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International Conference on Learning Representations (ICLR), 2021


Date
mai 3, 2021 — mai 7, 2021
Évènement
2021 ICLR
URL
https://iclr.cc/Conferences/2021
Date de soumission
oct. 2, 2020
Date d'envoi des révisions
nov. 10, 2020
Date de réponse aux arbitres
nov. 24, 2020
Date de décision finale
janv. 14, 2021
Lieu
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. 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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