Artem Babenko - RankMe

89 papers A* 35Journal 50Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting Autoregressive Models for Generative Image Classification. CoRR Ilia Sudakov, Artem Babenko, Dmitry Baranchuk
2025	J	`jnl`	GraphPFN: A Prior-Data Fitted Graph Foundation Model. CoRR Dmitry Eremeev, Oleg Platonov, Gleb Bazhenov, Artem Babenko, Liudmila Prokhorenkova
2025	J	`jnl`	On Finetuning Tabular Foundation Models. CoRR Ivan Rubachev, Akim Kotelnikov, Nikolay Kartashev, Artem Babenko
2025	J	`jnl`	Scale-wise Distillation of Diffusion Models. CoRR Nikita Starodubcev, Denis Kuznedelev, Artem Babenko, Dmitry Baranchuk
2025	A*	`conf`	TabM: Advancing tabular deep learning with parameter-efficient ensembling. ICLR Yury Gorishniy, Akim Kotelnikov, Artem Babenko
2025	A*	`conf`	TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks. ICLR Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2025	J	`jnl`	Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data. CoRR George Yakushev, Alina Shutova, Ivan Rubachev, Renat Sergazinov, Artem Babenko
2025	J	`jnl`	Turning Tabular Foundation Models into Graph Foundation Models. CoRR Dmitry Eremeev, Gleb Bazhenov, Oleg Platonov, Artem Babenko, Liudmila Prokhorenkova
2025	J	`jnl`	Unveiling the Role of Data Uncertainty in Tabular Deep Learning. CoRR Nikolay Kartashev, Ivan Rubachev, Artem Babenko
2025	—	`conf`	YaART: Yet Another ART Rendering Technology. KDD (1) 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	A*	`conf`	Extreme Compression of Large Language Models via Additive Quantization. ICML Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh
2024	J	`jnl`	Extreme Compression of Large Language Models via Additive Quantization. CoRR Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, Elias Frantar, Artem Babenko, Dan Alistarh
2024	A*	`conf`	Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. NeurIPS Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
2024	J	`jnl`	Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps. CoRR Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
2024	J	`jnl`	QUASAR: QUality and Aesthetics Scoring With Advanced Representations. IEEE Access Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
2024	J	`jnl`	QUASAR: QUality and Aesthetics Scoring with Advanced Representations. CoRR Sergey Kastryulin, Denis Prokopenko, Artem Babenko, Dmitry V. Dylov
2024	J	`jnl`	TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling. CoRR Yury Gorishniy, Akim Kotelnikov, Artem Babenko
2024	A*	`conf`	TabR: Tabular Deep Learning Meets Nearest Neighbors. ICLR Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2024	J	`jnl`	TabReD: A Benchmark of Tabular Machine Learning in-the-Wild. CoRR Ivan Rubachev, Nikolay Kartashev, Yury Gorishniy, Artem Babenko
2024	J	`jnl`	YaART: Yet Another ART Rendering Technology. CoRR 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
2024	A*	`conf`	Your Student is Better than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CVPR Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov, Artem Babenko
2023	A*	`conf`	A critical look at the evaluation of GNNs under heterophily: Are we really making progress? ICLR Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
2023	J	`jnl`	A critical look at the evaluation of GNNs under heterophily: are we really making progress? CoRR Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
2023	A*	`conf`	Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond. NeurIPS Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
2023	A*	`conf`	Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. NeurIPS Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
2023	J	`jnl`	Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts. CoRR Gleb Bazhenov, Denis Kuznedelev, Andrey Malinin, Artem Babenko, Liudmila Prokhorenkova
2023	A*	`conf`	Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics. NeurIPS Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
