Welcome to my home page!
I've just completed my Master's in Computer Science at UMass, Amherst. I'm currently an Applied Scientist at Amazon.
Email: firstname.lastname@example.org, email@example.com LinkedIn profile
Memory systems for neural net models
Learning with less or really noisy data
As a hobby, I'm interested in prime numbers: distribution of primes and factorization algorithms.
RESEARCH AND EXPERIENCE
OTHER (very serious) STUFF
The Spectral Bias of the Deep Image Prior
Prithvijit Chakrabarty , Subhransu Maji
Bayesian Deep Learning Workshop, NeurIPS 2019
Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller
In Summer, 2018, I had the opportunity to work with Bob Price in the Interaction and Analytics Lab at Xerox Parc, where
I investigated techniques few-shot learning and training object detectors with less labeled data.
As an intern at Intel, Bangalore, I worked with Anbumani Subramanian and Subramanian Chidambaram on real-time classification and segmention of hyperspectral images.
As a part of the Aspiring Researcher Program, I worked with Prof. James Davis at UC Santa Cruz and Rajan Vaish,
on analyzing crowdsourcing techniques for machine learning related data collection:
On Optimizing Human-Machine Task Assignments
A really random bit on graphs: I don't know what to do with this...
The big bad bottle wheel! Video
Thoughts on TempleOS Video
A serious article
Music: classical, rock 'n roll. I play the violin