Who Should Predict? Exact Algorithms For Learning to Defer to Humans

15 January 2023

Papers citing "Who Should Predict? Exact Algorithms For Learning to Defer to Humans"

29 / 29 papers shown

Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest Jakob Schoeffer Maria De-Arteaga Jonathan Elmer 44 0 0 05 Apr 2025
A Comparison of Human and Machine Learning Errors in Face Recognition Marina Estévez-Almenzar Ricardo Baeza-Yates Carlos Castillo 38 0 0 17 Feb 2025
Partial-Label Learning with a Reject Option Tobias Fuchs Florian Kalinke Klemens Bohm 38 0 0 08 Jan 2025
Online Decision Deferral under Budget Constraints Mirabel Reid Tom Sühr Claire Vernade Samira Samadi OffRL 18 0 0 30 Sep 2024
Learning To Help: Training Models to Assist Legacy Devices Yu Wu Anand Sarwate 19 1 0 24 Sep 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 19 1 0 17 Jul 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 32 0 0 09 Jul 2024
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets Eleni Straitouri Suhas Thejaswi Manuel Gomez Rodriguez 28 1 0 10 Jun 2024
Rejection via Learning Density Ratios Alexander Soen Hisham Husain Philip Schulz Vu-Linh Nguyen 37 2 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 44 2 0 29 May 2024
Towards Human-AI Complementarity with Predictions Sets Giovanni De Toni Nastaran Okati Suhas Thejaswi Eleni Straitouri Manuel Gomez Rodriguez 33 5 0 27 May 2024
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence Tom Sühr Samira Samadi Chiara Farronato HAI 21 1 0 22 May 2024
A Universal Growth Rate for Learning with Smooth Surrogate Losses Anqi Mao M. Mohri Yutao Zhong 21 6 0 09 May 2024
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Javier Liébana Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 24 5 0 11 Mar 2024
Learning to Decode Collaboratively with Multiple Language Models Zejiang Shen Hunter Lang Bailin Wang Yoon Kim David Sontag 31 28 0 06 Mar 2024
Learning to Defer to a Population: A Meta-Learning Approach Dharmesh Tailor Aditya Patra Rajeev Verma Putra Manggala Eric Nalisnick 20 4 0 05 Mar 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 15 5 0 09 Feb 2024
Causal Perception Jose M. Alvarez Salvatore Ruggieri CML 11 0 0 24 Jan 2024
FiFAR: A Fraud Detection Dataset for Learning to Defer Jean V. Alves Diogo Leitao Sérgio Jesus Marco O. P. Sampaio Pedro Saleiro Mário A. T. Figueiredo P. Bizarro 12 0 0 20 Dec 2023
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 16 0 0 22 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 16 0 02 Nov 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding Hussein Mozannar Jimin J Lee Dennis L. Wei P. Sattigeri Subhro Das David Sontag 39 11 0 02 Nov 2023
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao M. Mohri Yutao Zhong 21 23 0 23 Oct 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 13 22 0 23 Oct 2023
Fair Classifiers that Abstain without Harm Tongxin Yin Jean-François Ton Ruocheng Guo Yuanshun Yao Mingyan Liu Yang Liu 17 4 0 09 Oct 2023
When No-Rejection Learning is Consistent for Regression with Rejection Xiaocheng Li Shang Liu Chunlin Sun Hanrui Wang 32 0 0 06 Jul 2023
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming Hussein Mozannar Gagan Bansal Adam Fourney Eric Horvitz 27 26 0 08 Jun 2023
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016