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Network Pruning

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks

Publications

Recently there has been a lot of work on pruning filters from deep convolutional neural networks (CNNs) with the intention of reducing computations. The key idea is to rank the filters based on a certain criterion (say, …

Tags: Deep learning, CNN, Network pruning

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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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Indian Institute of Technology Madras,
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