Rishabh Tiwari

Google AI Research Lab

rishabhtiwari@google.com

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

Using Early Readouts to Mediate Featural Bias in Distillation

Rishabh Tiwari, Durga Sivasubramanian, Anmol Mekala, and 2 more authors

WACV, 2024

Bib PDF

@article{tiwari2023adversarial,
  title = {Using Early Readouts to Mediate Featural Bias in Distillation},
  author = {Tiwari, Rishabh and Sivasubramanian, Durga and Mekala, Anmol and Ramakrishnan, Ganesh and Shenoy, Pradeep},
  journal = {WACV},
  year = {2024},
}

Overcoming Simplicity Bias in Deep Networks using a Feature Sieve

Rishabh Tiwari, and Pradeep Shenoy

ICML, 2023

Bib PDF

@article{tiwari2023adversariam,
  title = {Overcoming Simplicity Bias in Deep Networks using a Feature Sieve},
  author = {Tiwari, Rishabh and Shenoy, Pradeep},
  journal = {ICML},
  year = {2023},
}

GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning

Rishabh Tiwari, Krishnateja Killamsetty, Rishabh Iyer, and 1 more author

In CVPR, 2022

Bib PDF

@inproceedings{tiwari2021gcr,
  title = {GCR: Gradient Coreset Based Replay Buffer Selection For Continual Learning},
  author = {Tiwari, Rishabh and Killamsetty, Krishnateja and Iyer, Rishabh and Shenoy, Pradeep},
  booktitle = {CVPR},
  year = {2022},
}

Chipnet: Budget-aware pruning with heaviside continuous approximations

Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, and 1 more author

ICLR, 2021

Bib PDF

@article{tiwari2021chipnet,
  title = {Chipnet: Budget-aware pruning with heaviside continuous approximations},
  author = {Tiwari, Rishabh and Bamba, Udbhav and Chavan, Arnav and Gupta, Deepak K},
  journal = {ICLR},
  year = {2021},
}