Should attention be all we need? The epistemic and ethical implications of unification in machine learning

9 May 2022

Papers citing "Should attention be all we need? The epistemic and ethical implications of unification in machine learning"

5 / 5 papers shown

Title
To Build Our Future, We Must Know Our Past: Contextualizing Paradigm Shifts in Natural Language Processing Sireesh Gururaja Amanda Bertsch Clara Na D. Widder Emma Strubell 16 3 0 11 Oct 2023
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes Connor Toups Rishi Bommasani Kathleen A. Creel S. Bana Dan Jurafsky Percy Liang 6 8 0 12 Jul 2023
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization? Rishi Bommasani Kathleen A. Creel Ananya Kumar Dan Jurafsky Percy Liang 11 76 0 25 Nov 2022
Making Intelligence: Ethical Values in IQ and ML Benchmarks Borhane Blili-Hamelin Leif Hancox-Li 17 15 0 01 Sep 2022
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State Mingqing Xiao Qingyan Meng Zongpeng Zhang Yisen Wang Zhouchen Lin 98 59 0 29 Sep 2021