research
∙
04/03/2021
Explanatory models in neuroscience: Part 1 – taking mechanistic abstraction seriously
Despite the recent success of neural network models in mimicking animal ...
share
research
∙
04/03/2021
Explanatory models in neuroscience: Part 2 – constraint-based intelligibility
Computational modeling plays an increasingly important role in neuroscie...
research
∙
10/05/2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Recent methods for learning unsupervised visual representations, dubbed ...
research
∙
07/15/2020
Active World Model Learning with Progress Curiosity
World models are self-supervised predictive models of how the world evol...
research
∙
05/27/2020
On Mutual Information in Contrastive Learning for Visual Representations
In recent years, several unsupervised, "contrastive" learning algorithms...
research
∙
04/22/2020
Flexible and Efficient Long-Range Planning Through Curious Exploration
Identifying algorithms that flexibly and efficiently discover temporally...
research
∙
05/28/2019
Unsupervised Learning from Video with Deep Neural Embeddings
Because of the rich dynamical structure of videos and their ubiquity in ...
research
∙
05/28/2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
A significant issue in training deep neural networks to solve supervised...
research
∙
03/29/2019