Yerlan Idelbayev
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Keyword Collector
(51)
Venues
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Research topics
Deep Learning
(9)
Machine Learning
(7)
Application Areas
(7)
Artificial Intelligence
(5)
Core AI
(5)
Models
(5)
Optimization & Theory · Deep Learning
(5)
Computer Vision
(3)
Generation
(3)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Optimization
(1)
Techniques
(1)
Keywords
diffusion model
(5)
model compression
(5)
knowledge distillation
(3)
text-to-image generation
(2)
neural network quantization
(2)
gan
(2)
image generation
(2)
u-net architecture
(1)
image-to-image translation
(1)
matrix factorization
(1)
image editing
(1)
efficient computing
(1)
neural network pruning
(1)
vector quantization
(1)
rank optimization
(1)
alternating optimization
(1)
matrix approximation
(1)
hyperparameter optimization
(1)
controllable generation
(1)
neural network compression
(1)
Papers
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
CVPR 2025
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model
NeurIPS 2024
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
ICML 2024
Efficient Training with Denoised Neural Weights
ECCV 2024
TextCraftor: Your Text Encoder Can be Image Quality Controller
CVPR 2024
Optimal Quantization Using Scaled Codebook
CVPR 2021
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer
CVPR 2020
Structured Multi-Hashing for Model Compression
CVPR 2020
“Learning-Compression” Algorithms for Neural Net Pruning
CVPR 2018