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Adaptivity and Modularity for Efficient Generalization Over Task Complexity

Adaptivity and Modularity for Efficient Generalization Over Task Complexity

Samira Abnar
Omid Saremi
Laurent Dinh
Shantel Wilson
Miguel Angel Bautista
Chen Huang
Vimal Thilak
Etai Littwin
Jiatao Gu
Josh Susskind
Samy Bengio
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Papers citing "Adaptivity and Modularity for Efficient Generalization Over Task Complexity"

4 / 4 papers shown
Title
Evaluating Long Range Dependency Handling in Code Generation LLMs
Evaluating Long Range Dependency Handling in Code Generation LLMs
Yannick Assogba
Donghao Ren
78
0
0
23 Jul 2024
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubić
Federico Soldá
Aurelio Sulser
Davide Scaramuzza
LRMBDL
116
9
0
26 May 2024
Limits of Transformer Language Models on Learning to Compose Algorithms
Limits of Transformer Language Models on Learning to Compose Algorithms
Jonathan Thomm
Aleksandar Terzić
Giacomo Camposampiero
Michael Hersche
Bernhard Schölkopf
Abbas Rahimi
139
8
0
08 Feb 2024
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
Bartosz Wójcik
Alessio Devoto
Karol Pustelnik
Pasquale Minervini
Simone Scardapane
86
6
0
15 Dec 2023

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