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09/20/2023
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute
The Languini Kitchen serves as both a research collective and codebase d...
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05/18/2023
Brain-inspired learning in artificial neural networks: a review
Artificial neural networks (ANNs) have emerged as an essential tool in m...
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12/29/2022
Eliminating Meta Optimization Through Self-Referential Meta Learning
Meta Learning automates the search for learning algorithms. At the same ...
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12/29/2022
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks
There are two important things in science: (A) Finding answers to given ...
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12/08/2022
General-Purpose In-Context Learning by Meta-Learning Transformers
Modern machine learning requires system designers to specify aspects of ...
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11/18/2022
Exploring through Random Curiosity with General Value Functions
Efficient exploration in reinforcement learning is a challenging problem...
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11/04/2022
The Benefits of Model-Based Generalization in Reinforcement Learning
Model-Based Reinforcement Learning (RL) is widely believed to have the p...
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07/04/2022
Goal-Conditioned Generators of Deep Policies
Goal-conditioned Reinforcement Learning (RL) aims at learning optimal po...
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12/29/2020
Meta Learning Backpropagation And Improving It
Many concepts have been proposed for meta learning with neural networks ...
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10/09/2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Biological evolution has distilled the experiences of many learners into...
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02/12/2019
Gaussian Mean Field Regularizes by Limiting Learned Information
Variational inference with a factorized Gaussian posterior estimate is a...
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11/13/2018
Modular Networks: Learning to Decompose Neural Computation
Scaling model capacity has been vital in the success of deep learning. F...
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06/01/2017
