Cognitive Model Priors for Predicting Human Decisions

22 May 2019

Papers citing "Cognitive Model Priors for Predicting Human Decisions"

21 / 21 papers shown

Title
A Measure Based Generalizable Approach to Understandability Vikas Kushwaha Sruti Srinivasa Ragavan Subhajit Roy 62 0 0 27 Mar 2025
Large Language Models Assume People are More Rational than We Really are Ryan Liu Jiayi Geng Joshua C. Peterson Ilia Sucholutsky Thomas Griffiths 162 20 0 24 Jun 2024
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice Jian-Qiao Zhu Haijiang Yan Thomas Griffiths 150 3 0 29 May 2024
Human Choice Prediction in Language-based Persuasion Games: Simulation-based Off-Policy Evaluation Eilam Shapira Reut Apel Moshe Tennenholtz Roi Reichart Roi Reichart 101 1 0 17 May 2023
Modeling Non-deterministic Human Behaviors in Discrete Food Choices Andrew Starnes Anton Dereventsov E. S. Blazek Folasade Phillips 10 0 0 23 Jan 2023
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal Tong Mu Stephan Zheng Alexander R. Trott 42 3 0 18 Jan 2022
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 85 43 0 22 Nov 2021
Cognitive science as a source of forward and inverse models of human decisions for robotics and control Mark K. Ho Thomas Griffiths 122 38 0 01 Sep 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 80 18 0 02 Mar 2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch Aojun Zhou Yukun Ma Junnan Zhu Jianbo Liu Zhijie Zhang Kun Yuan Wenxiu Sun Hongsheng Li 215 250 0 08 Feb 2021
Truly Sparse Neural Networks at Scale Selima Curci Decebal Constantin Mocanu Mykola Pechenizkiy 141 22 0 02 Feb 2021
Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders Zahra Atashgahi Ghada Sokar T. Lee Elena Mocanu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 94 42 0 01 Dec 2020
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 92 10 0 12 Oct 2020
Empirica: a virtual lab for high-throughput macro-level experiments Abdullah Almaatouq Joshua P. Becker J. Houghton Nicolas Paton Duncan J. Watts Mark E. Whiting 88 42 0 19 Jun 2020
A neural network walks into a lab: towards using deep nets as models for human behavior Wei-Ying Ma B. Peters HAI AI4CE 94 55 0 02 May 2020
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decisions Mayank Agrawal Joshua C. Peterson Thomas Griffiths 19 1 0 16 Oct 2019
Measuring the Completeness of Theories D. Fudenberg Jon M. Kleinberg Annie Liang S. Mullainathan VLM 65 48 0 15 Oct 2019
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics Saurabh Daptardar Paul Schrater Xaq Pitkow 76 39 0 13 Aug 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 106 29 0 29 May 2019
Predicting human decisions with behavioral theories and machine learning Ori Plonsky Reut Apel E. Ert Moshe Tennenholtz David D. Bourgin ... Thomas Griffiths Stuart J. Russell Evan C. Carter J. Cavanagh Ido Erev 79 44 0 15 Apr 2019
Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware Shiwei Liu Decebal Constantin Mocanu A. R. Ramapuram Matavalam Yulong Pei Mykola Pechenizkiy BDL 90 93 0 26 Jan 2019