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Weekly Reading Group at DSG

This repository hosts a list of research papers and topics that we discuss on every Saturday in the group. We believe that reading research papers not only strengthens our concepts, but also helps in understanding the intuition behind the development of a particular idea, and the complete thought process of the author.

A collection of concise write-ups on each paper, with something noteworthy is also maintained here.

2020

Date Topic Presenters Notes
27th June, 2020 Tutorial on Variational Autoencoders Prankush, Vipul Summary
20th June, 2020 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, LayerNorm, GroupNorm, InstanceNorm Aaryan, Ishan, Anirudh Summary Code
15th June, 2020 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Rohan, Yash, Ankit Summary
12th June, 2020 PyTorch: An Imperative Style, High-Performance Deep Learning Library & Automatic differentiation in PyTorch Anirudh, Saswat Part of PyTorch Code Review Discussions in DSG
6th June, 2020 Distilling the knowledge in a neural network Shashwat, Akshit Summary, Code Teacher network, Code Student network
30th May, 2020 Learning to learn by gradient descent by gradient descent Shruti, Vivek, Shashank Summary, Code
23rd May, 2020 Mixed Precision Training Aaryan, Ishan, Anirudh Summary, Code
16th May, 2020 Selfie: Self-supervised Pretraining for Image Embedding Ankit, Prankush Summary
9th May, 2020 Explaining and Harnessing Adversarial Examples Abhinav, Sahil, Vipul Summary

2017

Date Topic Presenters Notes
29th April, 2017 Fractional Max-Pooling Ajay Unagar Summary
10th Feb, 2017 Imagenet Classification with Deep Convolutional Neural Networks Karan Desai Summary

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Discussions on papers, frameworks, blogs and ideas every Saturday.

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