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Selective Classification via One-Sided Prediction
v1v2v3v4 (latest)

Selective Classification via One-Sided Prediction

15 October 2020
Aditya Gangrade
Anil Kag
Venkatesh Saligrama
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Selective Classification via One-Sided Prediction"

25 / 25 papers shown
Title
Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
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
Interpretable and Fair Mechanisms for Abstaining Classifiers
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
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for
  Learning to Defer
Realizable HHH-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
Anqi Mao
M. Mohri
Yutao Zhong
67
10
0
18 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer
  Problems
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems
Mohammad-Amin Charusaie
Samira Samadi
52
1
0
17 Jul 2024
Selective Explanations
Selective Explanations
Lucas Monteiro Paes
Dennis L. Wei
Flavio du Pin Calmon
FAtt
68
0
0
29 May 2024
Rescuing referral failures during automated diagnosis of domain-shifted
  medical images
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava
Karm Patel
Pradeep Shenoy
D. Sridharan
OOD
63
0
0
28 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
78
0
0
15 Nov 2023
Regression with Cost-based Rejection
Regression with Cost-based Rejection
Xin Cheng
Yuzhou Cao
Haobo Wang
Hongxin Wei
Bo An
Lei Feng
OOD
79
7
0
08 Nov 2023
Principled Approaches for Learning to Defer with Multiple Experts
Principled Approaches for Learning to Defer with Multiple Experts
Anqi Mao
M. Mohri
Yutao Zhong
67
23
0
23 Oct 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and
  Algorithms
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
Anqi Mao
M. Mohri
Yutao Zhong
88
27
0
23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based
  Multi-Class Abstention
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao
M. Mohri
Yutao Zhong
50
24
0
23 Oct 2023
Learning to Abstain From Uninformative Data
Learning to Abstain From Uninformative Data
Yikai Zhang
Songzhu Zheng
M. Dalirrooyfard
Pengxiang Wu
Anderson Schneider
Anant Raj
Yuriy Nevmyvaka
Chao Chen
48
2
0
25 Sep 2023
When Does Confidence-Based Cascade Deferral Suffice?
When Does Confidence-Based Cascade Deferral Suffice?
Wittawat Jitkrittum
Neha Gupta
A. Menon
Harikrishna Narasimhan
A. S. Rawat
Surinder Kumar
53
23
0
06 Jul 2023
Conservative Prediction via Data-Driven Confidence Minimization
Conservative Prediction via Data-Driven Confidence Minimization
Caroline Choi
Fahim Tajwar
Yoonho Lee
Huaxiu Yao
Ananya Kumar
Chelsea Finn
71
5
0
08 Jun 2023
Counterfactually Comparing Abstaining Classifiers
Counterfactually Comparing Abstaining Classifiers
Yo Joong Choe
Aditya Gangrade
Aaditya Ramdas
62
1
0
17 May 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
Federica Granese
Marco Romanelli
S. Garg
Pablo Piantanida
AAML
55
0
0
04 Feb 2023
Plugin estimators for selective classification with out-of-distribution
  detection
Plugin estimators for selective classification with out-of-distribution detection
Harikrishna Narasimhan
A. Menon
Wittawat Jitkrittum
Surinder Kumar
OODD
75
4
0
29 Jan 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
Hussein Mozannar
Hunter Lang
Dennis L. Wei
P. Sattigeri
Subhro Das
David Sontag
100
51
0
15 Jan 2023
Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach
Nishant Jain
Karthikeyan Shanmugam
Pradeep Shenoy
OOD
73
2
0
12 Dec 2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari Taghanaki
Aliasghar Khani
Fereshte Khani
A. Gholami
Linh-Tam Tran
Ali Mahdavi-Amiri
Ghassan Hamarneh
AAML
100
48
0
30 Sep 2022
Sample Efficient Learning of Predictors that Complement Humans
Sample Efficient Learning of Predictors that Complement Humans
Mohammad-Amin Charusaie
Hussein Mozannar
David Sontag
Samira Samadi
73
34
0
19 Jul 2022
Selective Prediction via Training Dynamics
Selective Prediction via Training Dynamics
Stephan Rabanser
Anvith Thudi
Kimia Hamidieh
Adam Dziedzic
Nicolas Papernot
Akram Bin Sediq
Hamza Sokun
Nicolas Papernot
114
22
0
26 May 2022
Online Selective Classification with Limited Feedback
Online Selective Classification with Limited Feedback
Aditya Gangrade
Anil Kag
Ashok Cutkosky
Venkatesh Saligrama
76
5
0
27 Oct 2021
Machine Learning with a Reject Option: A survey
Machine Learning with a Reject Option: A survey
Kilian Hendrickx
Lorenzo Perini
Dries Van der Plas
Wannes Meert
Jesse Davis
MU
96
129
0
23 Jul 2021
Classification with Rejection Based on Cost-sensitive Classification
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
168
67
0
22 Oct 2020
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