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20192023
most citedChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations

31 citations · 76 across the 12 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021★ 3 cited

Livestock Monitoring with Transformer

Bhavesh Tangirala, Ishan Bhandari, Daniel Laszlo +3

Tracking the behaviour of livestock enables early detection and thus prevention of contagious diseases in modern animal farms. Apart from economic gains, this would reduce the amou…

cs.LG2021★ 2 cited

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs

Devanshu Arya, Deepak K. Gupta, Stevan Rudinac +1

Graphs are the most ubiquitous data structures for representing relational datasets and performing inferences in them. They model, however, only pairwise relations between nodes an…

cs.CE2021★ 1 cited

Improving Solar Cell Metallization Designs using Convolutional Neural Networks

Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick +2

Optimizing the design of solar cell metallizations is one of the ways to improve the performance of solar cells. Recently, it has been shown that Topology Optimization (TO) can be…

cs.CV2021★ 31 cited

ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations

Rishabh Tiwari, Udbhav Bamba, Arnav Chavan +1

Structured pruning methods are among the effective strategies for extracting small resource-efficient convolutional neural networks from their dense counterparts with minimal loss…

cs.CV2021

Rescaling CNN through Learnable Repetition of Network Parameters

Arnav Chavan, Udbhav Bamba, Rishabh Tiwari +1

Deeper and wider CNNs are known to provide improved performance for deep learning tasks. However, most such networks have poor performance gain per parameter increase. In this pape…