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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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On Embeddings for Numerical Features in Tabular Deep Learning


Mar 15, 2022
Yury Gorishniy, Ivan Rubachev, Artem Babenko

* Code: https://github.com/Yura52/tabular-dl-num-embeddings (v2: minor fixes) 

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When, Why, and Which Pretrained GANs Are Useful?


Mar 10, 2022
Timofey Grigoryev, Andrey Voynov, Artem Babenko


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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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Latent Transformations via NeuralODEs for GAN-based Image Editing


Nov 29, 2021
Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets, Artem Babenko

* Published at ICCV 2021 

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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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Revisiting Deep Learning Models for Tabular Data


Jun 22, 2021
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

* Code: https://github.com/yandex-research/rtdl 

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Disentangled Representations from Non-Disentangled Models


Feb 11, 2021
Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets, Artem Babenko


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Functional Space Analysis of Local GAN Convergence


Feb 08, 2021
Valentin Khrulkov, Artem Babenko, Ivan Oseledets


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Navigating the GAN Parameter Space for Semantic Image Editing


Dec 01, 2020
Anton Cherepkov, Andrey Voynov, Artem Babenko

* Supplementary code: https://github.com/yandex-research/navigan 

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Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models


Jun 08, 2020
Andrey Voynov, Stanislav Morozov, Artem Babenko


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Editable Neural Networks


Apr 01, 2020
Anton Sinitsin, Vsevolod Plokhotnyuk, Vsevolod Plokhotnyuk, Sergei Popov, Artem Babenko


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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space


Feb 18, 2020
Andrey Voynov, Artem Babenko


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RPGAN: GANs Interpretability via Random Routing


Feb 17, 2020
Andrey Voynov, Artem Babenko


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Towards Similarity Graphs Constructed by Deep Reinforcement Learning


Nov 27, 2019
Dmitry Baranchuk, Artem Babenko


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Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs


Oct 16, 2019
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko


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Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs


Oct 09, 2019
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko


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Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data


Sep 19, 2019
Sergei Popov, Stanislav Morozov, Artem Babenko


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Unsupervised Neural Quantization for Compressed-Domain Similarity Search


Aug 11, 2019
Stanislav Morozov, 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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Impostor Networks for Fast Fine-Grained Recognition


Jun 13, 2018
Vadim Lebedev, Artem Babenko, Victor Lempitsky


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Pairwise Quantization


Jun 05, 2016
Artem Babenko, Relja Arandjelović, Victor Lempitsky


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