Activation Map Compression through Tensor Decomposition for Deep Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Le-Trung, Quélennec, Aël, Tartaglione, Enzo, Tardieu, Samuel, Nguyen, Van-Tam |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
by: Nguyen, Le-Trung, et al.
Published: (2025)
by: Nguyen, Le-Trung, et al.
Published: (2025)
Memory-Optimized Once-For-All Network
by: Girard, Maxime, et al.
Published: (2024)
by: Girard, Maxime, et al.
Published: (2024)
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers
by: Liao, Zhu, et al.
Published: (2024)
by: Liao, Zhu, et al.
Published: (2024)
Memory Constrained Dynamic Subnetwork Update for Transfer Learning
by: Quélennec, Aël, et al.
Published: (2025)
by: Quélennec, Aël, et al.
Published: (2025)
Study of Training Dynamics for Memory-Constrained Fine-Tuning
by: Quélennec, Aël, et al.
Published: (2025)
by: Quélennec, Aël, et al.
Published: (2025)
Debiasing surgeon: fantastic weights and how to find them
by: Nahon, Rémi, et al.
Published: (2024)
by: Nahon, Rémi, et al.
Published: (2024)
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications
by: Olivi, Leonardo, et al.
Published: (2025)
by: Olivi, Leonardo, et al.
Published: (2025)
Efficient Resource-Constrained Training of Transformers via Subspace Optimization
by: Nguyen, Le-Trung, et al.
Published: (2025)
by: Nguyen, Le-Trung, et al.
Published: (2025)
Unsupervised Learning of Unbiased Visual Representations
by: Barbano, Carlo Alberto, et al.
Published: (2022)
by: Barbano, Carlo Alberto, et al.
Published: (2022)
Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments
by: Nguyen, Hieu, et al.
Published: (2024)
by: Nguyen, Hieu, et al.
Published: (2024)
Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
by: Kalle, Alper, et al.
Published: (2025)
by: Kalle, Alper, et al.
Published: (2025)
Nix and Fix: Targeting 1000x Compression of 3D Gaussian Splatting with Diffusion Models
by: Eteke, Cem, et al.
Published: (2026)
by: Eteke, Cem, et al.
Published: (2026)
Retrospective Feature Estimation for Continual Learning
by: Nguyen, Nghia D., et al.
Published: (2024)
by: Nguyen, Nghia D., et al.
Published: (2024)
GABIC: Graph-based Attention Block for Image Compression
by: Spadaro, Gabriele, et al.
Published: (2024)
by: Spadaro, Gabriele, et al.
Published: (2024)
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
by: Nguyen, Tuan, et al.
Published: (2024)
by: Nguyen, Tuan, et al.
Published: (2024)
How I Met Your Bias: Investigating Bias Amplification in Diffusion Models
by: Roos, Nathan, et al.
Published: (2025)
by: Roos, Nathan, et al.
Published: (2025)
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
by: Pham, Cuong, et al.
Published: (2024)
by: Pham, Cuong, et al.
Published: (2024)
Weighted Ensemble Models Are Strong Continual Learners
by: Marouf, Imad Eddine, et al.
Published: (2023)
by: Marouf, Imad Eddine, et al.
Published: (2023)
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
by: Spadaro, Gabriele, et al.
Published: (2025)
by: Spadaro, Gabriele, et al.
Published: (2025)
Diverse Image Priors for Black-box Data-free Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)
by: Vo, Tri-Nhan, et al.
Published: (2026)
Sliced Wasserstein with Random-Path Projecting Directions
by: Nguyen, Khai, et al.
Published: (2024)
by: Nguyen, Khai, et al.
Published: (2024)
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
by: Nguyen, Khoi Anh, et al.
Published: (2025)
by: Nguyen, Khoi Anh, et al.
Published: (2025)
Enhancing Domain Adaptation through Prompt Gradient Alignment
by: Phan, Hoang, et al.
Published: (2024)
by: Phan, Hoang, et al.
Published: (2024)
Adaptive Parametric Activation: Unifying and Generalising Activation Functions Across Tasks
by: Alexandridis, Konstantinos Panagiotis, et al.
Published: (2024)
by: Alexandridis, Konstantinos Panagiotis, et al.
Published: (2024)
Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning
by: Ali, Muhammad Salman, et al.
Published: (2024)
by: Ali, Muhammad Salman, et al.
Published: (2024)
S-Chain: Structured Visual Chain-of-Thought For Medicine
by: Le-Duc, Khai, et al.
Published: (2025)
by: Le-Duc, Khai, et al.
Published: (2025)
Bias In, Bias Out? Finding Unbiased Subnetworks in Vanilla Models
by: Matos, Ivan Luiz De Moura, et al.
Published: (2026)
by: Matos, Ivan Luiz De Moura, et al.
Published: (2026)
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
by: Dang, Trung Dinh Quoc, et al.
Published: (2024)
by: Dang, Trung Dinh Quoc, et al.
Published: (2024)
Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
by: Nguyen, Thanh Tam, et al.
Published: (2024)
by: Nguyen, Thanh Tam, et al.
Published: (2024)
Unlocking Compositional Generalization in Continual Few-Shot Learning
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)
by: Nguyen-Lam, Phu-Quy, et al.
Published: (2026)
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
by: Tran, Quyen, et al.
Published: (2022)
by: Tran, Quyen, et al.
Published: (2022)
STanH : Parametric Quantization for Variable Rate Learned Image Compression
by: Presta, Alberto, et al.
Published: (2024)
by: Presta, Alberto, et al.
Published: (2024)
Point Cloud Compression with Bits-back Coding
by: Hieu, Nguyen Quang, et al.
Published: (2024)
by: Hieu, Nguyen Quang, et al.
Published: (2024)
Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)
by: Le, Minh, et al.
Published: (2025)
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
by: Nguyen, Duy M. H., et al.
Published: (2026)
by: Nguyen, Duy M. H., et al.
Published: (2026)
IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
by: Nguyen, Dang Nha, et al.
Published: (2025)
by: Nguyen, Dang Nha, et al.
Published: (2025)
Fast Learnings of Coupled Nonnegative Tensor Decomposition Using Optimal Gradient and Low-rank Approximation
by: Wang, Xiulin, et al.
Published: (2023)
by: Wang, Xiulin, et al.
Published: (2023)
Tensor Decomposition Based Attention Module for Spiking Neural Networks
by: Deng, Haoyu, et al.
Published: (2023)
by: Deng, Haoyu, et al.
Published: (2023)
LAKD-Activation Mapping Distillation Based on Local Learning
by: Zhang, Yaoze, et al.
Published: (2024)
by: Zhang, Yaoze, et al.
Published: (2024)
MGPATH: Vision-Language Model with Multi-Granular Prompt Learning for Few-Shot WSI Classification
by: Nguyen, Anh-Tien, et al.
Published: (2025)
by: Nguyen, Anh-Tien, et al.
Published: (2025)
Similar Items
-
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
by: Nguyen, Le-Trung, et al.
Published: (2025) -
Memory-Optimized Once-For-All Network
by: Girard, Maxime, et al.
Published: (2024) -
Till the Layers Collapse: Compressing a Deep Neural Network through the Lenses of Batch Normalization Layers
by: Liao, Zhu, et al.
Published: (2024) -
Memory Constrained Dynamic Subnetwork Update for Transfer Learning
by: Quélennec, Aël, et al.
Published: (2025) -
Study of Training Dynamics for Memory-Constrained Fine-Tuning
by: Quélennec, Aël, et al.
Published: (2025)