Enzo Tartaglione
26 papers · 2018–2026 · 8 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.
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🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(22)
Deep Learning
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Application Areas
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Artificial Intelligence
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Core AI
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Optimization & Theory · Deep Learning
(8)
Models
(7)
Architectures
(5)
Optimization & Theory · Machine Learning
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Computer Vision
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Core Methods
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Techniques
(3)
Computer Science
(2)
Keywords
model compression
(9)
network pruning
(3)
neural network compression
(3)
neural network
(3)
representation learning
(2)
entropy coding
(2)
bias mitigation
(2)
generative model
(2)
deep neural network
(2)
memory efficiency
(2)
multimodal learning
(2)
neural network optimization
(2)
diffusion model
(2)
batch normalization
(1)
knowledge distillation
(1)
vision transformer
(1)
medical imaging
(1)
feature distribution
(1)
double descent
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optimal transport
(1)
Papers
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
CVPR 2026
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
WACV 2026
I-INR: Iterative Implicit Neural Representations
AAAI 2026
Ask and Remember: A Questions-Only Replay Strategy for Continual Visual Question Answering
ICCV 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
ICML 2025
Efficient Progressive Image Compression with Variance-Aware Masking
WACV 2025
ELMGS: Enhancing Memory and Computation Scalability through Compression for 3D Gaussian Splatting
WACV 2025
FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance
ICCV 2025
HYGENE: A Diffusion-Based Hypergraph Generation Method
AAAI 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
WiGNet: Windowed Vision Graph Neural Network
WACV 2025
Activation Map Compression through Tensor Decomposition for Deep Learning
NeurIPS 2024
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
ECCV 2024
Debiasing surgeon: fantastic weights and how to find them
ECCV 2024
DSD²: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?
AAAI 2024
Find the Lady: Permutation and Re-synchronization of Deep Neural Networks
AAAI 2024
Mini but Mighty: Finetuning ViTs With Mini Adapters
WACV 2024
Weighted Ensemble Models Are Strong Continual Learners
ECCV 2024
Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small
WACV 2023
Mining bias-target Alignment from Voronoi Cells
ICCV 2023
Packed Ensembles for efficient uncertainty estimation
ICLR 2023
Unbiased Supervised Contrastive Learning
ICLR 2023
To update or not to update? Neurons at equilibrium in deep models
NeurIPS 2022
EnD: Entangling and Disentangling Deep Representations for Bias Correction
CVPR 2021
Learning sparse neural networks via sensitivity-driven regularization
NeurIPS 2018