Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning

6 July 2022

Papers citing "Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning"

8 / 8 papers shown

Title
Less is More for Synthetic Speech Detection in the Wild Ashi Garg Zexin Cai Henry Li Xinyuan Leibny Paola García-Perera Kevin Duh Sanjeev Khudanpur Matthew Wiesner Nicholas Andrews 74 0 0 17 Feb 2025
Neural Redshift: Random Networks are not Random Functions Damien Teney A. Nicolicioiu Valentin Hartmann Ehsan Abbasnejad 89 18 0 04 Mar 2024
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia Giovanni Monea Maxime Peyrard Martin Josifoski Vishrav Chaudhary Jason Eisner Emre Kiciman Hamid Palangi Barun Patra Robert West KELM 47 12 0 04 Dec 2023
Learning Diverse Features in Vision Transformers for Improved Generalization A. Nicolicioiu Andrei Liviu Nicolicioiu B. Alexe Damien Teney 29 3 0 30 Aug 2023
Diversify and Disambiguate: Learning From Underspecified Data Yoonho Lee Huaxiu Yao Chelsea Finn 203 64 0 07 Feb 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey A. Hengel 23 86 0 12 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 189 259 0 18 Apr 2021
Contrastive Learning Inverts the Data Generating Process Roland S. Zimmermann Yash Sharma Steffen Schneider Matthias Bethge Wieland Brendel SSL 236 207 0 17 Feb 2021