2023	J	`jnl`	Is This Loss Informative? Speeding Up Textual Inversion with Deterministic Objective Evaluation. CoRR Anton Voronov, Mikhail Khoroshikh, Artem Babenko, Max Ryabinin
2023	A*	`conf`	TabDDPM: Modelling Tabular Data with Diffusion Models. ICML Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2023	J	`jnl`	TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning. CoRR Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
2023	J	`jnl`	Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models. CoRR Nikita Starodubcev, Dmitry Baranchuk, Valentin Khrulkov, Artem Babenko
2023	J	`jnl`	Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models. CoRR Nikita Starodubcev, Artem Fedorov, Artem Babenko, Dmitry Baranchuk
2022	J	`jnl`	Characterizing Graph Datasets for Node Classification: Beyond Homophily-Heterophily Dichotomy. CoRR Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova
2022	A*	`conf`	Label-Efficient Semantic Segmentation with Diffusion Models. ICLR Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2022	A*	`conf`	On Embeddings for Numerical Features in Tabular Deep Learning. NeurIPS Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022	J	`jnl`	On Embeddings for Numerical Features in Tabular Deep Learning. CoRR Yury Gorishniy, Ivan Rubachev, Artem Babenko
2022	J	`jnl`	Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. CoRR 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
2022	J	`jnl`	Revisiting Pretraining Objectives for Tabular Deep Learning. CoRR Ivan Rubachev, Artem Alekberov, Yury Gorishniy, Artem Babenko
2022	J	`jnl`	TabDDPM: Modelling Tabular Data with Diffusion Models. CoRR Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko
2022	A*	`conf`	When, Why, and Which Pretrained GANs Are Useful? ICLR Timofey Grigoryev, Andrey Voynov, Artem Babenko
2022	J	`jnl`	When, Why, and Which Pretrained GANs Are Useful? CoRR Timofey Grigoryev, Andrey Voynov, Artem Babenko
2021	J	`jnl`	Disentangled Representations from Non-Disentangled Models. CoRR Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	J	`jnl`	Distilling the Knowledge from Normalizing Flows. CoRR Dmitry Baranchuk, Vladimir Aliev, Artem Babenko
2021	A*	`conf`	Functional Space Analysis of Local GAN Convergence. ICML Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
2021	J	`jnl`	Functional Space Analysis of Local GAN Convergence. CoRR Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
2021	J	`jnl`	Label-Efficient Semantic Segmentation with Diffusion Models. CoRR Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko
2021	A*	`conf`	Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	J	`jnl`	Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	A*	`conf`	Navigating the GAN Parameter Space for Semantic Image Editing. CVPR Anton Cherepkov, Andrey Voynov, Artem Babenko
2021	A*	`conf`	Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. CVPR Valentin Khrulkov, Artem Babenko
2021	A*	`conf`	Object Segmentation Without Labels with Large-Scale Generative Models. ICML Andrey Voynov, Stanislav Morozov, Artem Babenko
2021	A*	`conf`	On Self-Supervised Image Representations for GAN Evaluation. ICLR Stanislav Morozov, Andrey Voynov, Artem Babenko
2021	—	`conf`	Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search. NeurIPS (Competition and Demos) 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
2021	A*	`conf`	Revisiting Deep Learning Models for Tabular Data. NeurIPS Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2021	J	`jnl`	Revisiting Deep Learning Models for Tabular Data. CoRR Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
2020	J	`jnl`	Big GANs Are Watching You: Towards Unsupervised Object Segmentation with Off-the-Shelf Generative Models. CoRR Andrey Voynov, Stanislav Morozov, Artem Babenko
