Valentin Khrulkov
14 papers · 2018–2023 · 7 conferences · across top CS/AI conferences
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CVPR (4)
ICLR (4)
ICML (2)
EMNLP (1)
ICCV (1)
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NIPS (1)
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Keywords
generative adversarial network
(3)
image classification
(2)
tensor decomposition
(2)
metric learning
(2)
vision transformer
(1)
few-shot learning
(1)
representation learning
(1)
generative model
(1)
human perception
(1)
image retrieval
(1)
geometric analysis
(1)
data augmentation
(1)
convergence analysis
(1)
deep learning
(1)
parameter efficient
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natural language processing
(1)
automatic differentiation
(1)
eigenvalue analysis
(1)
feature extraction
(1)
model compression
(1)
Papers
Understanding DDPM Latent Codes Through Optimal Transport
ICLR 2023
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
CVPR 2022
Label-Efficient Semantic Segmentation with Diffusion Models
ICLR 2022
Latent Transformations via NeuralODEs for GAN-Based Image Editing
ICCV 2021
Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation
CVPR 2021
Functional Space Analysis of Local GAN Convergence
ICML 2021
Revisiting Deep Learning Models for Tabular Data
NIPS 2021
Tensor Train Decomposition on TensorFlow (T3F)
JMLR 2020
Hyperbolic Image Embeddings
CVPR 2020
Tensorized Embedding Layers
EMNLP 2020
Generalized Tensor Models for Recurrent Neural Networks
ICLR 2019
Geometry Score: A Method For Comparing Generative Adversarial Networks
ICML 2018
Expressive power of recurrent neural networks
ICLR 2018
Art of Singular Vectors and Universal Adversarial Perturbations
CVPR 2018