Set-valued classification -- overview via a unified framework

24 February 2021

Papers citing "Set-valued classification -- overview via a unified framework"

22 / 22 papers shown

Title
Assumption-free stability for ranking problems Ruiting Liang Jake A. Soloff Rina Foygel Barber Rebecca Willett 22 0 0 02 Jun 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 529 2 0 17 Feb 2025
Conjunction Subspaces Test for Conformal and Selective Classification Zengyou He Zerun Li Junjie Dong Xinying Liu Mudi Jiang Lianyu Hu 46 0 0 16 Oct 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets Eleni Straitouri Suhas Thejaswi Manuel Gomez Rodriguez 108 1 0 10 Jun 2024
Towards Human-AI Complementarity with Predictions Sets Giovanni De Toni Nastaran Okati Suhas Thejaswi Eleni Straitouri Manuel Gomez Rodriguez 134 7 0 27 May 2024
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 317 3 0 22 May 2024
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification Alberto Carlevaro Teodoro Alamo Fabrizio Dabbene Maurizio Mongelli 102 2 0 15 Mar 2024
Conformal Prediction Sets Improve Human Decision Making Jesse C. Cresswell Yi Sui Bhargava Kumar Noël Vouitsis 180 19 0 24 Jan 2024
AI-based Mapping of the Conservation Status of Orchid Assemblages at Global Scale Joaquim Estopinan Maximilien Servajean P. Bonnet Alexis Joly Franccois Munoz 27 3 0 09 Jan 2024
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 88 27 0 23 Oct 2023
Designing Decision Support Systems Using Counterfactual Prediction Sets Eleni Straitouri Manuel Gomez Rodriguez OffRL 212 12 0 06 Jun 2023
Earning Extra Performance from Restrictive Feedbacks Jing Li Yuangang Pan Yueming Lyu Yinghua Yao Yulei Sui Ivor W. Tsang 52 3 0 28 Apr 2023
A two-head loss function for deep Average-K classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 52 0 0 31 Mar 2023
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 100 32 0 18 Jul 2022
Differentiable Top-k Classification Learning Felix Petersen Hilde Kuehne Christian Borgelt Oliver Deussen 119 32 0 15 Jun 2022
Set-valued prediction in hierarchical classification with constrained representation complexity Thomas Mortier Eyke Hüllermeier Krzysztof Dembczyñski Willem Waegeman 119 3 0 13 Mar 2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification Camille Garcin Maximilien Servajean Alexis Joly Joseph Salmon 62 10 0 04 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 94 18 0 02 Feb 2022
Improving Expert Predictions with Conformal Prediction Eleni Straitouri Lequn Wang Nastaran Okati Manuel Gomez Rodriguez 87 33 0 28 Jan 2022
Taming Overconfident Prediction on Unlabeled Data from Hindsight Jing Li Yuangang Pan Ivor W. Tsang 46 2 0 15 Dec 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 93 114 0 17 Jun 2021
Posthoc Verification and the Fallibility of the Ground Truth Yifan Ding Nicholas Botzer Tim Weninger 46 5 0 02 Jun 2021