When Does Pruning Benefit Vision Representations?
Fuente:
arXiv
Saved in:
| Main Authors: | Cassano, Enrico, Renzulli, Riccardo, Bragagnolo, Andrea, Grangetto, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
by: Cassano, Enrico, et al.
Published: (2025)
by: Cassano, Enrico, et al.
Published: (2025)
Capsule Networks Do Not Need to Model Everything
by: Renzulli, Riccardo, et al.
Published: (2022)
by: Renzulli, Riccardo, et al.
Published: (2022)
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
by: Di Sario, Francesco, et al.
Published: (2024)
by: Di Sario, Francesco, et al.
Published: (2024)
GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression
by: Di Sario, Francesco, et al.
Published: (2025)
by: Di Sario, Francesco, et al.
Published: (2025)
When Does Perceptual Alignment Benefit Vision Representations?
by: Sundaram, Shobhita, et al.
Published: (2024)
by: Sundaram, Shobhita, et al.
Published: (2024)
Hierarchical Object-Centric Learning with Capsule Networks
by: Renzulli, Riccardo
Published: (2024)
by: Renzulli, Riccardo
Published: (2024)
Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data
by: Duarte, Adson, et al.
Published: (2026)
by: Duarte, Adson, et al.
Published: (2026)
Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation
by: Chiesa, Giorgio, et al.
Published: (2026)
by: Chiesa, Giorgio, et al.
Published: (2026)
Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models
by: Patrício, Cristiano, et al.
Published: (2024)
by: Patrício, Cristiano, et al.
Published: (2024)
MedSAE: Dissecting MedCLIP Representations with Sparse Autoencoders
by: Renzulli, Riccardo, et al.
Published: (2025)
by: Renzulli, Riccardo, et al.
Published: (2025)
AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation
by: Barbano, Carlo Alberto, et al.
Published: (2024)
by: Barbano, Carlo Alberto, et al.
Published: (2024)
Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation
by: Cannito, Michele, et al.
Published: (2026)
by: Cannito, Michele, et al.
Published: (2026)
Unsupervised Learning of Unbiased Visual Representations
by: Barbano, Carlo Alberto, et al.
Published: (2022)
by: Barbano, Carlo Alberto, et al.
Published: (2022)
Pruning by Block Benefit: Exploring the Properties of Vision Transformer Blocks during Domain Adaptation
by: Glandorf, Patrick, et al.
Published: (2025)
by: Glandorf, Patrick, et al.
Published: (2025)
Spherical Voronoi: Directional Appearance as a Differentiable Partition of the Sphere
by: Di Sario, Francesco, et al.
Published: (2025)
by: Di Sario, Francesco, et al.
Published: (2025)
WiGNet: Windowed Vision Graph Neural Network
by: Spadaro, Gabriele, et al.
Published: (2024)
by: Spadaro, Gabriele, et al.
Published: (2024)
STanH : Parametric Quantization for Variable Rate Learned Image Compression
by: Presta, Alberto, et al.
Published: (2024)
by: Presta, Alberto, et al.
Published: (2024)
Efficient Progressive Image Compression with Variance-aware Masking
by: Presta, Alberto, et al.
Published: (2024)
by: Presta, Alberto, et al.
Published: (2024)
AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data
by: Zaffaroni, Mirko, et al.
Published: (2024)
by: Zaffaroni, Mirko, et al.
Published: (2024)
SkelSplat: Robust Multi-view 3D Human Pose Estimation with Differentiable Gaussian Rendering
by: Bragagnolo, Laura, et al.
Published: (2025)
by: Bragagnolo, Laura, et al.
Published: (2025)
When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains
by: Jeddi, Ahmadreza, et al.
Published: (2026)
by: Jeddi, Ahmadreza, et al.
Published: (2026)
Comb, Prune, Distill: Towards Unified Pruning for Vision Model Compression
by: Schmitt, Jonas, et al.
