Artem Babenko
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
6
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | TabM: Advancing tabular deep learning with parameter-efficient ensembling. | Yury Gorishniy, Akim Kotelnikov, Artem Babenko |
| 2025 | ICLR | TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks. | Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko |
| 2025 | KDD | YaART: Yet Another ART Rendering Technology. | 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, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov |
| 2024 | CVPR | Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. | Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko |
| 2024 | ICLR | TabR: Tabular Deep Learning Meets Nearest Neighbors. | Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko |
| 2024 | ICML | Extreme Compression of Large Language Models via Additive Quantization. | Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh |
| 2023 | ICLR | 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 |
| 2023 | ICML | TabDDPM: Modelling Tabular Data with Diffusion Models. | Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko |
| 2022 | ICLR | Label-Efficient Semantic Segmentation with Diffusion Models. | Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko |
| 2022 | ICLR | When, Why, and Which Pretrained GANs Are Useful? | Timofey Grigoryev, Andrey Voynov, Artem Babenko |
| 2021 | CVPR | Navigating the GAN Parameter Space for Semantic Image Editing. | Anton Cherepkov, Andrey Voynov, Artem Babenko |
| 2021 | CVPR | Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. | Valentin Khrulkov, Artem Babenko |
| 2021 | ICCV | Latent Transformations via NeuralODEs for GAN-based Image Editing. | Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko |
| 2021 | ICLR | On Self-Supervised Image Representations for GAN Evaluation. | Stanislav Morozov, Andrey Voynov, Artem Babenko |
| 2021 | ICML | Functional Space Analysis of Local GAN Convergence. | Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets |
| 2021 | ICML | Object Segmentation Without Labels with Large-Scale Generative Models. | Andrey Voynov, Stanislav Morozov, Artem Babenko |
| 2020 | ICLR | Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. | Sergei Popov, Stanislav Morozov, Artem Babenko |
| 2020 | ICLR | Editable Neural Networks. | Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitry V. Pyrkin, Sergei Popov, Artem Babenko |
| 2020 | ICML | Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. | Andrey Voynov, Artem Babenko |
| 2019 | ICCV | Unsupervised Neural Quantization for Compressed-Domain Similarity Search. | Stanislav Morozov, Artem Babenko |
| 2019 | ICML | Learning to Route in Similarity Graphs. | Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko |
| 2018 | ECCV | Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. | Dmitry Baranchuk, Artem Babenko, Yury Malkov |
| 2017 | CVPR | Product Split Trees. | Artem Babenko, Victor S. Lempitsky |
| 2017 | ICCV | AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. | Artem Babenko, Victor S. Lempitsky |
| 2016 | CVPR | Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. | Artem Babenko, Victor S. Lempitsky |
| 2015 | CVPR | Tree quantization for large-scale similarity search and classification. | Artem Babenko, Victor S. Lempitsky |
| 2015 | ICCV | Aggregating Local Deep Features for Image Retrieval. | Artem Babenko, Victor S. Lempitsky |
| 2014 | CVPR | Additive Quantization for Extreme Vector Compression. | Artem Babenko, Victor S. Lempitsky |
| 2014 | ECCV | Neural Codes for Image Retrieval. | Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky |
| 2012 | CVPR | The inverted multi-index. | Artem Babenko, Victor S. Lempitsky |