Artem Babenko

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 65

Top Topics

Diffusion Models

Approximate Nearest Neighbor

Top Venues

Publications

Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. CoRR (2024)
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
TabR: Tabular Deep Learning Meets Nearest Neighbors. ICLR (2024)
Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh
Extreme Compression of Large Language Models via Additive Quantization. CoRR (2024)
Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR (2024)
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, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov
YaART: Yet Another ART Rendering Technology. CoRR (2024)
Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
TabReD: A Benchmark of Tabular Machine Learning in-the-Wild. CoRR (2024)
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS (2023)
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 (2023)
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation. CoRR (2023)
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
TabDDPM: Modelling Tabular Data with Diffusion Models. ICML (2023)
Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR (2023)
Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR (2023)
Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics. NeurIPS (2023)
Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond. NeurIPS (2023)
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)
Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CoRR (2023)
Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning. CoRR (2023)
Timofey Grigoryev, Andrey Voynov, Artem Babenko
When, Why, and Which Pretrained GANs Are Useful? CoRR (2022)
Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko
Revisiting Pretraining Objectives for Tabular Deep Learning. CoRR (2022)
Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Label-Efficient Semantic Segmentation with Diffusion Models. ICLR (2022)
Timofey Grigoryev, Andrey Voynov, Artem Babenko
When, Why, and Which Pretrained GANs Are Useful? ICLR (2022)
Yury Gorishniy, Ivan Rubachev, Artem Babenko
On Embeddings for Numerical Features in Tabular Deep Learning. NeurIPS (2022)
Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
TabDDPM: Modelling Tabular Data with Diffusion Models. CoRR (2022)
Yury Gorishniy, Ivan Rubachev, Artem Babenko
On Embeddings for Numerical Features in Tabular Deep Learning. CoRR (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
Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR (2022)
Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy. CoRR (2022)
Andrey Voynov, Stanislav Morozov, Artem Babenko
Object Segmentation Without Labels with Large-Scale Generative Models. ICML (2021)
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)
Dmitry Baranchuk, Vladimir Aliev, Artem Babenko
Distilling the Knowledge from Normalizing Flows. CoRR (2021)
Anton Cherepkov, Andrey Voynov, Artem Babenko
Navigating the GAN Parameter Space for Semantic Image Editing. CVPR (2021)
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Revisiting Deep Learning Models for Tabular Data. CoRR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Disentangled Representations from Non-Disentangled Models. CoRR (2021)
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
Label-Efficient Semantic Segmentation with Diffusion Models. CoRR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR (2021)
Valentin Khrulkov, Artem Babenko
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. CVPR (2021)
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Revisiting Deep Learning Models for Tabular Data. NeurIPS (2021)
Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
Functional Space Analysis of Local GAN Convergence. ICML (2021)
Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
Functional Space Analysis of Local GAN Convergence. CoRR (2021)
Stanislav Morozov, Andrey Voynov, Artem Babenko
On Self-Supervised Image Representations for GAN Evaluation. ICLR (2021)
Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV (2021)
Andrey Voynov, Stanislav Morozov, Artem Babenko
Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models. CoRR (2020)
Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin, Sergei Popov, Artem Babenko
Editable Neural Networks. ICLR (2020)
Anton Cherepkov, Andrey Voynov, Artem Babenko
Navigating the GAN Parameter Space for Semantic Image Editing. CoRR (2020)
Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin, Sergei Popov, Artem Babenko
Editable Neural Networks. CoRR (2020)
Sergei Popov, Stanislav Morozov, Artem Babenko
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. ICLR (2020)
Andrey Voynov, Artem Babenko
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. CoRR (2020)
Andrey Voynov, Artem Babenko
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. ICML (2020)
Stanislav Morozov, Artem Babenko
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. ICCV (2019)
Stanislav Morozov, Artem Babenko
Relevance Proximity Graphs for Fast Relevance Retrieval. CoRR (2019)
Dmitry Baranchuk, Artem Babenko
Towards Similarity Graphs Constructed by Deep Reinforcement Learning. CoRR (2019)
Stanislav Morozov, Artem Babenko
Unsupervised Neural Quantization for Compressed-Domain Similarity Search. CoRR (2019)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. CoRR (2019)
Sergei Popov, Stanislav Morozov, Artem Babenko
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. CoRR (2019)
Andrey Voynov, Artem Babenko
RPGAN: GANs Interpretability via Random Routing. CoRR (2019)
Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
Learning to Route in Similarity Graphs. ICML (2019)
Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
Learning to Route in Similarity Graphs. CoRR (2019)
Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. NeurIPS (2019)
Dmitry Baranchuk, Artem Babenko, Yury Malkov
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. ECCV (12) (2018)
Vadim Lebedev, Artem Babenko, Victor S. Lempitsky
Impostor Networks for Fast Fine-Grained Recognition. CoRR (2018)
Dmitry Baranchuk, Artem Babenko, Yury Malkov
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. CoRR (2018)
Stanislav Morozov, Artem Babenko
Non-metric Similarity Graphs for Maximum Inner Product Search. NeurIPS (2018)
Artem Babenko, Victor S. Lempitsky
Product Split Trees. CVPR (2017)
Artem Babenko, Victor S. Lempitsky
AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. ICCV (2017)
Artem Babenko, Victor S. Lempitsky
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. CVPR (2016)
Artem Babenko, Relja Arandjelovic, Victor S. Lempitsky
Pairwise Quantization. CoRR (2016)
Artem Babenko, Victor S. Lempitsky
The Inverted Multi-Index. IEEE Trans. Pattern Anal. Mach. Intell. 37 (6) (2015)
Artem Babenko, Victor S. Lempitsky
Aggregating Local Deep Features for Image Retrieval. ICCV (2015)
Artem Babenko, Victor S. Lempitsky
Tree quantization for large-scale similarity search and classification. CVPR (2015)
Artem Babenko, Victor S. Lempitsky
Aggregating Deep Convolutional Features for Image Retrieval. CoRR (2015)
Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky
Neural Codes for Image Retrieval. CoRR (2014)
Artem Babenko, Victor S. Lempitsky
Additive Quantization for Extreme Vector Compression. CVPR (2014)
Artem Babenko, Victor S. Lempitsky
Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions. CoRR (2014)
Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky
Neural Codes for Image Retrieval. ECCV (1) (2014)
Artem Babenko, Victor S. Lempitsky
The inverted multi-index. CVPR (2012)