Image de couverture de livre

A probabilistic framework for dynamic quantization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Santini, Gabriele, Paissan, Francesco, Farella, Elisabetta
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PaSTe: Improving the Efficiency of Visual Anomaly Detection at the Edge
par: Barusco, Manuel, et autres
Publié: (2024)

tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models
par: Paissan, Francesco, et autres
Publié: (2023)

Latent Distillation for Continual Object Detection at the Edge
par: Pasti, Francesco, et autres
Publié: (2024)

Grad Queue : A probabilistic framework to reinforce sparse gradients
par: Hasib, Irfan Mohammad Al
Publié: (2024)

From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
par: Barusco, Manuel, et autres
Publié: (2025)

Replay Consolidation with Label Propagation for Continual Object Detection
par: De Monte, Riccardo, et autres
Publié: (2024)

Explicit modelling of subject dependency in BCI decoding
par: Romani, Michele, et autres
Publié: (2025)

Diffusion models for multivariate subsurface generation and efficient probabilistic inversion
par: Miele, Roberto, et autres
Publié: (2025)

Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data
par: Razzano, Francesca, et autres
Publié: (2024)

SpinQuant: LLM quantization with learned rotations
par: Liu, Zechun, et autres
Publié: (2024)

Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
par: Santini, Francesco, et autres
Publié: (2023)

A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
par: Liu, Yixuan, et autres
Publié: (2026)

Structured Output Regularization: a framework for few-shot transfer learning
par: Ewen, Nicolas, et autres
Publié: (2025)

PnP-Flow: Plug-and-Play Image Restoration with Flow Matching
par: Martin, Ségolène, et autres
Publié: (2024)

An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
par: Bilson, Samuel, et autres
Publié: (2025)

HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images
par: Choi, Sungik, et autres
Publié: (2024)

Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
par: Ziai, Amir, et autres
Publié: (2024)

Towards a multimodal framework for remote sensing image change retrieval and captioning
par: Ferrod, Roger, et autres
Publié: (2024)

DDIM sampling for Generative AIBIM, a faster intelligent structural design framework
par: He, Zhili, et autres
Publié: (2024)

A Contrastive Learning-Guided Confident Meta-learning for Zero Shot Anomaly Detection
par: Aqeel, Muhammad, et autres
Publié: (2025)

A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology
par: Ahmad, Ibtihaj, et autres
Publié: (2023)

Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
par: Amadei, Tristan, et autres
Publié: (2025)

Controllable Image Synthesis of Industrial Data Using Stable Diffusion
par: Valvano, Gabriele, et autres
Publié: (2024)

Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
par: Janny, Steeven, et autres
Publié: (2025)

A 1Mb mixed-precision quantized encoder for image classification and patch-based compression
par: Nguyen, Van Thien, et autres
Publié: (2025)

AGSPNet: A framework for parcel-scale crop fine-grained semantic change detection from UAV high-resolution imagery with agricultural geographic scene constraints
par: Li, Shaochun, et autres
Publié: (2024)

Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation
par: Van Assel, Hugues, et autres
Publié: (2026)

Diffusion-Based Data Augmentation for Medical Image Segmentation
par: Nazir, Maham, et autres
Publié: (2025)

Out-of-Distribution Detection with Relative Angles
par: Demirel, Berker, et autres
Publié: (2024)

Elastic Spiking Transformers for Efficient Gesture Understanding
par: Ancilotto, Alberto, et autres
Publié: (2026)

A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis
par: Scardace, Antonio, et autres
Publié: (2025)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
par: Pro, Francesco, et autres
Publié: (2024)

Posterior sampling via Langevin dynamics based on generative priors
par: Purohit, Vishal, et autres
Publié: (2024)

An Explainable Fast Deep Neural Network for Emotion Recognition
par: Di Luzio, Francesco, et autres
Publié: (2024)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
par: Croce, Francesco, et autres
Publié: (2023)

Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
par: Capogrosso, Luigi, et autres
Publié: (2024)

Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning
par: Aqeel, Muhammad, et autres
Publié: (2025)

Robust Anomaly Detection in Industrial Environments via Meta-Learning
par: Aqeel, Muhammad, et autres
Publié: (2025)

Meta Learning-Driven Iterative Refinement for Robust Anomaly Detection in Industrial Inspection
par: Aqeel, Muhammad, et autres
Publié: (2025)

FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens
par: Schlarmann, Christian, et autres
Publié: (2025)