Copertina

Unified Framework for Pre-trained Neural Network Compression via Decomposition and Optimized Rank Selection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Aghababaei-Harandi, Ali, Amini, Massih-Reza
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Unified Contrastive Loss for Self-Training
di: Gauffre, Aurelien, et al.
Pubblicazione: (2024)

JEPAMatch: Geometric Representation Shaping for Semi-Supervised Learning
di: Aghababaei-Harandi, Ali, et al.
Pubblicazione: (2026)

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
di: Wu, Jing, et al.
Pubblicazione: (2024)

Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
di: Kalle, Alper, et al.
Pubblicazione: (2025)

Epistemic Uncertainty Quantification For Pre-trained Neural Network
di: Wang, Hanjing, et al.
Pubblicazione: (2024)

Curvature Learning for Generalization of Hyperbolic Neural Networks
di: Fan, Xiaomeng, et al.
Pubblicazione: (2025)

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
di: Ding, Yuhe, et al.
Pubblicazione: (2024)

TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models
di: Taghanaki, Saeid Asgari, et al.
Pubblicazione: (2023)

UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models
di: Wang, Yimu, et al.
Pubblicazione: (2025)

Stylized Structural Patterns for Improved Neural Network Pre-training
di: Salehi, Farnood, et al.
Pubblicazione: (2025)

Hidden Monotonicity: Explaining Deep Neural Networks via their DC Decomposition
di: Zimmermann, Jakob Paul, et al.
Pubblicazione: (2026)

Shapley Pruning for Neural Network Compression
di: Adamczewski, Kamil, et al.
Pubblicazione: (2024)

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
di: Xiao, Jinqi, et al.
Pubblicazione: (2023)

Revealing the Utilized Rank of Subspaces of Learning in Neural Networks
di: Garg, Isha, et al.
Pubblicazione: (2024)

Tensor Decomposition Based Attention Module for Spiking Neural Networks
di: Deng, Haoyu, et al.
Pubblicazione: (2023)

Convolutional Neural Network Compression Based on Low-Rank Decomposition
di: He, Yaping, et al.
Pubblicazione: (2024)

Split Adaptation for Pre-trained Vision Transformers
di: Wang, Lixu, et al.
Pubblicazione: (2025)

Feature Unlearning for Pre-trained GANs and VAEs
di: Moon, Saemi, et al.
Pubblicazione: (2023)

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles
di: Peng, Shuman, et al.
Pubblicazione: (2024)

Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
di: El-Shimy, Heba, et al.
Pubblicazione: (2025)

Activation Map Compression through Tensor Decomposition for Deep Learning
di: Nguyen, Le-Trung, et al.
Pubblicazione: (2024)

Learning from Noisy Labels with Contrastive Co-Transformer
di: Han, Yan, et al.
Pubblicazione: (2025)

MLoRQ: Bridging Low-Rank and Quantization for Transformer Compression
di: Gordon, Ofir, et al.
Pubblicazione: (2025)

SugarcaneNet: An Optimized Ensemble of LASSO-Regularized Pre-trained Models for Accurate Disease Classification
di: Talukder, Md. Simul Hasan, et al.
Pubblicazione: (2024)

Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification
di: Duarte, Rafael Mendonça, et al.
Pubblicazione: (2026)

Multimodal Autoregressive Pre-training of Large Vision Encoders
di: Fini, Enrico, et al.
Pubblicazione: (2024)

Progressive Local Alignment for Medical Multimodal Pre-training
di: Yan, Huimin, et al.
Pubblicazione: (2025)

MgNet: A Unified Framework of Multigrid and Convolutional Neural Network
di: He, Juncai, et al.
Pubblicazione: (2019)

Optimizing Convolutional Neural Network Architecture
di: Balderas, Luis, et al.
Pubblicazione: (2023)

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
di: Kim, Jinuk, et al.
Pubblicazione: (2024)

A Benchmark Study of Neural Network Compression Methods for Hyperspectral Image Classification
di: Shi, Sai
Pubblicazione: (2026)

FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression
di: Tu, Kuan-Ting, et al.
Pubblicazione: (2025)

Unified Latents (UL): How to train your latents
di: Heek, Jonathan, et al.
Pubblicazione: (2026)

Neural NeRF Compression
di: Pham, Tuan, et al.
Pubblicazione: (2024)

Realistic Continual Learning Approach using Pre-trained Models
di: Nasri, Nadia, et al.
Pubblicazione: (2024)

Pre-trained Visual Dynamics Representations for Efficient Policy Learning
di: Luo, Hao, et al.
Pubblicazione: (2024)

Resilient Contrastive Pre-training under Non-Stationary Drift
di: Yang, Xiaoyu, et al.
Pubblicazione: (2025)

Do Pre-trained Models Benefit Equally in Continual Learning?
di: Lee, Kuan-Ying, et al.
Pubblicazione: (2022)

Flashbacks to Harmonize Stability and Plasticity in Continual Learning
di: Mahmoodi, Leila, et al.
Pubblicazione: (2025)

Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training
di: Bawazir, Ameera, et al.
Pubblicazione: (2024)