Behrooz Ghorbani

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 28

Top Topics

Optimization Method

Parallel Corpora

Machine Translation

Top Venues

Publications

Markus Freitag, Behrooz Ghorbani, Patrick Fernandes
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. CoRR (2023)
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
Scaling Laws for Multilingual Neural Machine Translation. ICML (2023)
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. NeurIPS (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. CoRR (2023)
Yichi Zhang, Ankush Garg, Yuan Cao, Lukasz Lew, Behrooz Ghorbani, Zhiru Zhang, Orhan Firat
Binarized Neural Machine Translation. NeurIPS (2023)
Markus Freitag, Behrooz Ghorbani, Patrick Fernandes
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. EMNLP (Findings) (2023)
Dami Choi, Derrick Xin, Hamid Dadkhahi, Justin Gilmer, Ankush Garg, Orhan Firat, Chih-Kuan Yeh, Andrew M. Dai, Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning. CoRR (2023)
Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat
Scaling Laws for Multilingual Neural Machine Translation. CoRR (2023)
Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Colin Cherry, Behnam Neyshabur, Orhan Firat
Data Scaling Laws in NMT: The Effect of Noise and Architecture. ICML (2022)
Derrick Xin, Behrooz Ghorbani, Ankush Garg, Orhan Firat, Justin Gilmer
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? CoRR (2022)
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. ICML (2022)
Jeremy M. Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer
Adaptive Gradient Methods at the Edge of Stability. CoRR (2022)
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George Edward Dahl, Zachary Nado, Orhan Firat
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models. ICLR (2022)
Yamini Bansal, Behrooz Ghorbani, Ankush Garg, Biao Zhang, Maxim Krikun, Colin Cherry, Behnam Neyshabur, Orhan Firat
Data Scaling Laws in NMT: The Effect of Noise and Architecture. CoRR (2022)
Biao Zhang, Behrooz Ghorbani, Ankur Bapna, Yong Cheng, Xavier Garcia, Jonathan Shen, Orhan Firat
Examining Scaling and Transfer of Language Model Architectures for Machine Translation. CoRR (2022)
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry
Scaling Laws for Neural Machine Translation. ICLR (2022)
Derrick Xin, Behrooz Ghorbani, Justin Gilmer, Ankush Garg, Orhan Firat
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NeurIPS (2022)
Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry
Scaling Laws for Neural Machine Translation. CoRR (2021)
Justin Gilmer, Behrooz Ghorbani, Ankush Garg, Sneha Kudugunta, Behnam Neyshabur, David Cardoze, George E. Dahl, Zachary Nado, Orhan Firat
A Loss Curvature Perspective on Training Instability in Deep Learning. CoRR (2021)
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
When Do Neural Networks Outperform Kernel Methods? NeurIPS (2020)
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
When Do Neural Networks Outperform Kernel Methods? CoRR (2020)
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
Linearized two-layers neural networks in high dimension. CoRR (2019)
Behrooz Ghorbani, Shankar Krishnan, Ying Xiao
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. CoRR (2019)
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
Limitations of Lazy Training of Two-layers Neural Network. NeurIPS (2019)
Behrooz Ghorbani, Shankar Krishnan, Ying Xiao
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. ICML (2019)
Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari
Limitations of Lazy Training of Two-layers Neural Networks. CoRR (2019)
Behrooz Ghorbani, Hamid Javadi, Andrea Montanari
An Instability in Variational Inference for Topic Models. ICML (2019)
Behrooz Ghorbani, Özgür Yilmaz
Sparse regression with highly correlated predictors. CoRR (2015)