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Petals: Collaborative Inference and Fine-tuning of Large Models.

, , , , , , , и . CoRR, (2022)

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Dmitry Sveshnikov

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DeDrift: Robust Similarity Search under Content Drift., , , и . ICCV, стр. 10992-11001. IEEE, (2023)TabDDPM: Modelling Tabular Data with Diffusion Models., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 17564-17579. PMLR, (2023)Petals: Collaborative Inference and Fine-tuning of Large Models., , , , , , , и . ACL (demo), стр. 558-568. Association for Computational Linguistics, (2023)TABDDPM: MODELLING TABULAR DATA WITH DIFFUSION MODELS, , , и . (2023)Distilling the Knowledge from Normalizing Flows., , и . CoRR, (2021)Label-Efficient Semantic Segmentation with Diffusion Models., , , , и . ICLR, OpenReview.net, (2022)GP-VAE: Deep Probabilistic Time Series Imputation., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 1651-1661. PMLR, (2020)TabDDPM: Modelling Tabular Data with Diffusion Models., , , и . CoRR, (2022)Distributed Inference and Fine-tuning of Large Language Models Over The Internet., , , , , , , и . CoRR, (2023)Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search., , , , , , , , , и 2 other автор(ы). NeurIPS (Competition and Demos), том 176 из Proceedings of Machine Learning Research, стр. 177-189. PMLR, (2021)