← Authors

Behrooz Ghorbani

13 papers · 2019–2023 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (4) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ‘‘ Triple Crown ⚑ Prolific Year (5) πŸ’Ž Century Club (13) πŸ—ƒοΈ Keyword Collector (50) ❓ The Questioner (2)

Conferences

ICML (5) NIPS (5) ICLR (2) EMNLP (1)

Top co-authors

Orhan Firat (8) Ankush Garg (5) Andrea Montanari (3) Xavier Garcia (3) Markus Freitag (3) Justin Gilmer (3) Derrick Xin (2) Patrick Fernandes (2) Behnam Neyshabur (2) Colin Cherry (2)

Keywords

neural network (3) neural machine translation (3) machine translation (3) multilingual translation (2) language model (2) multi-task learning (2) variational inference (1) neural network training (1) neural tangent kernel (1) topic model (1) batch normalization (1) empirical study (1) deep learning (1) reproducing kernel hilbert space (1) curse of dimensionality (1) mean field (1) gradient descent (1) optimization algorithm (1) sampling strategy (1) stochastic gradient descent (1)

Papers

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning NIPS 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023
Scaling Laws for Multilingual Neural Machine Translation ICML 2023
Binarized Neural Machine Translation NIPS 2023
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models ICLR 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? NIPS 2022
Scaling Laws for Neural Machine Translation ICLR 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture ICML 2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation ICML 2022
When Do Neural Networks Outperform Kernel Methods? NIPS 2020
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019
Limitations of Lazy Training of Two-layers Neural Network NIPS 2019
An Instability in Variational Inference for Topic Models ICML 2019