Behrooz Ghorbani

28 papers A* 12Journal 15Unranked 1

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