4 papers
Group-Structured Adversarial Training
Farzan Farnia, Amirali Aghazadeh, James Zou +1
Robust training methods against perturbations to the input data have received great attention in the machine learning literature. A standard approach in this direction is adversari…
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune +3
Feature selection is an important challenge in machine learning. It plays a crucial role in the explainability of machine-driven decisions that are rapidly permeating throughout mo…
Insense: Incoherent Sensor Selection for Sparse Signals
Amirali Aghazadeh, Mohammad Golbabaee, Andrew S. Lan +1
Sensor selection refers to the problem of intelligently selecting a small subset of a collection of available sensors to reduce the sensing cost while preserving signal acquisition…
Near-Isometric Binary Hashing for Large-scale Datasets
Amirali Aghazadeh, Andrew Lan, Anshumali Shrivastava +1
We develop a scalable algorithm to learn binary hash codes for indexing large-scale datasets. Near-isometric binary hashing (NIBH) is a data-dependent hashing scheme that quantizes…