:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Caraffa, Laurent
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2601.17933
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Thermodynamically Optimal Regularization under Information-Geometric Constraints
by: Caraffa, Laurent
Published: (2026)

BEDS : Bayesian Emergent Dissipative Structures : A Formal Framework for Continuous Inference Under Energy Constraints
by: Caraffa, Laurent
Published: (2026)

RefinedFields: Radiance Fields Refinement for Planar Scene Representations
by: Kassab, Karim, et al.
Published: (2023)

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
by: Schnepf, Antoine, et al.
Published: (2024)

AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
by: Xiang, Mingcan, et al.
Published: (2024)

TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
by: Zhu, Haowei, et al.
Published: (2026)

AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
by: Zhou, Zikai, et al.
Published: (2023)

A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
by: Özbulak, Gökhan, et al.
Published: (2025)

AdaCL:Adaptive Continual Learning
by: Yildirim, Elif Ceren Gok, et al.
Published: (2023)

Diffusion Models With Learned Adaptive Noise
by: Sahoo, Subham Sekhar, et al.
Published: (2023)

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
by: Zhang, Jifan, et al.
Published: (2023)

Foster Adaptivity and Balance in Learning with Noisy Labels
by: Sheng, Mengmeng, et al.
Published: (2024)

Soft Attention: Does it Actually Help to Learn Social Interactions in Pedestrian Trajectory Prediction?
by: Boucaud, Laurent, et al.
Published: (2021)

Adaptive Equilibrium: Dynamic Weighting Framework for Generalized Interruption of DeepFake Models
by: Zheng, Hongrui, et al.
Published: (2026)

Equivariant-Aware Structured Pruning for Efficient Edge Deployment: A Comprehensive Framework with Adaptive Fine-Tuning
by: Alnemari, Mohammed
Published: (2025)

Integrating Present and Past in Unsupervised Continual Learning
by: Zhang, Yipeng, et al.
Published: (2024)

Certainty-Validity: A Diagnostic Framework for Discrete Commitment Systems
by: Anderson, Datorien L.
Published: (2026)

General Transform: A Unified Framework for Adaptive Transform to Enhance Representations
by: Budiutama, Gekko, et al.
Published: (2025)

ADHint: Adaptive Hints with Difficulty Priors for Reinforcement Learning
by: Zhang, Feng, et al.
Published: (2025)

Visual Adaptive Prompting for Compositional Zero-Shot Learning
by: Stein, Kyle, et al.
Published: (2025)

CADS: Conformal Adaptive Decision System for Cost-Efficient Image Classification
by: Mikael, Turkoglu, et al.
Published: (2026)

Golden Noise for Diffusion Models: A Learning Framework
by: Zhou, Zikai, et al.
Published: (2024)

A Principled Framework for Multi-View Contrastive Learning
by: Koromilas, Panagiotis, et al.
Published: (2025)

ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
by: Banerjee, Soumya, et al.
Published: (2025)

HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Heads
by: Xu, Yu, et al.
Published: (2024)

BECAME: BayEsian Continual Learning with Adaptive Model MErging
by: Li, Mei, et al.
Published: (2025)

Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks
by: Yang, Yang, et al.
Published: (2024)

On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025)

Adaptive Retention & Correction: Test-Time Training for Continual Learning
by: Chen, Haoran, et al.
Published: (2024)

Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
by: Hu, Jiacheng, et al.
Published: (2024)

Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning
by: Qi, Zhi-Hong, et al.
Published: (2024)

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning
by: Su, Shangchao, et al.
Published: (2022)

Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
by: Das, Anindya Sundar, et al.
Published: (2024)

AdaMerging: Adaptive Model Merging for Multi-Task Learning
by: Yang, Enneng, et al.
Published: (2023)

Pytorch-Wildlife: A Collaborative Deep Learning Framework for Conservation
by: Hernandez, Andres, et al.
Published: (2024)

On the Federated Learning Framework for Cooperative Perception
by: Zhang, Zhenrong, et al.
Published: (2024)

Multimodal Adaptive Retrieval Augmented Generation through Internal Representation Learning
by: Du, Ruoshuang, et al.
Published: (2026)

GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network
by: Song, Xianfeng, et al.
Published: (2024)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
by: Huang, Linlan, et al.
Published: (2024)

Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
by: Qi, Xiaoming, et al.
Published: (2025)