Meta-learning in natural and artificial intelligence

26 November 2020

Papers citing "Meta-learning in natural and artificial intelligence"

30 / 30 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 69 3 0 24 May 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer Rajat Saxena Bruce L. McNaughton CLL 51 2 0 12 May 2024
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing Thomas Ortner Horst Petschenig Athan Vasilopoulos Roland Renner Spela Brglez Thomas Limbacher Enrique Pinero Alejandro Linares Barranco A. Pantazi R. Legenstein 29 0 0 22 Apr 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 5 0 22 Apr 2024
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models Tian Meng Yang Tao Ruilin Lyu Wuliang Yin VLM 25 1 0 15 Mar 2024
Distilling Symbolic Priors for Concept Learning into Neural Networks Ioana Marinescu R. Thomas McCoy Thomas L. Griffiths 34 2 0 10 Feb 2024
Few-Shot Classification & Segmentation Using Large Language Models Agent Tian Meng Yang Tao Wuliang Yin VLM 28 1 0 19 Nov 2023
The Transient Nature of Emergent In-Context Learning in Transformers Aaditya K. Singh Stephanie C. Y. Chan Ted Moskovitz Erin Grant Andrew M. Saxe Felix Hill 62 31 0 14 Nov 2023
Dynamic Link Prediction for New Nodes in Temporal Graph Networks Xiaobo Zhu Yan Wu Qin-Hu Zhang Zhanheng Chen Ying He AI4CE 11 2 0 15 Oct 2023
Discovering Adaptable Symbolic Algorithms from Scratch Stephen Kelly Daniel S. Park Xingyou Song Mitchell McIntire Pranav Nashikkar ... W. Banzhaf Kalyanmoy Deb Vishnu Naresh Boddeti Jie Tan Esteban Real 14 3 0 31 Jul 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta A. Jagadish M. Botvinick Jane X. Wang Eric Schulz 28 24 0 12 Apr 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning Min Zhang Zifeng Zhuang Zhitao Wang Donglin Wang Wen-Bin Li 46 5 0 12 Mar 2023
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning Imen Jegham I. Rekik 24 3 0 14 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 25 180 0 14 Jul 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 28 19 0 04 Jul 2022
Modeling Human Behavior Part I -- Learning and Belief Approaches Andrew Fuchs A. Passarella M. Conti 22 7 0 13 May 2022
Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva Rahul Ramesh Pallavi V. Kulkarni M. Shuler Noah J. Cowan ... Andrei A. Rusu Timothy D. Verstynen Konrad Paul Kording Pratik Chaudhari Joshua T. Vogelstein AI4TS 34 2 0 19 Jan 2022
Rediscovering Affordance: A Reinforcement Learning Perspective Yi-Chi Liao Kashyap Todi Aditya Acharya Antti Keurulainen Andrew Howes Antti Oulasvirta 9 15 0 24 Dec 2021
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning Thomas Miconi 15 5 0 16 Dec 2021
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence Charlotte Frenkel D. Bol Giacomo Indiveri 23 33 0 02 Jun 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 18 47 0 28 May 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 25 19 0 04 Apr 2021
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 13 161 0 22 Feb 2021
Symbolic Behaviour in Artificial Intelligence Adam Santoro Andrew Kyle Lampinen Kory W. Mathewson Timothy Lillicrap David Raposo 19 34 0 05 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 23 28 0 04 Feb 2021
Brain-inspired global-local learning incorporated with neuromorphic computing Yujie Wu R. Zhao Jun Zhu F. Chen Mingkun Xu ... Hao Zheng Jing Pei Youhui Zhang Mingguo Zhao Luping Shi 19 86 0 05 Jun 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 113 481 0 26 Mar 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 284 11,681 0 09 Mar 2017