Edouard YVINEC
7 papers · 2021–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (13)
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Hot Topic Early Bird
Conferences
NIPS (3)
ICLR (2)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
model compression
(5)
neural network quantization
(2)
deep neural network
(2)
structured pruning
(2)
batch normalization
(1)
data-free learning
(1)
neural network optimization
(1)
layer folding
(1)
inference efficiency
(1)
filter pruning
(1)
edge deployment
(1)
inference acceleration
(1)
integrated gradient
(1)
residual error expansion
(1)
channel pruning
(1)
batch-normalization layer
(1)
data-free quantization
(1)
neural network
(1)
static quantization
(1)
deep neural network compression
(1)
Papers
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
ICLR 2024
REx: Data-Free Residual Quantization Error Expansion
NIPS 2023
PowerQuant: Automorphism Search for Non-Uniform Quantization
ICLR 2023
SPIQ: Data-Free Per-Channel Static Input Quantization
WACV 2023
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
NIPS 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
NIPS 2021