7 citations · 18 across the 8 of their papers we have counts for
3 papers · 1 filter
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop
Manas Gupta, Sarthak Ketanbhai Modi, Hang Zhang +2
Bio-inspired learning has been gaining popularity recently given that Backpropagation (BP) is not considered biologically plausible. Many algorithms have been proposed in the liter…
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Manas Gupta, Efe Camci, Vishandi Rudy Keneta +5
Pruning neural networks has become popular in the last decade when it was shown that a large number of weights can be safely removed from modern neural networks without compromisin…
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…