Edouard YVINEC
7 papers · 2021–2024 · 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
model compression
(6)
neural network quantization
(3)
structured pruning
(2)
deep neural network
(2)
neural network pruning
(1)
computer vision
(1)
batch normalization
(1)
data-free learning
(1)
deep learning
(1)
neural network optimization
(1)
automorphism search
(1)
inference efficiency
(1)
filter pruning
(1)
edge deployment
(1)
inference acceleration
(1)
memory footprint
(1)
integrated gradient
(1)
neural network compression
(1)
channel pruning
(1)
batch-normalization layer
(1)
Papers
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
ICLR 2024
PowerQuant: Automorphism Search for Non-Uniform Quantization
ICLR 2023
REx: Data-Free Residual Quantization Error Expansion
NeurIPS 2023
SPIQ: Data-Free Per-Channel Static Input Quantization
WACV 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NeurIPS 2022
To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding
IJCAI 2022
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
NeurIPS 2021