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Paper · arXiv 2306.07042

Transformers learn through gradual rank increase

Enric Boix-Adsera, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua Susskind

10 upvotesJune 12, 2023arXiv 预印本
AI 摘要

The study examines incremental learning in transformers, proving that the difference in rank between trained and initial weights increases progressively.

incremental learningtransformersdiagonal weight matricessmall initialization

Abstract

We identify incremental learning dynamics in transformers, where the difference between trained and initial weights progressively increases in rank. We rigorously prove this occurs under the simplifying assumptions of diagonal weight matrices and small initialization. Our experiments support the theory and also show that phenomenon can occur in practice without the simplifying assumptions.

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