Arslan Chaudhry
email: arslan.chaudhry [AT] eng.ox.ac.uk

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I am looking for post-PhD roles!

I am a final year DPhil (PhD) student in the Torr Vision Group at the University of Oxford working under the supervision of Prof. Philip H. S. Torr and Dr. Puneet K. Dokania. I am a Rhodes Scholar from Pakistan for 2016. Before joining Oxford, I worked as a software developer at Mentor Graphics for more than three years developing Mentor Embedded Hypervisor. Prior to that, I did my undergraduate in Electrical Engineering from the University of Engineering and Technology, Lahore where I graduated at the top of my class.

The goal of my research is to build agents capable of learning continually over an indefinite period of time. I interned thrice with Facebook AI during the course of my PhD.

When I am not in my lab, I can be seen riding my bicycle in the lamplit Oxford alleys.

 
  News
 

  Publications
  1. Using Hindsight to Anchor Past Knowledge in Continual Learning
    Arslan Chaudhry, David Lopez-Paz, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr
    ICML (under submission), 2020
  2.  
  3. On Tiny Episodic Memories in Continual Learning
    Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K. Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
    NeurIPS (under submission), 2019
    [Paper] [Code]
  4.  
  5. Efficient Lifelong Learning with A-GEM
    Arslan Chaudhry, Marc'aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
    ICLR, 2019
    [Paper] [Code]
  6.  
  7. Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
    Arslan Chaudhry, Puneet Kumar Dokania, Thalaiyasingam Ajanthan, Philip H.S Torr
    ECCV, 2018
    [Paper] [Code]
  8.  
  9. Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation
    Arslan Chaudhry, Puneet Kumar Dokania, Philip H.S Torr
    BMVC, 2017 (oral)
    [Paper] [Code] [Talk]

[Workshops]

  1. Continual Learning with Tiny Episodic Memories
    Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K. Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato
    ICML, 2019 (Workshop on Multi-Task and Lifelong Reinforcement Learning)
    [Paper] [Code]
  2.  
  3. On Efficient Lifelong Learning with A-GEM
    Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
    NeurIPS, 2018 (Continual Learning Workshop)
    [Paper] [Code]
 

  Experience
 

  Teaching
  • 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
 

  Academic Service
  • Conference Reviewer: ICML (2019-2020), NeurIPS (2019-), CVPR (2019-2020), ICCV (2019-), ECCV (2020)
  • Journal Reviewer: IEEE Transaction on Multimedia (2017)
 

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