2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Pretrained Encoders are All You Need
Mina Khan, P Srivatsa, Advait Rane +4
Data-efficiency and generalization are key challenges in deep learning and deep reinforcement learning as many models are trained on large-scale, domain-specific, and expensive-to-…
cs.CV2021★ 1 cited
Personalizing Pre-trained Models
Mina Khan, P Srivatsa, Advait Rane +3
Self-supervised or weakly supervised models trained on large-scale datasets have shown sample-efficient transfer to diverse datasets in few-shot settings. We consider how upstream…
q-bio.QM2020
Quantifying Synchronization in a Biologically Inspired Neural Network
Pranav Mahajan, Advait Rane, Swapna Sasi +1
We present a collated set of algorithms to obtain objective measures of synchronisation in brain time-series data. The algorithms are implemented in MATLAB; we refer to our collate…