Arslan Chaudhry

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I am a Research Scientist at DeepMind in Mountain View. My research focus is on machine learning models that can accrue knowledge over time and in doing so become more sample and compute efficient. Towards this, I study continual-, transfer-, meta- and multitask learning.

I did my Phd in Machine Learning with Prof. Philip H. S. Torr at the University of Oxford as a Rhodes Scholar. My Phd thesis was continual learning for efficient machine learning. Before that, I studied Electrical Engineering at the University of Engineering and Technology, Lahore.




  • Tutorials, Machine Learning, Trinity 2018, Hilary 2020, Stanford House
  • Tutorials, Networking, Trinity (2018, 2019), University of Oxford
  • Tutorials, Operating Systems, Hilary (2018, 2019), University of Oxford
  • Lab, Software Engineering, Hilary (2017, 2018, 2019), University of Oxford
  • Teaching Assistant, Operating Systems, Spring 2013, UET

  • Continual Learning in Deep Neural Networks, July 2020, KAUST
  • Continual Learning in Deep Neural Networks, July 2020, Google Research
  • Continual Learning in Deep Neural Networks, April 2020, Google DeepMind
  • Machine Learning Introduction, December 2017, UET Lahore

  Academic Service
  • Conference Reviewer: ICML (2019-2021), NeurIPS (2019-2022), ICLR (2021-2023), CVPR (2019-2020), ICCV (2019), ECCV (2020)
  • Journal Reviewer: IEEE TPAMI, TMLR, IEEE Transaction on Multimedia

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