I’m a PhD student at the Computer Science Department in UCLA, working with Prof. Stefano Soatto in the UCLA Vision Lab. I am interested in working on problems in Deep Learning with its application to Computer Vision. Previously, I was an undergrad in Electrical Engineering at the Indian Institute of Technology, Bombay.

Email: adityagolatkar [AT] ucla [dot] edu

Publications & Workshops

  • A. Golatkar, A. Achille, Y. Wang, A. Roth, M. Kearns, S. Soatto
    Mixed Differential Privacy for Computer Vision
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022, (Oral Presentation)
    [arXiv]

  • S. Tsuei, A. Golatkar, S. Soatto
    Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
    [arXiv]

  • A. Golatkar, A. Achille, M. Polito, A. Ravichandran, S. Soatto
    Mixed-Privacy Forgetting in Deep Networks
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    [arXiv]

  • A. Achille, A. Golatkar, M. Polito, A. Ravichandran, S. Soatto
    LQF: Linear Quadratic Fine-tuning
    Conference on Computer Vision and Pattern Recognition (CVPR), 2021, (Oral Presentation)
    [arXiv]

  • A. Golatkar, A. Achille, S. Soatto
    Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations
    European Conference on Computer Vision (ECCV), 2020
    [arXiv]

  • A. Golatkar, A. Achille, S. Soatto
    Eternal Sunshine of the Spotless Net : Selective forgetting in Deep Networks
    Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    [arXiv]

  • A. Golatkar, A. Achille, S. Soatto
    Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
    Neural Information Processing Systems (NeurIPS), 2019
    [arXiv]

  • R. Das #, A. Golatkar #, S. Awate ( # denotes equal contribution)
    Sparse Kernel PCA for Outlier Detection
    IEEE International Conference on Machine Learning and Application (ICMLA), 2018, (Oral Presentation)
    [arXiv]

  • A. Golatkar, D. Anand, A. Sethi
    Classification of Breast Cancer Histology Using Deep Learning
    International Conference on Image Analysis and Recognition (ICIAR), 2018
    [arXiv]

  • P. Kothari, A. Sadhu, A. Golatkar, R. Das (all authors contributed equally)
    iFood Challenge, FGVC Workshop
    Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Finished $2^{nd}$ in the public leaderboard and $3^{rd}$ in the private leaderboard (Team name : Invincibles). Leaderboard Link. Invited to present our method at CVPR 2018 (slides can be found here)

Work Experience

  • Applied Scientist Intern
    AWS AI, Pasadena
    Summer 2021

  • Applied Scientist Intern
    AWS AI, Pasadena
    Summer 2020

  • Graduate Student Researcher
    UCLA Vision Lab
    Jan 2019 - Today

  • Applied Scientist Intern
    Amazon Go, Seattle
    Summer 2019

  • AI Research Intern
    Wadhwani Institute for AI, Mumbai
    Summber 2018

  • PRAIRIE Artificial Intelligence Summer School, Grenoble, France
    Organized by Inria and NAVER LABS Europe
    Selected for a poster presentation [Poster]
    Summer 2018

  • Quantitative Research Intern
    Nomura Holdings, Mumbai
    Summer 2017

  • Software Developement Intern
    Indus OS, Mumbai
    Summer 2016

Awards

  • NeurIPS 2019 Travel Award

  • INSPIRE Scholarship, Government of India

  • State Scholarship, Government of Maharashtra

Talks

  • Amazon Machine Learning Conference 2020