research
∙
05/25/2023
Concept-Centric Transformers: Concept Transformers with Object-Centric Concept Learning for Interpretability
Attention mechanisms have greatly improved the performance of deep-learn...
share
research
∙
04/08/2022
Learning to modulate random weights can induce task-specific contexts for economical meta and continual learning
Neural networks are vulnerable to catastrophic forgetting when data dist...
research
∙
11/20/2021
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection
The single-hidden-layer Randomly Weighted Feature Network (RWFN) introdu...
research
∙
09/11/2021
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
Insects, such as fruit flies and honey bees, can solve simple associativ...
research
∙
08/17/2021