Victor Quétu
4 papers · 2024–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
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The Questioner
Conferences
AAAI (2)
ICCV (2)
Top co-authors
Keywords
model compression
(4)
neural network compression
(3)
neural network
(2)
feature distribution
(1)
batch normalization
(1)
multimodal learning
(1)
network pruning
(1)
neural network optimization
(1)
computational efficiency
(1)
model pruning
(1)
deep neural network
(1)
multi-modal large language model
(1)
sparse training
(1)
inference acceleration
(1)
network depth
(1)
entropy measure
(1)
token compression
(1)
sparse double descent
(1)
visual token reduction
(1)
large language model
(1)
Papers
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
LaCoOT: Layer Collapse through Optimal Transport
ICCV 2025
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
AAAI 2024