Artem Babenko
35 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Academic Marathon (11) π Conference Polyglot (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(45)
π
Triple Crown
π
Keyword Champion
(2)
π
Conference Pioneer
π₯
Unstoppable
(12)
π
Century Club
(35)
β
The Questioner
(3)
ποΈ
Keyword Collector
(116)
β‘
Prolific Year
(7)
Conferences
ICLR (9)
NIPS (8)
CVPR (7)
ICML (6)
ICCV (4)
ECCV (1)
Top co-authors
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