Table of Contents About Me Updates
About Me
Hi! I’m Ameya, and since you’re reading this: a-may-yeah (as in a book, may I?, yeah sure!). “Ameya” is the sanskrit word “अमेय” approximately translating to “Impossible”. Just too full of energy as a baby, right? My parents went from “You’re impossible” to “You’re Ameya”. This github username was created when in high school, as a battle against the impossible dream of being “Dr. Ameya” (pun intended) and motivation for it.
I love to think about technology and mechanism design– How to better bake nicer incentives into decentralized technologies for a fairer world. I aspire to an the ideal of “theoretically grounded approaches should go hand-in-hand with challenging practical problems” in my research: Principled approaches can accelerate research compared to extensive hit-and-try approaches popular today. Conversely, it’s important to make real-world assumptions to model computationally hard problems and side-step worst-case complexity. As Marx once famously said “Those are my principles, and if you don’t like them.. well, I have others”. I work on effective methods for addressing continual learning at Torr Vision Group, University of Oxford.
On the personal side, I love fake frameworks: afterall ontologies make things seem real. The jungian personality type of the academic me is currently ENTJ, dominated by Te and Ni; or my MTG Color Wheel results have been dominated by Blue and Red with a Black tinge. I do read a lot of aspiring-rationalist, effective-altruism, pop-economics blogrolls. I love EDM music and everything around it: I am a huge fan of techno along with house and trance music. I am semi-professional DJ, play a launchpad (Novation MK2) and am learning to shuffle. I have weird political leaning that I think more people should have: I am an anarchist in interpersonal interactions, communist at home, socialist democrat at local/regional level and classical liberal at the national/global level. The issues I deeply care about are animal welfare, digital privacy, slow science and the free and open source culture. Welcome to my personal page folks!
Highlights
Education | Experience | Research | Code |
ECCV20 EMNLP19 ECCV18 EMNLP19 COLING16 |
Deep Expander Networks Hybrid Binary Networks Hybrid Binary Networks Subword-LSTM |
Updates
[Needs to be Updated]
2021
- Shyam, the first master’s student I worked with is pursuing a PhD! Congratulations Shyam!
- Recent work with Shyam on simple, scalable ways of incorporating heirarchies to incorporate a sense of ‘degree of badness’ of mistakes in deep networks No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks got accepted in ICLR 2021!
2020
- Recent work with Aurobindo on effectively merging pruning and binarization paradigms STQ-Nets: Unifying Network Binarization and Structured Pruning got accepted in BMVC 2020!
- Served as reviewer for ECCV 2020. Got selected for the oustanding reviewer award!
- My recent work on problems with continual learning GDumb: A Simple Approach that Questions Our Progress in Continual Learning got accepted at ECCV 2020 (Oral)
- Served as reviewer for CVPR 2020. Got selected for the outstanding reviewer award!
- I’m pursuing a PhD focused on Machine Learning at University of Oxford, one small step towards achieving my big goal!
2019
- My recent work on problems with active learning Sampling Bias in Deep Active Classification: An Empirical Study got accepted at EMNLP 2019
- Served as a reviewer for ICCV 2019 and AAAI 2019
- Completed my bachelors and masters in computer science at IIIT-Hyderabad. My thesis focused on developing principled approaches for sparse connectivity (pruning) and methods to exploit fast-binary convolutions for building efficient but accurate deep networks
- Starting reviewing independently. Served as a reviewer for CVPR 2019. Got outstanding reviewer award for CVPR 2019! Here is the reviewer guideline I developed for reference
2018
- Got a yearlong residency at Verisk HQ, to work for the ML group of a NASDAQ 100 financial risk assessment firm
- I attended ECCV 2018. Thank you Google for providing full travel-grant!
- My research on Pruning Deep Expander Networks: Efficient Networks from Graph Theory got accepted at ECCV 2018 (Oral)
- I completed a research internship at IBM Research to experience industrial research. Got Best Intern Award, Summer ‘18 for outstanding research at IBM
- I attended WACV 2018 at Lake Tahoe, USA. Thank you CVIT for providing full-funding!
- My research on Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory got accepted at WACV 2018
- My research on Distribution-Aware Binarization of Neural Networks for Sketch Recognition got accepted at WACV 2018
- Got selected for Dean’s Merit List for Academic Excellence Award- 2018
- Got Undergraduate Research Award for Outstanding Publications in Undergraduate years -2018
2017
- Got selected for Dean’s Merit List for Academic Excellence Award- 2017
- Got Undergraduate Research Award for Outstanding Publications in Undergraduate years -2017