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Christopher Pal

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

Polytechnique Montréal

Google Scholar

About

Christopher Pal is a Canada CIFAR AI Chair and a full professor at the Department of Computer Engineering and Software Engineering at Polytechnique Montréal.

Pal’s research interests include computer vision and pattern recognition, computational photography, natural language processing, statistical machine learning and applications to human computer interaction.

Relevant Publications

  • Pilault, J., Elhattami, A., & Pal, C. (2020). Conditionally adaptive multi-task learning: Improving transfer learning in nlp using fewer parameters & less data.

  • Bouteiller, Y., Ramstedt, S., Beltrame, G., Pal, C., & Binas, J. (2020, September). Reinforcement Learning with Random Delays. In International Conference on Learning Representations.

  • Scholak, T., Li, R., Bahdanau, D., de Vries, H., & Pal, C. (2020). DuoRAT: Towards Simpler Text-to-SQL Models.

  • Gontier, N., Sinha, K., Reddy, S., & Pal, C. (2020). Measuring systematic generalization in neural proof generation with transformers.

  • Subramanian, S., Li, R., Pilault, J., & Pal, C. (2019). On extractive and abstractive neural document summarization with transformer language models.

Institution

Mila

Polytechnique Montréal

Department

Computer Engineering and Software Engineering

Education

  • PhD, (Mathematics) University of Waterloo
  • MSc (Mathematics), University of Waterloo

Country

Canada

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