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2020 – today
- 2023
[i32]Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin:
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation. CoRR abs/2302.04841 (2023)- [i31]Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova:
A critical look at the evaluation of GNNs under heterophily: are we really making progress? CoRR abs/2302.11640 (2023) - [i30]Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova:
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR abs/2302.13875 (2023) - 2022
- [c26]Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. ICLR 2022 - [c25]Timofey Grigoryev, Andrey Voynov, Artem Babenko:
When, Why, and Which Pretrained GANs Are Useful? ICLR 2022 - [i29]Timofey Grigoryev, Andrey Voynov, Artem Babenko:
When, Why, and Which Pretrained GANs Are Useful? CoRR abs/2202.08937 (2022) - [i28]Yury Gorishniy, Ivan Rubachev, Artem Babenko:
On Embeddings for Numerical Features in Tabular Deep Learning. CoRR abs/2203.05556 (2022) - [i27]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:
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR abs/2205.03763 (2022) - [i26]Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko:
Revisiting Pretraining Objectives for Tabular Deep Learning. CoRR abs/2207.03208 (2022) - [i25]Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova:
Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy. CoRR abs/2209.06177 (2022) - [i24]Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko:
TabDDPM: Modelling Tabular Data with Diffusion Models. CoRR abs/2209.15421 (2022) - 2021
- [c24]Anton Cherepkov, Andrey Voynov, Artem Babenko:
Navigating the GAN Parameter Space for Semantic Image Editing. CVPR 2021: 3671-3680 - [c23]Valentin Khrulkov, Artem Babenko:
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. CVPR 2021: 4988-4997 - [c22]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV 2021: 14408-14417 - [c21]Stanislav Morozov, Andrey Voynov, Artem Babenko:
On Self-Supervised Image Representations for GAN Evaluation. ICLR 2021 - [c20]Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. ICML 2021: 5432-5442 - [c19]Andrey Voynov, Stanislav Morozov, Artem Babenko:
Object Segmentation Without Labels with Large-Scale Generative Models. ICML 2021: 10596-10606 - [c18]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:
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. NeurIPS (Competition and Demos) 2021: 177-189 - [c17]Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko:
Revisiting Deep Learning Models for Tabular Data. NeurIPS 2021: 18932-18943 - [i23]Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets:
Functional Space Analysis of Local GAN Convergence. CoRR abs/2102.04448 (2021) - [i22]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Disentangled Representations from Non-Disentangled Models. CoRR abs/2102.06204 (2021) - [i21]Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko:
Revisiting Deep Learning Models for Tabular Data. CoRR abs/2106.11959 (2021) - [i20]Dmitry Baranchuk, Vladimir Aliev, Artem Babenko:
Distilling the Knowledge from Normalizing Flows. CoRR abs/2106.12699 (2021) - [i19]Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko:
Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR abs/2111.14825 (2021) - [i18]Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. CoRR abs/2112.03126 (2021) - 2020
- [c16]Sergei Popov, Stanislav Morozov, Artem Babenko:
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. ICLR 2020 - [c15]Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitry V. Pyrkin, Sergei Popov, Artem Babenko:
Editable Neural Networks. ICLR 2020 - [c14]Andrey Voynov, Artem Babenko:
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. ICML 2020: 9786-9796 - [i17]Andrey Voynov, Artem Babenko:
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. CoRR abs/2002.03754 (2020) - [i16]Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy V. Pyrkin, Sergei Popov, Artem Babenko:
Editable Neural Networks. CoRR abs/2004.00345 (2020) - [i15]Andrey Voynov, Stanislav Morozov, Artem Babenko:
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models. CoRR abs/2006.04988 (2020) - [i14]Anton Cherepkov, Andrey Voynov, Artem Babenko:
Navigating the GAN Parameter Space for Semantic Image Editing. CoRR abs/2011.13786 (2020)
2010 – 2019
- 2019
- [c13]Stanislav Morozov, Artem Babenko:
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. ICCV 2019: 3036-3045 - [c12]Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko:
Learning to Route in Similarity Graphs. ICML 2019: 475-484 - [c11]Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko:
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. NeurIPS 2019: 6903-6913 - [i13]Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko:
Learning to Route in Similarity Graphs. CoRR abs/1905.10987 (2019) - [i12]Stanislav Morozov, Artem Babenko:
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. CoRR abs/1908.03883 (2019) - [i11]Stanislav Morozov, Artem Babenko:
Relevance Proximity Graphs for Fast Relevance Retrieval. CoRR abs/1908.06887 (2019) - [i10]Sergei Popov, Stanislav Morozov, Artem Babenko:
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. CoRR abs/1909.06312 (2019) - [i9]Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko:
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. CoRR abs/1910.03524 (2019) - [i8]Dmitry Baranchuk, Artem Babenko:
Towards Similarity Graphs Constructed by Deep Reinforcement Learning. CoRR abs/1911.12122 (2019) - [i7]Andrey Voynov, Artem Babenko:
RPGAN: GANs Interpretability via Random Routing. CoRR abs/1912.10920 (2019) - 2018
- [c10]Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. ECCV (12) 2018: 209-224 - [c9]Stanislav Morozov, Artem Babenko:
Non-metric Similarity Graphs for Maximum Inner Product Search. NeurIPS 2018: 4726-4735 - [i6]Dmitry Baranchuk, Artem Babenko, Yury Malkov:
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. CoRR abs/1802.02422 (2018) - [i5]Vadim Lebedev, Artem Babenko, Victor S. Lempitsky:
Impostor Networks for Fast Fine-Grained Recognition. CoRR abs/1806.05217 (2018) - 2017
- [c8]Artem Babenko, Victor S. Lempitsky:
Product Split Trees. CVPR 2017: 6316-6324 - [c7]Artem Babenko, Victor S. Lempitsky:
AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. ICCV 2017: 4895-4903 - 2016
- [c6]Artem Babenko, Victor S. Lempitsky:
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. CVPR 2016: 2055-2063 - [i4]Artem Babenko, Relja Arandjelovic, Victor S. Lempitsky:
Pairwise Quantization. CoRR abs/1606.01550 (2016) - 2015
- [j1]Artem Babenko, Victor S. Lempitsky:
The Inverted Multi-Index. IEEE Trans. Pattern Anal. Mach. Intell. 37(6): 1247-1260 (2015) - [c5]Artem Babenko, Victor S. Lempitsky:
Tree quantization for large-scale similarity search and classification. CVPR 2015: 4240-4248 - [c4]Artem Babenko, Victor S. Lempitsky:
Aggregating Local Deep Features for Image Retrieval. ICCV 2015: 1269-1277 - [i3]Artem Babenko, Victor S. Lempitsky:
Aggregating Deep Convolutional Features for Image Retrieval. CoRR abs/1510.07493 (2015) - 2014
- [c3]Artem Babenko, Victor S. Lempitsky:
Additive Quantization for Extreme Vector Compression. CVPR 2014: 931-938 - [c2]Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky:
Neural Codes for Image Retrieval. ECCV (1) 2014: 584-599 - [i2]Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky:
Neural Codes for Image Retrieval. CoRR abs/1404.1777 (2014) - [i1]Artem Babenko, Victor S. Lempitsky:
Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions. CoRR abs/1404.1831 (2014) - 2012
- [c1]Artem Babenko, Victor S. Lempitsky:
The inverted multi-index. CVPR 2012: 3069-3076
Coauthor Index
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last updated on 2023-03-26 00:23 CET by the dblp team
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