Universal linguistic inductive biases via meta-learning

29 June 2020

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

10 / 10 papers shown

Title
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 88 3 0 24 May 2024
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 35 25 0 12 Apr 2023
A Property Induction Framework for Neural Language Models Kanishka Misra Julia Taylor Rayz Allyson Ettinger 34 12 0 13 May 2022
Towards Zero-shot Language Modeling Edoardo Ponti Ivan Vulić Ryan Cotterell Roi Reichart Anna Korhonen 30 19 0 06 Aug 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 225 180 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 82 53 0 15 Jan 2021
Emergent Communication Pretraining for Few-Shot Machine Translation Yaoyiran Li Edoardo Ponti Ivan Vulić Anna Korhonen 25 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 22 3 0 05 Oct 2020
Understanding Human Intelligence through Human Limitations Thomas Griffiths 28 64 0 29 Sep 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017