Cover Image

Efficient Hyperparameter Importance Assessment for CNNs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruinan, Nabney, Ian, Golbabaee, Mohammad
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
by: Wang, Ruinan, et al.
Published: (2025)

Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
by: Hatefi, Sayed Mohammad Vakilzadeh, et al.
Published: (2024)

Efficient CNNs via Passive Filter Pruning
by: Singh, Arshdeep, et al.
Published: (2023)

Explaning with trees: interpreting CNNs using hierarchies
by: Rodrigues, Caroline Mazini, et al.
Published: (2024)

CNNs Avoid Curse of Dimensionality by Learning on Patches
by: Madala, Vamshi C., et al.
Published: (2022)

Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024)

Federated Learning for Video Violence Detection: Complementary Roles of Lightweight CNNs and Vision-Language Models for Energy-Efficient Use
by: Thuau, Sébastien, et al.
Published: (2025)

Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
by: Mikriukov, Georgii, et al.
Published: (2023)

TraNCE: Transformative Non-linear Concept Explainer for CNNs
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)

Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
by: Nieradzik, Lars, et al.
Published: (2024)

Stacked Ensemble of Fine-Tuned CNNs for Knee Osteoarthritis Severity Grading
by: Gupta, Adarsh, et al.
Published: (2025)

Do Transformers Understand Ancient Roman Coin Motifs Better than CNNs?
by: Reid, David, et al.
Published: (2026)

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)

Generalization of CNNs on Relational Reasoning with Bar Charts
by: Cui, Zhenxing, et al.
Published: (2025)

RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model
by: Alomar, Khaled, et al.
Published: (2024)

VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings
by: Scabini, Leonardo, et al.
Published: (2025)

Analysis of Hyperparameter Optimization Effects on Lightweight Deep Models for Real-Time Image Classification
by: Rakesh, Vineet Kumar, et al.
Published: (2025)

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
by: Burgert, Tom, et al.
Published: (2025)

Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
by: Thuau, Sébastien, et al.
Published: (2025)

A Comparative Study of Custom CNNs, Pre-trained Models, and Transfer Learning Across Multiple Visual Datasets
by: Akhand, Annoor Sharara
Published: (2026)

Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers
by: Lucena, Natanael, et al.
Published: (2025)

Importance-Aware Adaptive Dataset Distillation
by: Li, Guang, et al.
Published: (2024)

Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
by: Lahoti, Aakash, et al.
Published: (2024)

An accuracy-aware extension to LRP-based pruning for CNNs to prevent cascading accuracy degradation in data-scarce transfer learning
by: Yasui, Daisuke, et al.
Published: (2025)

From Ground to Air: Noise Robustness in Vision Transformers and CNNs for Event-Based Vehicle Classification with Potential UAV Applications
by: Almesafri, Nouf, et al.
Published: (2025)

Automatic Quality Assessment of First Trimester Crown-Rump-Length Ultrasound Images
by: Cengiz, Sevim, et al.
Published: (2025)

SRLoRA: Subspace Recomposition in Low-Rank Adaptation via Importance-Based Fusion and Reinitialization
by: Yang, Haodong, et al.
Published: (2025)

Score-Regularized Joint Sampling with Importance Weights for Flow Matching
by: Liu, Xinshuang, et al.
Published: (2025)

PlantDiseaseNet-RT50: A Fine-tuned ResNet50 Architecture for High-Accuracy Plant Disease Detection Beyond Standard CNNs
by: Sagnika, Santwana, et al.
Published: (2025)

Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
by: Sarfraz, Fahad, et al.
Published: (2024)

What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
by: Farid, Karim, et al.
Published: (2025)

KAN-CL: Per-Knot Importance Regularization for Continual Learning with Kolmogorov-Arnold Networks
by: Cheon, Minjong
Published: (2026)

Efficient Noise Mitigation for Enhancing Inference Accuracy in DNNs on Mixed-Signal Accelerators
by: Azizi, Seyedarmin, et al.
Published: (2024)

Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
by: Majlessi, Kian, et al.
Published: (2026)

fpgaHART: A toolflow for throughput-oriented acceleration of 3D CNNs for HAR onto FPGAs
by: Toupas, Petros, et al.
Published: (2023)

From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets
by: Leterme, Hubert, et al.
Published: (2022)

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
by: Wang, Junyao, et al.
Published: (2024)

SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment
by: Naseri, Mahdi, et al.
Published: (2026)

EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training
by: Wang, Yulin, et al.
Published: (2024)

Scale Efficient Training for Large Datasets
by: Zhou, Qing, et al.
Published: (2025)