Classification with Rejection Based on Cost-sensitive Classification

22 October 2020

Nontawat Charoenphakdee

Papers citing "Classification with Rejection Based on Cost-sensitive Classification"

43 / 43 papers shown

Title
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 65 0 0 01 May 2025
Estimating Control Barriers from Offline Data Hongzhan Yu Seth Farrell Ryo Yoshimitsu Zhizhen Qin Henrik I. Christensen Sicun Gao OffRL 58 3 0 21 Feb 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 47 0 0 08 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 247 0 0 18 Dec 2024
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning You Wu Xiangyang Yang Xucheng Wang Hengzhou Ye Dan Zeng Shuiwang Li Mamba 98 0 0 01 Dec 2024
Classification with Conceptual Safeguards Hailey Joren Charles Marx Berk Ustun 39 2 0 07 Nov 2024
Realizable $H$ -Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao M. Mohri Yutao Zhong 38 8 0 18 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 29 1 0 17 Jul 2024
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning Dimitris Bertsimas Matthew Peroni OffRL 30 0 0 30 May 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 58 2 0 29 May 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses Anqi Mao M. Mohri Yutao Zhong 40 7 0 09 May 2024
Efficient Online Set-valued Classification with Bandit Feedback Zhou Wang Xingye Qiao OffRL 50 0 0 07 May 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 28 9 0 05 Mar 2024
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 29 0 0 22 Nov 2023
Regression with Cost-based Rejection Xin Cheng Yuzhou Cao Haobo Wang Hongxin Wei Bo An Lei Feng OOD 50 7 0 08 Nov 2023
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer Yuzhou Cao Hussein Mozannar Lei Feng Hongxin Wei Bo An 31 17 0 02 Nov 2023
Online Decision Mediation Daniel Jarrett Alihan Huyuk M. Schaar 33 2 0 28 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 40 24 0 23 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 31 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-Wen Zhang Hao Zhao 3DPC 11 0 0 19 Sep 2023
Unified Risk Analysis for Weakly Supervised Learning Chao-Kai Chiang Masashi Sugiyama 35 4 0 15 Sep 2023
Using Reed-Muller Codes for Classification with Rejection and Recovery Daniel Fentham David Parker Mark Ryan 37 0 0 12 Sep 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization Akshay Mehra Yunbei Zhang B. Kailkhura Jihun Hamm 36 2 0 17 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 22 18 0 06 Jul 2023
Unsupervised Anomaly Detection with Rejection Lorenzo Perini Jesse Davis 40 7 0 22 May 2023
Stratified Adversarial Robustness with Rejection Jiefeng Chen Jayaram Raghuram Jihye Choi Xi Wu Yingyu Liang S. Jha 27 2 0 02 May 2023
Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge Vishnu Narayanan Moothedath J. Champati J. Gross 49 9 0 03 Apr 2023
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection Yujin Han Mingwenchan Xu Leying Guan 11 3 0 04 Feb 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 36 4 0 29 Jan 2023
Learning to Reject with a Fixed Predictor: Application to Decontextualization Christopher Mohri D. Andor Eunsol Choi Michael Collins BDL 36 22 0 22 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 30 41 0 15 Jan 2023
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles Rajeev Verma Daniel Barrejón Eric Nalisnick UQCV 23 28 0 30 Oct 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 34 125 0 26 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 41 32 0 19 Jul 2022
Towards Better Selective Classification Leo Feng Mohamed Osama Ahmed Hossein Hajimirsadeghi A. Abdi 24 22 0 17 Jun 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 21 43 0 08 Feb 2022
Surrogate Regret Bounds for Polyhedral Losses Rafael Frongillo Bo Waggoner 11 13 0 26 Oct 2021
Machine Learning with a Reject Option: A survey Kilian Hendrickx Lorenzo Perini Dries Van der Plas Wannes Meert Jesse Davis MU 33 121 0 23 Jul 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization Yivan Zhang Gang Niu Masashi Sugiyama NoLa 38 78 0 04 Feb 2021
A Symmetric Loss Perspective of Reliable Machine Learning Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama 27 0 0 05 Jan 2021
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective Nontawat Charoenphakdee J. Vongkulbhisal Nuttapong Chairatanakul Masashi Sugiyama UQCV 21 24 0 18 Nov 2020
Selective Classification via One-Sided Prediction Aditya Gangrade Anil Kag Venkatesh Saligrama UQCV 15 35 0 15 Oct 2020