Rishabh Tiwari

Google Research India


Google AI Research Lab


I am a Pre-Doctoral Researcher at Google Research working with Dr. Pradeep Shenoy on developing robust and efficient deep learning. 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 / Google Research Website / 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