Maxim Krikun
7 papers · 2019–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Top co-authors
Research topics
Machine Learning
(5)
Natural Language Processing
(5)
Deep Learning
(4)
Application Areas
(4)
Applications
(4)
Optimization & Theory · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Architectures
(2)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Keywords
mixture of expert
(3)
machine translation
(3)
neural machine translation
(3)
parameter efficiency
(2)
self-supervised learning
(1)
knowledge distillation
(1)
in-context learning
(1)
text generation
(1)
prompt-based learning
(1)
conditional computation
(1)
multilingual machine translation
(1)
low-resource language
(1)
sparse model
(1)
bleu score
(1)
scaling law
(1)
sparse activation
(1)
inference optimization
(1)
model scaling
(1)
cross-entropy loss
(1)
inference throughput
(1)
Papers
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
Scaling Laws for Neural Machine Translation
ICLR 2022
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
EMNLP 2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021
Subtitle Translation as Markup Translation
Interspeech 2021
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
NAACL 2019