Meta-Learning through Hebbian Plasticity in Random Networks

6 July 2020

Papers citing "Meta-Learning through Hebbian Plasticity in Random Networks"

48 / 48 papers shown

Title
Rethinking Memory in AI: Taxonomy, Operations, Topics, and Future Directions Yiming Du Wenyu Huang Danna Zheng Zhaowei Wang Sébastien Montella Mirella Lapata Kam-Fai Wong Jeff Z. Pan KELM MU 86 2 0 01 May 2025
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective Szymon Mazurek Jakub Caputa Jan K. Argasiñski Maciej Wielgosz 23 0 0 06 Apr 2025
Bio-Inspired Plastic Neural Networks for Zero-Shot Out-of-Distribution Generalization in Complex Animal-Inspired Robots Binggwong Leung Worasuchad Haomachai J. Pedersen S. Risi Poramate Manoonpong OODD 76 0 0 16 Mar 2025
Evolving Self-Assembling Neural Networks: From Spontaneous Activity to Experience-Dependent Learning Erwan Plantec Joachin W. Pedersen Milton L. Montero Eleni Nisioti Sebastian Risi CLL 38 0 0 14 Jun 2024
Benchmarking General-Purpose In-Context Learning Fan Wang Chuan Lin Yang Cao Yu Kang 38 1 0 27 May 2024
Breaching the Bottleneck: Evolutionary Transition from Reward-Driven Learning to Reward-Agnostic Domain-Adapted Learning in Neuromodulated Neural Nets S. Arnold Reiji Suzuki Takaya Arita Kimitoshi Yamazaki 23 0 0 19 Apr 2024
Structurally Flexible Neural Networks: Evolving the Building Blocks for General Agents J. Pedersen Erwan Plantec Eleni Nisioti Milton L. Montero Sebastian Risi 55 1 0 06 Apr 2024
Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent E. Giannakakis Sina Khajehabdollahi Anna Levina 37 0 0 20 Mar 2024
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks C. Weilenmann A. Ziogas T. Zellweger K. Portner Marko Mladenović Manasa Kaniselvan Timoleon Moraitis Mathieu Luisier A. Emboras 19 20 0 26 Feb 2024
Neuron-centric Hebbian Learning Andrea Ferigo Elia Cunegatti Giovanni Iacca 31 0 0 16 Feb 2024
Discovering Adaptable Symbolic Algorithms from Scratch Stephen Kelly Daniel S. Park Xingyou Song Mitchell McIntire Pranav Nashikkar ... W. Banzhaf Kalyanmoy Deb Vishnu Boddeti Jie Tan Esteban Real 23 3 0 31 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 28 8 0 30 Jul 2023
Learning to Act through Evolution of Neural Diversity in Random Neural Networks J. Pedersen S. Risi 36 2 0 25 May 2023
Dive into the Power of Neuronal Heterogeneity Guobin Shen Dongcheng Zhao Yiting Dong Yang Li Yi Zeng 31 2 0 19 May 2023
Brain-inspired learning in artificial neural networks: a review Samuel Schmidgall Jascha Achterberg Thomas Miconi Louis Kirsch Rojin Ziaei S. P. Hajiseyedrazi Jason Eshraghian 31 52 0 18 May 2023
Self-building Neural Networks Andrea Ferigo Giovanni Iacca 12 2 0 03 Apr 2023
When to be critical? Performance and evolvability in different regimes of neural Ising agents Sina Khajehabdollahi Jan Prosi E. Giannakakis Georg Martius Anna Levina 14 7 0 28 Mar 2023
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity Beomseok Kang Biswadeep Chakraborty Saibal Mukhopadhyay 11 2 0 22 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Y. Duan Zhongfan Jia Qian Li Yi Zhong Kaisheng Ma AAML 30 2 0 07 Feb 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 37 122 0 19 Jan 2023
Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks Kazuki Irie Jürgen Schmidhuber KELM 24 1 0 17 Nov 2022
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 27 30 0 20 Oct 2022
Biological connectomes as a representation for the architecture of artificial neural networks Samuel Schmidgall Catherine D. Schuman Maryam Parsa 23 2 0 28 Sep 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems Alexander Ororbia A. Mali 40 7 0 19 Sep 2022
Forecasting Evolution of Clusters in Game Agents with Hebbian Learning Beomseok Kang Saibal Mukhopadhyay 52 2 0 19 Aug 2022
Towards the Neuroevolution of Low-level Artificial General Intelligence S. Pontes-Filho K. Olsen Anis Yazidi Michael A. Riegler P. Halvorsen Stefano Nichele AI4CE 33 3 0 27 Jul 2022
Goal-Conditioned Generators of Deep Policies Francesco Faccio Vincent Herrmann Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 40 8 0 04 Jul 2022
Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming Kazuya Horibe Kathryn Walker Rasmus Berg Palm Shyam Sudhakaran S. Risi 11 9 0 14 Jun 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 34 9 0 02 Jun 2022
HyperNCA: Growing Developmental Networks with Neural Cellular Automata Elias Najarro Shyam Sudhakaran Claire Glanois S. Risi 34 14 0 25 Apr 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 21 10 0 17 Feb 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 14 26 0 11 Feb 2022
Meta-Reinforcement Learning with Self-Modifying Networks Mathieu Chalvidal Thomas Serre Rufin VanRullen KELM 24 5 0 04 Feb 2022
Variational Neural Cellular Automata Rasmus Berg Palm Miguel González Duque Shyam Sudhakaran S. Risi BDL 47 22 0 28 Jan 2022
Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks Samuel Schmidgall Joe Hays 22 4 0 07 Nov 2021
Introducing Symmetries to Black Box Meta Reinforcement Learning Louis Kirsch Sebastian Flennerhag Hado van Hasselt A. Friesen Junhyuk Oh Yutian Chen 22 30 0 22 Sep 2021
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning Fan Wang Hao Tian Haoyi Xiong Hua Wu Jie Fu Yang Cao Yu Kang Haifeng Wang AI4CE 15 3 0 08 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang David R Ha 24 75 0 07 Sep 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
Hebbian learning with gradients: Hebbian convolutional neural networks with modern deep learning frameworks Thomas Miconi 13 15 0 04 Jul 2021
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights Ganlin Song Ruitu Xu John D. Lafferty ODL 54 21 0 10 Jun 2021
Meta-Learning Bidirectional Update Rules Mark Sandler Max Vladymyrov A. Zhmoginov Nolan Miller Andrew Jackson T. Madams Blaise Agüera y Arcas 27 15 0 10 Apr 2021
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning Bleema Rosenfeld Bipin Rajendran Osvaldo Simeone OffRL 33 9 0 21 Feb 2021
ES-ENAS: Efficient Evolutionary Optimization for Large Hybrid Search Spaces Xingyou Song K. Choromanski Jack Parker-Holder Yunhao Tang Qiuyi Zhang ... Deepali Jain Wenbo Gao Aldo Pacchiano Tamás Sarlós Yuxiang Yang 19 0 0 19 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 53 56 0 29 Dec 2020
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning Rasmus Berg Palm Elias Najarro S. Risi 17 3 0 13 Nov 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016