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Geethan Karunaratne

2 accepted papers

2023

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition

NeurIPS 2023poster

With the advent of deep learning, progressively larger neural networks have been designed to solve complex tasks. We take advantage of these capacity-rich models to lower the cost of inference by exploiting computation in superposition. To reduce the computational burden per input, we propose Multip…

2022

Constrained Few-Shot Class-Incremental Learning

CVPR 2022poster

Continually learning new classes from fresh data without forgetting previous knowledge of old classes is a very challenging research problem. Moreover, it is imperative that such learning must respect certain memory and computational constraints such as (i) training samples are limited to only a few…

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