Universal linguistic inductive biases via meta-learning

Universal linguistic inductive biases via meta-learning

29 June 2020

R. Thomas McCoy

Thomas Griffiths

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Papers citing "Universal linguistic inductive biases via meta-learning"

12 / 12 papers shown

Title
Distinct Computations Emerge From Compositional Curricula in In-Context Learning Jin Hwa Lee Andrew Kyle Lampinen Aaditya K. Singh Andrew Saxe 23 0 0 16 Jun 2025
Meta-Learning Neural Mechanisms rather than Bayesian Priors Michael Goodale Salvador Mascarenhas Yair Lakretz 150 1 0 20 Mar 2025
Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases Michael Y. Hu Jackson Petty Chuan Shi William Merrill Tal Linzen AI4CE 135 2 0 26 Feb 2025
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 189 4 0 24 May 2024
A Property Induction Framework for Neural Language Models Kanishka Misra Julia Taylor Rayz Allyson Ettinger 74 12 0 13 May 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 80 10 0 04 Apr 2022
Changing the World by Changing the Data Anna Rogers 76 73 0 28 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 301 185 0 18 Apr 2021
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning Yuhuai Wu M. Rabe Wenda Li Jimmy Ba Roger C. Grosse Christian Szegedy AIMat LRM 142 57 0 15 Jan 2021
Emergent Communication Pretraining for Few-Shot Machine Translation Yaoyiran Li Edoardo Ponti Ivan Vulić Anna Korhonen 106 19 0 02 Nov 2020
Meta-Learning of Structured Task Distributions in Humans and Machines Sreejan Kumar Ishita Dasgupta Jonathan Cohen Nathaniel D. Daw Thomas Griffiths OffRL 68 2 0 05 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas Griffiths 94 68 0 29 Sep 2020