Rishabh Tiwari

Google Research India

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Berkeley AI Research Lab

rishabhtiwari at berkeley dot edu

I am a Ph.D. student in Berkeley AI Research (BAIR) at EECS, UC Berkeley, advised by Prof. Kurt Keutzer, where I focus on efficient deep learning. Previously, I was a Pre-Doctoral Researcher at Google Deepmind where I worked with Dr. Pradeep Shenoy on developing algorithms to improve group-robustness of networks. My recent work involves mitigating simplicity bias without using bias labels, network architecture optimization by developing novel network pruning algorithm.

I am also a founding member and senior researcher at Transmute AI Labs, a non profit research lab, where I guide undergrad students to pursue research.

For updated details, please see my Google Scholar / LinkedIn pages.

selected publications

  1. dedier.png
    Using Early Readouts to Mediate Featural Bias in Distillation
    Rishabh Tiwari, Durga Sivasubramanian, Anmol Mekala, and 2 more authors
    WACV, 2024
  2. sifer.png
    Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
    Rishabh Tiwari, and Pradeep Shenoy
    ICML, 2023
  3. gcr.png
    GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning
    Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, and 1 more author
    In CVPR, 2022
  4. chipnet.png
    Chipnet: Budget-aware pruning with heaviside continuous approximations
    Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, and 1 more author
    ICLR, 2021