0 22 Dec 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 81 2 0 23 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 78 0 0 15 Nov 2023