Behrooz Ghorbani
13 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 👑 Triple Crown
⚡
Prolific Year · Productive
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(57)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(7)
Natural Language Processing
(7)
Applications
(6)
Artificial Intelligence
(3)
Techniques
(3)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Resources & Methods
(2)
Core AI
(1)
Learning Types · Machine Learning
(1)
Keywords
neural machine translation
(4)
neural network
(3)
machine translation
(3)
multilingual translation
(2)
multi-task learning
(2)
language model
(2)
power law
(2)
batch normalization
(2)
scaling law
(2)
variational inference
(1)
empirical study
(1)
neural network training
(1)
deep learning
(1)
reproducing kernel hilbert space
(1)
neural tangent kernel
(1)
optimization algorithm
(1)
learning rate
(1)
curse of dimensionality
(1)
mean field
(1)
gradient descent
(1)
Papers
Binarized Neural Machine Translation
NeurIPS 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation
EMNLP 2023
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
NeurIPS 2023
Scaling Laws for Multilingual Neural Machine Translation
ICML 2023
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models
ICLR 2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
ICML 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
NeurIPS 2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
ICML 2022
Scaling Laws for Neural Machine Translation
ICLR 2022
When Do Neural Networks Outperform Kernel Methods?
NeurIPS 2020
An Instability in Variational Inference for Topic Models
ICML 2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
ICML 2019
Limitations of Lazy Training of Two-layers Neural Network
NeurIPS 2019