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20192026
most citedExploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

3.7k citations · 3.7k across the 8 of their papers we have counts for

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Showing 2023Show all

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cs.CV2023★ 2 cited

One-Step Diffusion Distillation via Deep Equilibrium Models

Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

Diffusion models excel at producing high-quality samples but naively require hundreds of iterations, prompting multiple attempts to distill the generation process into a faster net…

cs.LG2023

Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization

Michael Matena, Colin Raffel

We introduce NPEFF (Non-Negative Per-Example Fisher Factorization), an interpretability method that aims to uncover strategies used by a model to generate its predictions. NPEFF de…