Semi-supervised Active Regression

no code implementations • 12 Jun 2021 • Fnu Devvrit, Nived Rajaraman, Pranjal Awasthi

In this setting, the learner has access to a dataset $X \in \mathbb{R}^{(n_1+n_2) \times d}$ which is composed of $n_1$ unlabelled examples that an algorithm can actively query, and $n_2$ examples labelled a-priori.

Active Learning regression

Rand-NSG: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node

no code implementations • NeurIPS 2019 • Suhas Jayaram Subramanya, Fnu Devvrit, Harsha Vardhan Simhadri, Ravishankar Krishnawamy, Rohan Kadekodi

We present a new graph-based indexing and search system called DiskANN that can index, store, and search a billion point database on a single workstation with just 64GB RAM and an inexpensive solid-state drive (SSD).