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Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search


May 08, 2022
Harsha Vardhan Simhadri , George Williams , Martin Aumüller , Matthijs Douze , Artem Babenko , Dmitry Baranchuk , Qi Chen , Lucas Hosseini , Ravishankar Krishnaswamy , Gopal Srinivasa , Suhas Jayaram Subramanya , Jingdong Wang


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Label-Efficient Semantic Segmentation with Diffusion Models


Dec 27, 2021
Dmitry Baranchuk , Ivan Rubachev , Andrey Voynov , Valentin Khrulkov , Artem Babenko


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Distilling the Knowledge from Normalizing Flows


Jun 25, 2021
Dmitry Baranchuk , Vladimir Aliev , Artem Babenko

* ICML Workshop: INNF+2021 (Spotlight) 

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Towards Similarity Graphs Constructed by Deep Reinforcement Learning


Nov 27, 2019
Dmitry Baranchuk , Artem Babenko


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Learning to Route in Similarity Graphs


May 27, 2019
Dmitry Baranchuk , Dmitry Persiyanov , Anton Sinitsin , Artem Babenko

* Published in ICML 2019 

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Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors


Jul 23, 2018
Dmitry Baranchuk , Artem Babenko , Yury Malkov

* Paper accepted to ECCV 18 

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