7 citations · 7 across the 1 of their papers we have counts for
4 papers
The State of Knowledge Distillation for Classification
Fabian Ruffy, Karanbir Chahal
We survey various knowledge distillation (KD) strategies for simple classification tasks and implement a set of techniques that claim state-of-the-art accuracy. Our experiments usi…
Hydra: A Peer to Peer Distributed Training & Data Collection Framework
Vaibhav Mathur, Karanbir Chahal
The world needs diverse and unbiased data to train deep learning models. Currently data comes from a variety of sources that are unmoderated to a large extent. The outcomes of trai…
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
Karanbir Chahal, Manraj Singh Grover, Kuntal Dey
Deep learning has led to tremendous advancements in the field of Artificial Intelligence. One caveat however is the substantial amount of compute needed to train these deep learnin…
A Survey of Modern Object Detection Literature using Deep Learning
Karanbir Singh Chahal, Kuntal Dey
Object detection is the identification of an object in the image along with its localisation and classification. It has wide spread applications and is a critical component for vis…