
-
Emergent Symbols through Binding in External Memory
A key aspect of human intelligence is the ability to infer abstract rule...
read it
-
A Memory-Augmented Neural Network Model of Abstract Rule Learning
Human intelligence is characterized by a remarkable ability to infer abs...
read it
-
Meta-Learning of Compositional Task Distributions in Humans and Machines
Modern machine learning systems struggle with sample efficiency and are ...
read it
-
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks
The terms multi-task learning and multitasking are easily confused. Mult...
read it
-
Learning Representations that Support Extrapolation
Extrapolation – the ability to make inferences that go beyond the scope ...
read it
-
The Efficiency of Human Cognition Reflects Planned Information Processing
Planning is useful. It lets people take actions that have desirable long...
read it
-
Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large-Scale Text Corpora
Understanding how human semantic knowledge is organized and how people u...
read it
-
Multitasking Capacity: Hardness Results and Improved Constructions
We consider the problem of determining the maximal α∈ (0,1] such that ev...
read it
-
Matrix-normal models for fMRI analysis
Multivariate analysis of fMRI data has benefited substantially from adva...
read it