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NeurIPS 2026YandexCentralTinkoffLLM pretraining & scaling laws

Scaling Laws for SAE Training Data

Nikita Koriagin, Nikita Balagansky, Daniil Gavrilov

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026YandexOptimization

Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Dmitry Kovalev

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Higher School of EconomicsYandex, HSEYandexYandex ResearchGraph neural networks

Benchmarking Graph Self-Supervised Learning for Node-Level Tasks: Insights and Strong Baseline

Dmitry Eremeev, Gleb Bazhenov, Oleg Platonov, Artem Babenko and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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78%Highly rated
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NeurIPS 2026Yandex ResearchHigher School of EconomicsYandexYandex, HSEDatasets & benchmarks

Metropolis-Scale Road Network Datasets for Fine-Grained Urban Traffic Modeling

New metropolis-scale road network datasets with real connectivity and 5-minute speed and volume data expose scalability limits in traffic forecasting and motivate a simple efficient baseline.

Fedor Velikonivtsev, Oleg Platonov, Ekaterina Alimaskina, Gleb Bazhenov and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5