The worst of both worlds: A comparative analysis of errors in learning
from data in psychology and machine learning

The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning

12 March 2022

Jessica Hullman

Priyanka Nanayakkara

Arvind Narayanan

Papers citing "The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning"

10 / 10 papers shown

Title
Can AI Mitigate Human Perceptual Biases? A Pilot Study Ross Geuy Nate Rising Tiancheng Shi Meng-Ying Ling Jian Chen 18 0 0 10 Oct 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 25 8 0 10 Aug 2023
Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices Gideon Vos Kelly Trinh Zoltán Sarnyai M. R. Azghadi OOD 11 20 0 30 Sep 2022
Leakage and the Reproducibility Crisis in ML-based Science Sayash Kapoor Arvind Narayanan 17 177 0 14 Jul 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 17 2 0 10 Jun 2022
Competency Problems: On Finding and Removing Artifacts in Language Data Matt Gardner William Merrill Jesse Dodge Matthew E. Peters Alexis Ross Sameer Singh Noah A. Smith 161 107 0 17 Apr 2021
With Little Power Comes Great Responsibility Dallas Card Peter Henderson Urvashi Khandelwal Robin Jia Kyle Mahowald Dan Jurafsky 225 115 0 13 Oct 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 75 758 0 13 Nov 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 175 1,184 0 30 Nov 2014