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International Conference on Learning Representations (ICLR), 2021


Date
May 3, 2021 — May 7, 2021
Event
2021 ICLR
Website
https://iclr.cc/Conferences/2021
Submission Deadline
Oct 2, 2020
Review Release Date
Nov 10, 2020
Rebuttal Deadline
Nov 24, 2020
Final Decision Date
Jan 14, 2021
Location
Virtual

Publications

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data. Jonathan Pilault, Amine El Hattami, Christopher Pal. At International Conference on Learning Representations (ICLR),  2021.

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Predicting Infectiousness for Proactive Contact Tracing. Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, victor schmidt, Pierre-luc St-charles, hannah alsdurf, Olexa Bilaniuk, david buckeridge, gaetan caron, pierre luc carrier, Joumana Ghosn, satya ortiz gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf, abhinav sharma, Jian Tang, andrew williams. At International Conference on Learning Representations (ICLR),  2021.

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Pruning Neural Networks at Initialization: Why are We Missing the Mark?. Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin. At International Conference on Learning Representations (ICLR),  2021.

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Reinforcement Learning with Random Delays. Simon Ramstedt, Yann Bouteiller, Giovanni Beltrame, Christopher Pal, Jonathan Binas. At International Conference on Learning Representations (ICLR),  2021.

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Can Active Learning Preemptively Mitigate Fairness Issues?. Frédéric Branchaud-Charron, Parmida Atighhehchian, Pau Rodriguez, Grace Abuhamad, Alexandre Lacoste. At Workshop at the International Conference on Learning Representations (ICLR),  2022.

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