Gabriel Pereyra

According to our database, Gabriel Pereyra authored at least 4 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.

Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov

CoRR, 2022

2018

Large scale distributed neural network training through online distillation.

Rohan Anil, Gabriel Pereyra, Alexandre Passos, Róbert Ormándi, George E. Dahl, Geoffrey E. Hinton

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Regularizing Neural Networks by Penalizing Confident Output Distributions.

Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Batch normalized recurrent neural networks.

César Laurent, Gabriel Pereyra, Philemon Brakel, Ying Zhang, Yoshua Bengio

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016