Search Results for author:
Found 2 papers, 0 papers with code
Using Multi-task and Transfer Learning to Solve Working Memory Tasks
We propose a new architecture called Memory-Augmented Encoder-Solver (MAES) that enables transfer learning to solve complex working memory tasks adapted from cognitive psychology.
Learning to Remember, Forget and Ignore using Attention Control in Memory
Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
