Kevin Bailly
9 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
Jump to papers ↓
🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Research topics
Keywords
model compression
(6)
neural network quantization
(3)
structured pruning
(2)
deep neural network
(2)
landmark detection
(1)
batch normalization
(1)
computer vision
(1)
neural network optimization
(1)
neural network pruning
(1)
face alignment
(1)
deep learning
(1)
video analysis
(1)
edge deployment
(1)
inference efficiency
(1)
filter pruning
(1)
data-free learning
(1)
inference acceleration
(1)
memory footprint
(1)
integrated gradient
(1)
model quantization
(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
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
ICCV 2019
Pairwise Conditional Random Forests for Facial Expression Recognition
ICCV 2015