Modeling rapid language learning by distilling Bayesian priors into artificial neural networks

24 May 2023

Papers citing "Modeling rapid language learning by distilling Bayesian priors into artificial neural networks"

8 / 8 papers shown

Title
On Language Models' Sensitivity to Suspicious Coincidences Sriram Padmanabhan Kanishka Misra Kyle Mahowald Eunsol Choi ReLM LRM 35 0 0 13 Apr 2025
Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice Jian-Qiao Zhu Haijiang Yan Thomas L. Griffiths 77 2 0 29 May 2024
Compositional diversity in visual concept learning Yanli Zhou Reuben Feinman Brenden Lake CoGe OCL 16 8 0 30 May 2023
Neural Networks and the Chomsky Hierarchy Grégoire Delétang Anian Ruoss Jordi Grau-Moya Tim Genewein L. Wenliang ... Chris Cundy Marcus Hutter Shane Legg Joel Veness Pedro A. Ortega UQCV 94 129 0 05 Jul 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations Denis Kleyko D. Rachkovskij Evgeny Osipov Abbas Rahimi 62 116 0 11 Nov 2021
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations Arabella J. Sinclair Jaap Jumelet Willem H. Zuidema Raquel Fernández 42 37 0 30 Sep 2021
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? Tal Linzen 210 188 0 03 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017