Max Ryabinin
20 papers · 2020–2025 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Max Ryabinin?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Michael Diskin, Alexander Borzunov, Tim Dettmers
7 papers
· 2021–2025
· NeurIPS, ICML, EMNLP
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Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems
EMNLP 2025
Distributed Inference and Fine-tuning of Large Language Models Over The Internet
NeurIPS 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
NeurIPS 2022
Secure Distributed Training at Scale
ICML 2022
Distributed Deep Learning In Open Collaborations
NeurIPS 2021
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
NeurIPS 2021
6 papers whose co-authors appear nowhere else under this name
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
ICML 2025
RuCoLA: Russian Corpus of Linguistic Acceptability
EMNLP 2022
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning
ACL 2021
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
NeurIPS 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
NeurIPS 2020