2020	A*	`conf`	Editable Neural Networks. ICLR Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitry V. Pyrkin, Sergei Popov, Artem Babenko
2020	J	`jnl`	Editable Neural Networks. CoRR Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy V. Pyrkin, Sergei Popov, Artem Babenko
2020	J	`jnl`	Navigating the GAN Parameter Space for Semantic Image Editing. CoRR Anton Cherepkov, Andrey Voynov, Artem Babenko
2020	A*	`conf`	Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. ICLR Sergei Popov, Stanislav Morozov, Artem Babenko
2020	A*	`conf`	Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. ICML Andrey Voynov, Artem Babenko
2020	J	`jnl`	Unsupervised Discovery of Interpretable Directions in the GAN Latent Space. CoRR Andrey Voynov, Artem Babenko
2019	A*	`conf`	Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs. NeurIPS Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
2019	J	`jnl`	Beyond Vector Spaces: Compact Data Representationas Differentiable Weighted Graphs. CoRR Denis Mazur, Vage Egiazarian, Stanislav Morozov, Artem Babenko
2019	A*	`conf`	Learning to Route in Similarity Graphs. ICML Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
2019	J	`jnl`	Learning to Route in Similarity Graphs. CoRR Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin, Artem Babenko
2019	J	`jnl`	Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data. CoRR Sergei Popov, Stanislav Morozov, Artem Babenko
2019	J	`jnl`	RPGAN: GANs Interpretability via Random Routing. CoRR Andrey Voynov, Artem Babenko
2019	J	`jnl`	Relevance Proximity Graphs for Fast Relevance Retrieval. CoRR Stanislav Morozov, Artem Babenko
2019	J	`jnl`	Towards Similarity Graphs Constructed by Deep Reinforcement Learning. CoRR Dmitry Baranchuk, Artem Babenko
2019	A*	`conf`	Unsupervised Neural Quantization for Compressed-Domain Similarity Search. ICCV Stanislav Morozov, Artem Babenko
2019	J	`jnl`	Unsupervised Neural Quantization for Compressed-Domain Similarity Search. CoRR Stanislav Morozov, Artem Babenko
2018	J	`jnl`	Impostor Networks for Fast Fine-Grained Recognition. CoRR Vadim Lebedev, Artem Babenko, Victor S. Lempitsky
2018	A*	`conf`	Non-metric Similarity Graphs for Maximum Inner Product Search. NeurIPS Stanislav Morozov, Artem Babenko
2018	—	`conf`	Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. ECCV (12) Dmitry Baranchuk, Artem Babenko, Yury Malkov
2018	J	`jnl`	Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors. CoRR Dmitry Baranchuk, Artem Babenko, Yury Malkov
2017	A*	`conf`	AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding. ICCV Artem Babenko, Victor S. Lempitsky
2017	A*	`conf`	Product Split Trees. CVPR Artem Babenko, Victor S. Lempitsky
2016	A*	`conf`	Efficient Indexing of Billion-Scale Datasets of Deep Descriptors. CVPR Artem Babenko, Victor S. Lempitsky
2016	J	`jnl`	Pairwise Quantization. CoRR Artem Babenko, Relja Arandjelovic, Victor S. Lempitsky
2015	J	`jnl`	Aggregating Deep Convolutional Features for Image Retrieval. CoRR Artem Babenko, Victor S. Lempitsky
2015	A*	`conf`	Aggregating Local Deep Features for Image Retrieval. ICCV Artem Babenko, Victor S. Lempitsky
2015	J	`jnl`	The Inverted Multi-Index. IEEE Trans. Pattern Anal. Mach. Intell. Artem Babenko, Victor S. Lempitsky
2015	A*	`conf`	Tree quantization for large-scale similarity search and classification. CVPR Artem Babenko, Victor S. Lempitsky
2014	A*	`conf`	Additive Quantization for Extreme Vector Compression. CVPR Artem Babenko, Victor S. Lempitsky
2014	J	`jnl`	Improving Bilayer Product Quantization for Billion-Scale Approximate Nearest Neighbors in High Dimensions. CoRR Artem Babenko, Victor S. Lempitsky
2014	—	`conf`	Neural Codes for Image Retrieval. ECCV (1) Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky
2014	J	`jnl`	Neural Codes for Image Retrieval. CoRR Artem Babenko, Anton Slesarev, Alexander Chigorin, Victor S. Lempitsky
2012	A*	`conf`	The inverted multi-index. CVPR Artem Babenko, Victor S. Lempitsky