← Authors

Artem Babenko

35 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (45) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) πŸ’Ž Century Club (35) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (116) ⚑ Prolific Year (7)

Conferences

ICLR (9) NIPS (8) CVPR (7) ICML (6) ICCV (4) ECCV (1)

Top co-authors

Stanislav Morozov (6) Victor Lempitsky (6) Andrey Voynov (6) Dmitry Baranchuk (6) Ivan Rubachev (6) Yury Gorishniy (5) Valentin Khrulkov (5) Denis Kuznedelev (4) Akim Kotelnikov (3) Liudmila Prokhorenkova (3)

Keywords

generative adversarial network (5) latent space (4) nearest neighbor search (4) diffusion model (4) product quantization (3) codebook learning (3) tabular datum (3) gradient boosted decision tree (2) similarity graph (2) graph neural network (2) unsupervised learning (2) node classification (2) text-to-image generation (2) semantic image editing (2) image classification (2) feature embedding (2) graph structure (2) convolutional neural network (2) metric space (2) convergence analysis (1)

Papers

TabM: Advancing tabular deep learning with parameter-efficient ensembling ICLR 2025
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks ICLR 2025
TabR: Tabular Deep Learning Meets Nearest Neighbors ICLR 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps NIPS 2024
Extreme Compression of Large Language Models via Additive Quantization ICML 2024
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models CVPR 2024
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NIPS 2023
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? ICLR 2023
TabDDPM: Modelling Tabular Data with Diffusion Models ICML 2023
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond NIPS 2023
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics NIPS 2023
On Embeddings for Numerical Features in Tabular Deep Learning NIPS 2022
Label-Efficient Semantic Segmentation with Diffusion Models ICLR 2022
When, Why, and Which Pretrained GANs Are Useful? ICLR 2022
Revisiting Deep Learning Models for Tabular Data NIPS 2021
Object Segmentation Without Labels with Large-Scale Generative Models ICML 2021
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation CVPR 2021
Navigating the GAN Parameter Space for Semantic Image Editing CVPR 2021
Latent Transformations via NeuralODEs for GAN-Based Image Editing ICCV 2021
On Self-Supervised Image Representations for GAN Evaluation ICLR 2021
Functional Space Analysis of Local GAN Convergence ICML 2021
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data ICLR 2020
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space ICML 2020
Editable Neural Networks ICLR 2020
Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs NIPS 2019
Learning to Route in Similarity Graphs ICML 2019
Unsupervised Neural Quantization for Compressed-Domain Similarity Search ICCV 2019
Non-metric Similarity Graphs for Maximum Inner Product Search NIPS 2018
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors ECCV 2018
AnnArbor: Approximate Nearest Neighbors Using Arborescence Coding ICCV 2017
Product Split Trees CVPR 2017
Efficient Indexing of Billion-Scale Datasets of Deep Descriptors CVPR 2016
Aggregating Local Deep Features for Image Retrieval ICCV 2015
Tree Quantization for Large-Scale Similarity Search and Classification CVPR 2015
Additive Quantization for Extreme Vector Compression CVPR 2014