76 citations · 163 across the 16 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024
Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
Isha Garg, Christian Koguchi, Eshan Verma +1
In this work, we study how well the learned weights of a neural network utilize the space available to them. This notion is related to capacity, but additionally incorporates the i…
cs.ET2024
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators
Timur Ibrayev, Isha Garg, Indranil Chakraborty +1
Deep learning has proved successful in many applications but suffers from high computational demands and requires custom accelerators for deployment. Crossbar-based analog in-memor…