89 citations · 388 across the 81 of their papers we have counts for
13 papers · 1 filter
Deep Reinforcement Learning with Modulated Hebbian plus Q Network Architecture
Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick +6
This paper presents a new neural architecture that combines a modulated Hebbian network (MOHN) with DQN, which we call modulated Hebbian plus Q network architecture (MOHQA). The hy…
Neural Networks, Hypersurfaces, and Radon Transforms
Soheil Kolouri, Xuwang Yin, Gustavo K. Rohde
Connections between integration along hypersufaces, Radon transforms, and neural networks are exploited to highlight an integral geometric mathematical interpretation of neural net…
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
Alex Gabourie, Mohammad Rostami, Philip Pope +2
We address the problem of unsupervised domain adaptation (UDA) by learning a cross-domain agnostic embedding space, where the distance between the probability distributions of the…
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash +1
The unprecedented success of deep neural networks in many applications has made these networks a prime target for adversarial exploitation. In this paper, we introduce a benchmark…
Zero-Shot Image Classification Using Coupled Dictionary Embedding
Mohammad Rostami, Soheil Kolouri, Zak Murez +3
Zero-shot learning (ZSL) is a framework to classify images belonging to unseen classes based on solely semantic information about these unseen classes. In this paper, we propose a…
Generative Continual Concept Learning
Mohammad Rostami, Soheil Kolouri, James McClelland +1
After learning a concept, humans are also able to continually generalize their learned concepts to new domains by observing only a few labeled instances without any interference wi…