Towards Better Selective Classification

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Towards Better Selective Classification

17 June 2022

Mohamed Osama Ahmed

Hossein Hajimirsadeghi

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Papers citing "Towards Better Selective Classification"

16 / 16 papers shown

Title
Bounded-Abstention Pairwise Learning to Rank Antonio Ferrara Andrea Pugnana Francesco Bonchi Salvatore Ruggieri 25 0 0 29 May 2025
A novel framework for MCDM based on Z numbers and soft likelihood function Yuanpeng He 78 0 0 26 Dec 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
Confidence-aware Contrastive Learning for Selective Classification Yu-Chang Wu Shen-Huan Lyu Haopu Shang Xiangyu Wang Chao Qian 75 3 0 07 Jun 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 144 4 0 29 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 135 2 0 29 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
Model Agnostic Explainable Selective Regression via Uncertainty Estimation Andrea Pugnana Carlos Mougan Dan Saattrup Nielsen 80 0 0 15 Nov 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 61 0 0 02 Oct 2023
Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection Shaocong Xu Pengfei Li Xinyi Liu Qianpu Sun Yang Li ... Bo Jiang Rui Wang Kehua Sheng Bo Zhang Hao Zhao 3DPC 49 0 0 19 Sep 2023
LOVM: Language-Only Vision Model Selection O. Zohar Shih-Cheng Huang Kuan-Chieh Wang Serena Yeung MLLM 79 14 0 15 Jun 2023
Training Private Models That Know What They Don't Know Stephan Rabanser Anvith Thudi Abhradeep Thakurta Krishnamurthy Dvijotham Nicolas Papernot 87 7 0 28 May 2023
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks L. F. P. Cattelan Danilo Silva UQCV 130 6 0 24 May 2023
Loss-Controlling Calibration for Predictive Models Di Wang Junzhi Shi Pingping Wang Shuo Zhuang Hongyue Li 71 0 0 11 Jan 2023
Machine Learning with a Reject Option: A survey Kilian Hendrickx Lorenzo Perini Dries Van der Plas Wannes Meert Jesse Davis MU 100 129 0 23 Jul 2021

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