Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
The Blessing of Dimensionality
Published:
‘nuff said about the curse of dimensionality
Graph Search
Published:
Time for an algorithm shopping spree.
The Algorithm
Published:
Good engineering is craftsmanship; and great engineers derive a healthy dose of dopamine from ‘building’ things.
portfolio
PyTorch: I’m Fast, JAX: You Call That Fast?
A recipe to train Object Detection Transformers (really) fast.
A GPU Poor’s Multi-node Training Cluster
Bag-of-tricks for multi-node training using plain Ethernet.
publications
XLDA: Linear Discriminant Analysis for Incremental Extreme Classification
Published in International Conference on Machine Learning (ICML), PAC-Bayes Workshop, 2023
An O(1) on-device continual learning classifier.
Recommended citation: Shah, K., Veerendranath, V., Hebbar, A. and Bhat, R., 2023. XLDA: Linear Discriminant Analysis for Scaling Continual Learning to Extreme Classification at the Edge. arXiv preprint arXiv:2307.11317.
Download Paper
talks
Interpretability in Deep Learning
Published:
This talk focuses on the importance and methods of making machine learning models, particularly deep learning models, interpretable and understandable. Computation and search has eliminated the need for domain-specific feature engineering. However, this has a caveat - deep models often behave like black boxes, and are prone to issues of trust, transparency, and safety, especially in mission-critical applications.
Federated Learning for Healthcare
Published:
The aim of this tutorial is to facilitate education on how to perform Federated Learning on both simulated and real world studies from software-based privacy-preserving techniques (e.g. DP), to hardware-based trusted execution environments (TEEs).