research
∙
06/14/2023
The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks
Traditional large-scale neuroscience models and machine learning utilize...
share
research
∙
07/22/2022
Discrete Key-Value Bottleneck
Deep neural networks perform well on prediction and classification tasks...
research
∙
10/12/2021
Dynamic Inference with Neural Interpreters
Modern neural network architectures can leverage large amounts of data t...
research
∙
03/01/2021
Coordination Among Neural Modules Through a Shared Global Workspace
Deep learning has seen a movement away from representing examples with a...
research
∙
10/14/2020
Function Contrastive Learning of Transferable Representations
Few-shot-learning seeks to find models that are capable of fast-adaptati...
research
∙
07/13/2020
S2RMs: Spatially Structured Recurrent Modules
Capturing the structure of a data-generating process by means of appropr...
research
∙
07/02/2019
Learning the Arrow of Time
We humans seem to have an innate understanding of the asymmetric progres...
research
∙
04/25/2019
The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning
Image partitioning, or segmentation without semantics, is the task of de...
research
∙
01/30/2019
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
We propose to meta-learn causal structures based on how fast a learner a...
research
∙
06/22/2018