Previously, I was a Pre-Doctoral Researcher at Google Research India, where I worked with Dr. Pradeep Shenoy on cognitively inspired deep neural networks. I am grateful for the opportunity to work on projects in collaboration with Prof. Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), Prof. Virginia De Sa (UC San Diego) and Dr. Mike Mozer (Google Research), during my time at Google Research.
I am also interested in application of ML to help people with learning and communicative disorders and for promoting and ensuring inclusivity.
I graduated with a Dual Degree, Bachelor and Master of Technology in Computer Science and Engineering from Indian Institute of Technology, Delhi, India in 2019. For more details, check my CV or send me an email.
Publications
How Far Can a 1-Pixel Camera Go?
, Andrei Atanov*, Jiawei Fu*, Isabella Yu, Andrew Spielberg, Amir Zamir
ECCV 2024
project page
pdf
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
Aditay Tripathi, , Anirban Chakraborty, Pradeep Shenoy
CVPR 2023
arXiv
pdf
FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
, Pranav Gupta, Pradeep Shenoy, Ravi Kiran Sarvadevabhatla
CVPR 2022
project page
pdf
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?
Gantavya Bhatt*, Hritik Bansal*, , Sumeet Agrawal
(* = Equal Contribution)
ACL'20 :
Student Research Workshop |
Annual Conference of the Association for Computational Linguistics
abstract
pdf
