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LeaPformer: Enabling Linear Transformers for Autoregressive and
  Simultaneous Tasks via Learned Proportions

LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions

18 May 2024
Victor Agostinelli
Sanghyun Hong
Lizhong Chen
    KELM
ArXivPDFHTML

Papers citing "LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions"

3 / 3 papers shown
Title
ML For Hardware Design Interpretability: Challenges and Opportunities
ML For Hardware Design Interpretability: Challenges and Opportunities
Raymond Baartmans
Andrew Ensinger
Victor Agostinelli
Lizhong Chen
29
0
0
11 Apr 2025
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
253
695
0
27 Aug 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
282
2,015
0
28 Jul 2020
1