2 citations · 3 across the 5 of their papers we have counts for
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cs.LG2023
Parameter-efficient Multi-Task and Multi-Domain Learning using Factorized Tensor Networks
Yash Garg, Nebiyou Yismaw, Rakib Hyder +2
Multi-task and multi-domain learning methods seek to learn multiple tasks/domains, jointly or one after another, using a single unified network. The primary challenge and opportuni…
cs.CV2023
Compressive Sensing with Tensorized Autoencoder
Rakib Hyder, M. Salman Asif
Deep networks can be trained to map images into a low-dimensional latent space. In many cases, different images in a collection are articulated versions of one another; for example…