Artem Babenko

papers

1,820

total citations

papers (12)

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

NEURIPS 2023arXiv

citations

TabM: Advancing tabular deep learning with parameter-efficient ensembling

ICLR 2025arXiv

citations

Latent Transformations via NeuralODEs for GAN-Based Image Editing

ICCV 2021arXiv

citations

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts

NEURIPS 2023arXiv

citations

Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

NEURIPS 2023arXiv

citations

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

CVPR 2024arXiv

citations

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation

CVPR 2021

citations

Artem Babenko

papers (12)

Revisiting Deep Learning Models for Tabular Data

On Embeddings for Numerical Features in Tabular Deep Learning

Extreme Compression of Large Language Models via Additive Quantization

Navigating the GAN Parameter Space for Semantic Image Editing

TabR: Tabular Deep Learning Meets Nearest Neighbors

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

TabM: Advancing tabular deep learning with parameter-efficient ensembling

Latent Transformations via NeuralODEs for GAN-Based Image Editing

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts

Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation

papers (12)

Revisiting Deep Learning Models for Tabular Data

On Embeddings for Numerical Features in Tabular Deep Learning

Extreme Compression of Large Language Models via Additive Quantization

Navigating the GAN Parameter Space for Semantic Image Editing

TabR: Tabular Deep Learning Meets Nearest Neighbors

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

TabM: Advancing tabular deep learning with parameter-efficient ensembling

Latent Transformations via NeuralODEs for GAN-Based Image Editing

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts

Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation