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20202025
most citedLearning to Prune Deep Neural Networks via Reinforcement Learning

7 citations · 9 across the 4 of their papers we have counts for

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cs.LG2024

Memory Networks: Towards Fully Biologically Plausible Learning

Jacobo Ruiz, Manas Gupta

The field of artificial intelligence faces significant challenges in achieving both biological plausibility and computational efficiency, particularly in visual learning tasks. Cur…

cs.LG2022

PaRT: Parallel Learning Towards Robust and Transparent AI

Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan +4

This paper takes a parallel learning approach for robust and transparent AI. A deep neural network is trained in parallel on multiple tasks, where each task is trained only on a su…