Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022

Curran Associates, Inc., 2022.

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Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes

Кодрян М. С., Лобачева Е. М., Nakhodnov M. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 14058–14070.

Добавлено: 20 декабря 2022 г.

Towards Practical Control of Singular Values of Convolutional Layers

Сендерович А. Л., Булатова Е. В., Obukhov A. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 10918–10930.

Добавлено: 24 января 2023 г.

HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

Аланов А., Titov V., Ветров Д. П., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 29414–29426.

Добавлено: 27 января 2023 г.

Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees

Безносиков А. Н., Richtarik P., Дискин М. С. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 14013–14029.

Добавлено: 27 января 2023 г.

On Embeddings for Numerical Features in Tabular Deep Learning

Gorishniy Y., Ivan Rubachev, Бабенко А. В., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. Ch. 1 P. 24991–25004.

Добавлено: 28 января 2023 г.

BR-SNIS: Bias Reduced Self-Normalized Importance Sampling

Cardoso G., Самсонов С. В., Thin A. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 716–729.

Добавлено: 1 февраля 2023 г.

Local-Global MCMC kernels: the best of both worlds

Самсонов С. В., Лагутин Е. М., Gabrie M. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 5178–5193.

Добавлено: 1 февраля 2023 г.

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

Тяпкин Д. Н., Беломестный Д. В., Calandriello D. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 10737–10751.

Добавлено: 3 февраля 2023 г.

Nonparametric Uncertainty Quantification for Single Deterministic Neural Network

Kotelevskii N., Artemenkov A., Fedyanin K. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 36308–36323.

Добавлено: 10 октября 2023 г.

Wasserstein Iterative Networks for Barycenter Estimation

Alexander Korotin, Vage Egiazarian, Li L. и др., , in: Thirty-Sixth Conference on Neural Information Processing Systems : NeurIPS 2022.: Curran Associates, Inc., 2022. P. 15672–15686.

Добавлено: 4 марта 2024 г.

Ключевые слова: machine learning, artificial intelligence