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Artem Babenko
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2020 – today
- 2024
- [j2]Sergey Kastryulin
, Denis Prokopenko
QUASAR: QUality and Aesthetics Scoring With Advanced Representations. IEEE Access 12: 160946-160956 (2024) - [c35]Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko:
Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CVPR 2024: 9275-9285 - [c34]Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko:
TabR: Tabular Deep Learning Meets Nearest Neighbors. ICLR 2024 - [c33]Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh:
Extreme Compression of Large Language Models via Additive Quantization. ICML 2024 - [i41]Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh:
Extreme Compression of Large Language Models via Additive Quantization. CoRR abs/2401.06118 (2024) - [i40]Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov:
QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR abs/2403.06866 (2024) - [i39]Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin
YaART: Yet Another ART Rendering Technology. CoRR abs/2404.05666 (2024) - [i38]Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk:
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. CoRR abs/2406.14539 (2024) - [i37]Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko:
TabReD: A Benchmark of Tabular Machine Learning in-the-Wild. CoRR abs/2406.19380 (2024) - [i36]Yury Gorishniy, Akim Kotelnikov, Artem Babenko:
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling. CoRR abs/2410.24210 (2024) - 2023
- [c32]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? ICLR 2023 - [c31]Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko:
TabDDPM: Modelling Tabular Data with Diffusion Models. ICML 2023: 17564-17579 - [c30]Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova:
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS 2023 - [c29]Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova:
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond. NeurIPS 2023 - [c28]Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin:
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics. NeurIPS 2023 - [i35]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) - [i34]Oleg Platonov
A critical look at the evaluation of GNNs under heterophily: are we really making progress? CoRR abs/2302.11640 (2023) - [i33]Gleb Bazhenov
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR abs/2302.13875 (2023) - [i32]Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko:
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR abs/2304.04344 (2023) - [i31]Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko:
TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning. CoRR abs/2307.14338 (2023) - [i30]Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk:
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CoRR abs/2312.10835 (2023) - 2022
- [c27]Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko:
Label-Efficient Semantic Segmentation with Diffusion Models. ICLR 2022 - [c26]Timofey Grigoryev, Andrey Voynov, Artem Babenko:
When, Why, and Which Pretrained GANs Are Useful? ICLR 2022 - [c25]Yury Gorishniy, Ivan Rubachev, Artem Babenko:
On Embeddings for Numerical Features in Tabular Deep Learning. NeurIPS 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
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 2024-12-02 22:30 CET by the dblp team
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