Max Ryabinin
21 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
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π Renaissance Researcher (8) π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (41)
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Conference Polyglot
(5)
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(2)
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Prolific Year
(5)
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Century Club
(21)
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The Questioner
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Keyword Collector
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Conferences
NIPS (10)
EMNLP (4)
ICML (4)
ACL (2)
IJCNLP (1)
Top co-authors
Keywords
large language model
(4)
distributed training
(3)
communication efficiency
(3)
distributed learning
(3)
neural network training
(2)
speculative decoding
(2)
decentralized learning
(2)
model compression
(2)
token generation
(2)
decentralized training
(2)
batch processing
(2)
cross-lingual transfer
(1)
probabilistic modeling
(1)
kl divergence
(1)
machine translation
(1)
unsupervised learning
(1)
graph learning
(1)
distributed optimization
(1)
text classification
(1)
stochastic gradient descent
(1)
Papers
Multilingual Language Model Pretraining using Machine-translated Data
EMNLP 2025
Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems
EMNLP 2025
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
ICML 2025
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
NIPS 2024
RedPajama: an Open Dataset for Training Large Language Models
NIPS 2024
Sequoia: Scalable and Robust Speculative Decoding
NIPS 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements
ACL 2024
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
ICML 2023
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
NIPS 2023
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics
NIPS 2023
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient
ICML 2023
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees
NIPS 2022
RuCoLA: Russian Corpus of Linguistic Acceptability
EMNLP 2022
Secure Distributed Training at Scale
ICML 2022
Itβs All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
IJCNLP 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
NIPS 2021
Distributed Deep Learning In Open Collaborations
NIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
NIPS 2021
Itβs All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
ACL 2021
Embedding Words in Non-Vector Space with Unsupervised Graph Learning
EMNLP 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts
NIPS 2020