Behrooz Ghorbani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | EMNLP | Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation. | Markus Freitag, Behrooz Ghorbani, Patrick Fernandes |
| 2023 | ICML | Scaling Laws for Multilingual Neural Machine Translation. | Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat |
| 2022 | ICLR | Scaling Laws for Neural Machine Translation. | Behrooz Ghorbani, Orhan Firat, Markus Freitag, Ankur Bapna, Maxim Krikun, Xavier Garcia, Ciprian Chelba, Colin Cherry |
| 2022 | ICLR | 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 |
| 2022 | ICML | 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 |
| 2022 | ICML | 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 |
| 2019 | ICML | An Instability in Variational Inference for Topic Models. | Behrooz Ghorbani, Hamid Javadi, Andrea Montanari |
| 2019 | ICML | An Investigation into Neural Net Optimization via Hessian Eigenvalue Density. | Behrooz Ghorbani, Shankar Krishnan, Ying Xiao |