Artem Babenko

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 Extreme Compression of Large Language Models via Additive Quantization ICML 2024 Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps NeurIPS 2024 TabR: Tabular Deep Learning Meets Nearest Neighbors ICLR 2024 Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models CVPR 2024 A critical look at the evaluation of GNNs under heterophily: Are we really making progress? ICLR 2023 Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond NeurIPS 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics NeurIPS 2023 TabDDPM: Modelling Tabular Data with Diffusion Models ICML 2023 Label-Efficient Semantic Segmentation with Diffusion Models ICLR 2022 On Embeddings for Numerical Features in Tabular Deep Learning NeurIPS 2022 When, Why, and Which Pretrained GANs Are Useful? ICLR 2022 Functional Space Analysis of Local GAN Convergence ICML 2021 Latent Transformations via NeuralODEs for GAN-Based Image Editing ICCV 2021 Navigating the GAN Parameter Space for Semantic Image Editing CVPR 2021 Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation CVPR 2021 Object Segmentation Without Labels with Large-Scale Generative Models ICML 2021 On Self-Supervised Image Representations for GAN Evaluation ICLR 2021 Revisiting Deep Learning Models for Tabular Data NeurIPS 2021 Editable Neural Networks ICLR 2020 Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data ICLR 2020 Unsupervised Discovery of Interpretable Directions in the GAN Latent Space ICML 2020 Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs NeurIPS 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 NeurIPS 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