Copertina

Advancing Neural Network Performance through Emergence-Promoting Initialization Scheme

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Johnny Jingze, George, Vivek Kurien, Silva, Gabriel A.
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

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
di: Maleki, Alireza, et al.
Pubblicazione: (2024)

Enhancing Deep Neural Network Training Efficiency and Performance through Linear Prediction
di: Ying, Hejie, et al.
Pubblicazione: (2023)

Nested Annealed Training Scheme for Generative Adversarial Networks
di: Wan, Chang, et al.
Pubblicazione: (2025)

Stability-Informed Initialization of Neural Ordinary Differential Equations
di: Westny, Theodor, et al.
Pubblicazione: (2023)

Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification
di: Arya, Shivvrat, et al.
Pubblicazione: (2024)

From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
di: Saratchandran, Hemanth, et al.
Pubblicazione: (2024)

GreenFactory: Ensembling Zero-Cost Proxies to Estimate Performance of Neural Networks
di: Cortês, Gabriel, et al.
Pubblicazione: (2025)

Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques
di: Vusirikala, Srivishnu, et al.
Pubblicazione: (2024)

Improving Learning of New Diseases through Knowledge-Enhanced Initialization for Federated Adapter Tuning
di: Peng, Danni, et al.
Pubblicazione: (2025)

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

PaniCar: Securing the Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting
di: Feldman, Elad, et al.
Pubblicazione: (2025)

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT
di: Hanouneh, Mahmoud, et al.
Pubblicazione: (2026)

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

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
di: Palit, Sanchar, et al.
Pubblicazione: (2024)

Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
di: Taparia, Aditya, et al.
Pubblicazione: (2024)

Improved Regularization and Robustness for Fine-tuning in Neural Networks
di: Li, Dongyue, et al.
Pubblicazione: (2021)

Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data
di: Huang, Jinghan, et al.
Pubblicazione: (2024)

Graph Neural Networks for Surgical Scene Segmentation
di: Li, Yihan, et al.
Pubblicazione: (2025)

Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design
di: Ji, Yingrui, et al.
Pubblicazione: (2024)

Neural Network Diffusion
di: Wang, Kai, et al.
Pubblicazione: (2024)

Adversarial Examples Detection with Bayesian Neural Network
di: Li, Yao, et al.
Pubblicazione: (2021)

S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
di: S, Neha A, et al.
Pubblicazione: (2024)

ReActXGB: A Hybrid Binary Convolutional Neural Network Architecture for Improved Performance and Computational Efficiency
di: Chu, Po-Hsun, et al.
Pubblicazione: (2024)

Impact of Data Breadth and Depth on Performance of Siamese Neural Network Model: Experiments with Three Keystroke Dynamic Datasets
di: Wahab, Ahmed Anu, et al.
Pubblicazione: (2025)

ES-Parkour: Advanced Robot Parkour with Bio-inspired Event Camera and Spiking Neural Network
di: Zhang, Qiang, et al.
Pubblicazione: (2025)

Pruning at Initialization -- A Sketching Perspective
di: Bar, Noga, et al.
Pubblicazione: (2023)

Feature Map Similarity Reduction in Convolutional Neural Networks
di: Belmekki, Zakariae, et al.
Pubblicazione: (2024)

Fast Learning of Non-Cooperative Spacecraft 3D Models through Primitive Initialization
di: Huc, Pol Francesch, et al.
Pubblicazione: (2025)

Geometry-Informed Neural Networks
di: Berzins, Arturs, et al.
Pubblicazione: (2024)

On the Efficiency of Convolutional Neural Networks
di: Lavin, Andrew
Pubblicazione: (2024)

Hyperbolic Binary Neural Network
di: Chen, Jun, et al.
Pubblicazione: (2025)

Pseudo-Invertible Neural Networks
di: Ehrlich, Yamit, et al.
Pubblicazione: (2026)

Diffeomorphism-Equivariant Neural Networks
di: Oettinger, Josephine Elisabeth, et al.
Pubblicazione: (2026)

Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation
di: Soufleri, Efstathia, et al.
Pubblicazione: (2024)

Towards Robust Neural Networks via Orthogonal Diversity
di: Fang, Kun, et al.
Pubblicazione: (2020)

Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting
di: Avogaro, Andrea, et al.
Pubblicazione: (2024)

Incremental Online Learning of Randomized Neural Network with Forward Regularization
di: Wang, Junda, et al.
Pubblicazione: (2024)

Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks
di: Garg, Tanmay, et al.
Pubblicazione: (2024)

Neural Additive Image Model: Interpretation through Interpolation
di: Reuter, Arik, et al.
Pubblicazione: (2024)

Advancing Super-Resolution in Neural Radiance Fields via Variational Diffusion Strategies
di: Vishen, Shrey, et al.
Pubblicazione: (2024)