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Scalable Batch Acquisition for Deep Bayesian Active Learning.

A. Rubashevskii, D. Kotova, and M. Panov. SDM, page 739-747. SIAM, (2023)

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Ivo Panov

Vladimir Panov

Evgenij von Panov

Petru Joan Maxim

Angela Maximini

Other publications of authors with the same name

Constructing Graph Node Embeddings via Discrimination of Similarity Distributions.M. Panov, and S. Tsepa. ICDM Workshops, page 1050-1053. IEEE, (2018)Optimal Estimation in Mixed-Membership Stochastic Block Models.F. Noskov, and M. Panov. CoRR, (2023)Conformal Prediction for Federated Uncertainty Quantification Under Label Shift.V. Plassier, M. Makni, A. Rubashevskii, E. Moulines, and M. Panov. ICML, volume 202 of Proceedings of Machine Learning Research, page 27907-27947. PMLR, (2023)Embedded Ensembles: infinite width limit and operating regimes.M. Velikanov, R. Kail, I. Anokhin, R. Vashurin, M. Panov, A. Zaytsev, and D. Yarotsky. AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3138-3163. PMLR, (2022)LM-Polygraph: Uncertainty Estimation for Language Models.E. Fadeeva, R. Vashurin, A. Tsvigun, A. Vazhentsev, S. Petrakov, K. Fedyanin, D. Vasilev, E. Goncharova, A. Panchenko, M. Panov and 2 other author(s). EMNLP (Demos), page 446-461. Association for Computational Linguistics, (2023)Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?G. Kuzmin, A. Vazhentsev, A. Shelmanov, X. Han, S. Suster, M. Panov, A. Panchenko, and T. Baldwin. IJCNLP (1), page 744-770. Association for Computational Linguistics, (2023)Efficient Conformal Prediction under Data Heterogeneity.V. Plassier, N. Kotelevskii, A. Rubashevskii, F. Noskov, M. Velikanov, A. Fishkov, S. Horváth, M. Takác, E. Moulines, and M. Panov. AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4879-4887. PMLR, (2024)Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data.V. Shumovskaia, K. Fedyanin, I. Sukharev, D. Berestnev, and M. Panov. CoRR, (2020)Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension.M. Gomtsyan, N. Mokrov, M. Panov, and Y. Yanovich. ACML, volume 101 of Proceedings of Machine Learning Research, page 1126-1141. PMLR, (2019)GTApprox: Surrogate modeling for industrial design.M. Belyaev, E. Burnaev, E. Kapushev, M. Panov, P. Prikhodko, D. Vetrov, and D. Yarotsky. Adv. Eng. Softw., (2016)

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Disambiguation of "Panov, Maxim"

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Scalable Batch Acquisition for Deep Bayesian Active Learning.

Please choose a person to relate this publication to

Ivo Panov

Vladimir Panov

Evgenij von Panov

Petru Joan Maxim

Angela Maximini

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Panov, Maxim"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable Batch Acquisition for Deep Bayesian Active Learning.

Please choose a person to relate this publication to

Ivo Panov

Vladimir Panov

Evgenij von Panov

Petru Joan Maxim

Angela Maximini

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Scalable Batch Acquisition for Deep Bayesian Active Learning.