Victor Quétu
4 papers · 2024–2025 · 2 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
(14)
❓
The Questioner
Top co-authors
Research topics
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)
multimodal 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
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
LaCoOT: Layer Collapse through Optimal Transport
ICCV 2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers.
AAAI 2025
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
AAAI 2024