Behrooz Ghorbani

According to our database, Behrooz Ghorbani authored at least 19 papers between 2015 and 2023.

Collaborative distances:

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

2023

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.

Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Binarized Neural Machine Translation.

Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Laws for Multilingual Neural Machine Translation.

Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2023

Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation.

Markus Freitag, Behrooz Ghorbani, Patrick Fernandes

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Adaptive Gradient Methods at the Edge of Stability.

Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer

CoRR, 2022

Data Scaling Laws in NMT: The Effect of Noise and Architecture.

Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat

CoRR, 2022

Do Current Multi-Task Optimization Methods in Deep Learning Even Help?

Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation.

Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

Data Scaling Laws in NMT: The Effect of Noise and Architecture.

Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat

Proceedings of the International Conference on Machine Learning, 2022

A Loss Curvature Perspective on Training Instabilities of Deep Learning Models.

Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat

Proceedings of the Tenth International Conference on Learning Representations, 2022

Scaling Laws for Neural Machine Translation.

Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Loss Curvature Perspective on Training Instability in Deep Learning.

Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George E. Dahl, Zachary Nado, Orhan Firat

CoRR, 2021

2020

When Do Neural Networks Outperform Kernel Methods?

Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Limitations of Lazy Training of Two-layers Neural Networks.

Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari

CoRR, 2019

Linearized two-layers neural networks in high dimension.

Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari

CoRR, 2019

Limitations of Lazy Training of Two-layers Neural Network.

Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density.

Behrooz Ghorbani, Shankar Krishnan, Ying Xiao

Proceedings of the 36th International Conference on Machine Learning, 2019

An Instability in Variational Inference for Topic Models.

Behrooz Ghorbani, Hamid Javadi, Andrea Montanari

Proceedings of the 36th International Conference on Machine Learning, 2019

2015

Sparse regression with highly correlated predictors.

Behrooz Ghorbani, Özgür Yilmaz

CoRR, 2015