Published: (2024)
by: Schmitt, Jonas, et al.
Published: (2024)
Similarity of Processing Steps in Vision Model Representations
by: Mahaut, Matéo, et al.
Published: (2026)
by: Mahaut, Matéo, et al.
Published: (2026)
Does VLM Classification Benefit from LLM Description Semantics?
by: Ma, Pingchuan, et al.
Published: (2024)
by: Ma, Pingchuan, et al.
Published: (2024)
HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models
by: Liu, Jizhihui, et al.
Published: (2025)
by: Liu, Jizhihui, et al.
Published: (2025)
IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning
by: Sun, Zhichao, et al.
Published: (2026)
by: Sun, Zhichao, et al.
Published: (2026)
Frequency Is What You Need: Considering Word Frequency When Text Masking Benefits Vision-Language Model Pre-training
by: Liang, Mingliang, et al.
Published: (2024)
by: Liang, Mingliang, et al.
Published: (2024)
Leveraging Multi-View Weak Supervision for Occlusion-Aware Multi-Human Parsing
by: Bragagnolo, Laura, et al.
Published: (2025)
by: Bragagnolo, Laura, et al.
Published: (2025)
Does Synthetic Layered Design Data Benefit Layered Design Decomposition?
by: Wu, Kam Man, et al.
Published: (2026)
by: Wu, Kam Man, et al.
Published: (2026)
Adaptive MLP Pruning for Large Vision Transformers
by: Shen, Chengchao
Published: (2026)
by: Shen, Chengchao
Published: (2026)
Does Visual Token Pruning Improve Calibration? An Empirical Study on Confidence in MLLMs
by: Tan, Kaizhen
Published: (2026)
by: Tan, Kaizhen
Published: (2026)
Attention Debiasing for Token Pruning in Vision Language Models
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
PPT: Token Pruning and Pooling for Efficient Vision Transformers
by: Wu, Xinjian, et al.
Published: (2023)
by: Wu, Xinjian, et al.
Published: (2023)
Collaborative Multi-Mode Pruning for Vision-Language Models
by: Wu, Zimeng, et al.
Published: (2026)
by: Wu, Zimeng, et al.
Published: (2026)
Domain Adaptation for Learned Image Compression with Supervised Adapters
by: Presta, Alberto, et al.
Published: (2024)
by: Presta, Alberto, et al.
Published: (2024)
ZOO-Prune: Training-Free Token Pruning via Zeroth-Order Gradient Estimation in Vision-Language Models
by: Kim, Youngeun, et al.
Published: (2025)
by: Kim, Youngeun, et al.
Published: (2025)
Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
by: Hsieh, Yi-Kuan, et al.
Published: (2025)
by: Hsieh, Yi-Kuan, et al.
Published: (2025)
Multi-view Pose Fusion for Occlusion-Aware 3D Human Pose Estimation
by: Bragagnolo, Laura, et al.
Published: (2024)
by: Bragagnolo, Laura, et al.
Published: (2024)
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning
by: Farina, Matteo, et al.
Published: (2024)
by: Farina, Matteo, et al.
Published: (2024)
Topology-Aware Layer Pruning for Large Vision-Language Models
by: Zheng, Pengcheng, et al.
Published: (2026)
by: Zheng, Pengcheng, et al.
Published: (2026)
Similar Items
-
SAEmnesia: Erasing Concepts in Diffusion Models with Supervised Sparse Autoencoders
by: Cassano, Enrico, et al.
Published: (2025) -
Capsule Networks Do Not Need to Model Everything
by: Renzulli, Riccardo, et al.
Published: (2022) -
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
by: Di Sario, Francesco, et al.
Published: (2024) -
GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression
by: Di Sario, Francesco, et al.
Published: (2025) -
When Does Perceptual Alignment Benefit Vision Representations?
by: Sundaram, Shobhita, et al.
Published: (2024)