A Study of Compositional Generalization in Neural Models

16 June 2020

Papers citing "A Study of Compositional Generalization in Neural Models"

6 / 6 papers shown

Title
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Matthew D Riemer G. Subbaraj Glen Berseth Irina Rish OffRL 77 1 0 18 Dec 2024
What makes Models Compositional? A Theoretical View: With Supplement Parikshit Ram Tim Klinger Alexander G. Gray CoGe 34 6 0 02 May 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 29 189 0 30 Oct 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 29 1 0 22 Nov 2022
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities Elias Eulig Piyapat Saranrittichai Chaithanya Kumar Mummadi K. Rambach William H. Beluch Xiahan Shi Volker Fischer 137 11 0 12 Aug 2021
The EOS Decision and Length Extrapolation Benjamin Newman John Hewitt Percy Liang Christopher D. Manning 10 45 0 14 Oct 2020