Babenko, Artem

38 publications

ICLR 2025 TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy, Akim Kotelnikov, Artem Babenko

ICLR 2025 TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko

ICML 2024 Extreme Compression of Large Language Models via Additive Quantization Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh

NeurIPS 2024 Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk

ICLR 2024 TabR: Tabular Deep Learning Meets Nearest Neighbors Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko

CVPR 2024 Your Student Is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko

ICLR 2023 A Critical Look at the Evaluation of GNNs Under Heterophily: Are We Really Making Progress? Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova

NeurIPS 2023 Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova

NeurIPS 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova

NeurIPS 2023 Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin

ICML 2023 TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko

ICLR 2022 Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

NeurIPS 2022 On Embeddings for Numerical Features in Tabular Deep Learning Yury Gorishniy, Ivan Rubachev, Artem Babenko

ICLR 2022 When, Why, and Which Pretrained GANs Are Useful? Timofey Grigoryev, Andrey Voynov, Artem Babenko

ICMLW 2021 Discovering Weight Initializers with Meta Learning Dmitry Baranchuk, Artem Babenko

ICMLW 2021 Distilling the Knowledge from Conditional Normalizing Flows Dmitry Baranchuk, Vladimir Aliev, Artem Babenko

ICML 2021 Functional Space Analysis of Local GAN Convergence Valentin Khrulkov, Artem Babenko, Ivan Oseledets

ICCV 2021 Latent Transformations via NeuralODEs for GAN-Based Image Editing Valentin Khrulkov, Leyla Mirvakhabova, Ivan Oseledets, Artem Babenko

CVPR 2021 Navigating the GAN Parameter Space for Semantic Image Editing Anton Cherepkov, Andrey Voynov, Artem Babenko

CVPR 2021 Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation Valentin Khrulkov, Artem Babenko

ICML 2021 Object Segmentation Without Labels with Large-Scale Generative Models Andrey Voynov, Stanislav Morozov, Artem Babenko

ICLR 2021 On Self-Supervised Image Representations for GAN Evaluation Stanislav Morozov, Andrey Voynov, Artem Babenko

NeurIPS 2021 Revisiting Deep Learning Models for Tabular Data Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko

ICLR 2020 Editable Neural Networks Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin, Sergei Popov, Artem Babenko

ICLR 2020 Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov, Stanislav Morozov, Artem Babenko

ICML 2020 Unsupervised Discovery of Interpretable Directions in the GAN Latent Space Andrey Voynov, Artem Babenko

NeurIPS 2019 Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko

ICML 2019 Learning to Route in Similarity Graphs Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko

NeurIPS 2018 Non-Metric Similarity Graphs for Maximum Inner Product Search Stanislav Morozov, Artem Babenko

ECCV 2018 Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors Dmitry Baranchuk, Artem Babenko, Yury Malkov

ICCV 2017 AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding Artem Babenko, Victor Lempitsky

CVPR 2017 Product Split Trees Artem Babenko, Victor Lempitsky

CVPR 2016 Efficient Indexing of Billion-Scale Datasets of Deep Descriptors Artem Babenko, Victor Lempitsky

ICCV 2015 Aggregating Local Deep Features for Image Retrieval Artem Babenko, Victor Lempitsky

CVPR 2015 Tree Quantization for Large-Scale Similarity Search and Classification Artem Babenko, Victor Lempitsky

CVPR 2014 Additive Quantization for Extreme Vector Compression Artem Babenko, Victor Lempitsky

ECCV 2014 Neural Codes for Image Retrieval Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky

CVPR 2012 The Inverted Multi-Index Artem Babenko, Victor S. Lempitsky