Meta-Learned Models of Cognition

12 April 2023

Papers citing "Meta-Learned Models of Cognition"

43 / 43 papers shown

Title
In-context learning and Occam's razor Eric Elmoznino Tom Marty Tejas Kasetty Léo Gagnon Sarthak Mittal Mahan Fathi Dhanya Sridhar Guillaume Lajoie 86 1 0 17 Oct 2024
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 62 123 0 08 Dec 2023
The Acquisition of Physical Knowledge in Generative Neural Networks Luca M. Schulze Buschoff Eric Schulz Marcel Binz AI4CE 19 5 0 30 Oct 2023
Emergent Analogical Reasoning in Large Language Models Taylor Webb K. Holyoak Hongjing Lu ReLM ELM LRM AI4CE 97 308 0 19 Dec 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 109 186 0 14 Jul 2022
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 320 476 0 21 Jun 2022
Language and Culture Internalisation for Human-Like Autotelic AI Cédric Colas Tristan Karch Clément Moulin-Frier Pierre-Yves Oudeyer LM&Ro 62 25 0 02 Jun 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 186 814 0 12 May 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 116 261 0 22 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 433 6,222 0 05 Apr 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 742 9,330 0 28 Jan 2022
Technological Approach to Mind Everywhere (TAME): an experimentally-grounded framework for understanding diverse bodies and minds M. Levin AI4CE 47 110 0 24 Dec 2021
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 66 169 0 20 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 179 749 0 03 Nov 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 93 189 0 27 Jul 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 46 47 0 27 Jul 2021
Linear Transformers Are Secretly Fast Weight Programmers Imanol Schlag Kazuki Irie Jürgen Schmidhuber 96 246 0 22 Feb 2021
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 250 195 0 12 Jan 2021
Meta-learning in natural and artificial intelligence Jane X. Wang 66 114 0 26 Nov 2020
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik Grégoire Delétang Tom McGrath Tim Genewein Miljan Martic Shane Legg Pedro A. Ortega OOD FedML 74 41 0 21 Oct 2020
Gibbs Sampling with People Peter M. C. Harrison Raja Marjieh Federico Adolfi Pol van Rijn Manuel Anglada-Tort O. Tchernichovski P. Larrouy-Maestri Nori Jacoby 39 60 0 06 Aug 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 87 1,327 0 20 May 2020
Syntactic Structure from Deep Learning Tal Linzen Marco Baroni NAI 54 185 0 22 Apr 2020
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity Thomas Miconi Aditya Rawal Jeff Clune Kenneth O. Stanley 69 90 0 24 Feb 2020
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 195 1,691 0 05 Dec 2019
The frontier of simulation-based inference Kyle Cranmer Johann Brehmer Gilles Louppe AI4CE 162 849 0 04 Nov 2019
Continual Unsupervised Representation Learning Dushyant Rao Francesco Visin Andrei A. Rusu Yee Whye Teh Razvan Pascanu R. Hadsell BDL CLL SSL DRL 34 258 0 31 Oct 2019
Environmental drivers of systematicity and generalization in a situated agent Felix Hill Andrew Kyle Lampinen R. Schneider S. Clark M. Botvinick James L. McClelland Adam Santoro OOD 83 107 0 01 Oct 2019
Applying Probabilistic Programming to Affective Computing Desmond C. Ong Harold Soh Jamil Zaki Noah D. Goodman 102 20 0 15 Mar 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 151 1,053 0 18 Oct 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 137 487 0 26 Mar 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,232 0 08 Mar 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 80 509 0 26 Jan 2018
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning Zhenguo Li Fengwei Zhou Fei Chen Hang Li 92 1,118 0 31 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Neural Episodic Control Alexander Pritzel Benigno Uria Sriram Srinivasan A. Badia Oriol Vinyals Demis Hassabis Daan Wierstra Charles Blundell OffRL BDL 96 346 0 06 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 97 978 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 76 1,015 0 09 Nov 2016
Model-Free Episodic Control Charles Blundell Benigno Uria Alexander Pritzel Yazhe Li Avraham Ruderman Joel Z Leibo Jack W. Rae Daan Wierstra Demis Hassabis OffRL BDL 55 250 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 351 7,316 0 13 Jun 2016
Value Iteration Networks Aviv Tamar Yi Wu G. Thomas Sergey Levine Pieter Abbeel 73 653 0 09 Feb 2016
Surprisingly Rational: Probability theory plus noise explains biases in judgment F. Costello P. Watts 48 120 0 01 Nov 2012
Inducing Probabilistic Programs by Bayesian Program Merging Irvin Hwang Andreas Stuhlmuller Noah D. Goodman 59 33 0 25 Oct 2011