Systematic human learning and generalization from a brief tutorial with explanatory feedback

10 July 2021

Papers citing "Systematic human learning and generalization from a brief tutorial with explanatory feedback"

16 / 16 papers shown

Title
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad Hosein Hasanbeig Felipe Vieira Frujeri Hiteshi Sharma Robert Osazuwa Ness Nebojsa Jojic Hamid Palangi Jonathan Larson ELM LLMAG LRM 54 69 0 25 Sep 2023
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 303 494 0 24 Sep 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 90 186 0 14 Jul 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 312 6,768 0 13 Apr 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 146 1,915 0 29 Mar 2022
Tell me why! Explanations support learning relational and causal structure Andrew Kyle Lampinen Nicholas A. Roy Ishita Dasgupta Stephanie C. Y. Chan Allison C. Tam ... Chen Yan Adam Santoro Neil C. Rabinowitz Jane X. Wang Felix Hill 72 46 0 07 Dec 2021
An Explanation of In-context Learning as Implicit Bayesian Inference Sang Michael Xie Aditi Raghunathan Percy Liang Tengyu Ma ReLM BDL VPVLM LRM 155 728 0 03 Nov 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts? Albert Webson Ellie Pavlick LRM 84 361 0 02 Sep 2021
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 320 1,950 0 11 Apr 2020
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 139 420 0 02 Apr 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 393 634 0 04 Dec 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 527 3,101 0 04 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 101 3,922 0 06 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 781 11,793 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 85 974 0 17 Nov 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 211 14,831 1 21 Dec 2013