Image de couverture de livre

NetworkFF: Unified Layer Optimization in Forward-Only Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Beigzad, Salar
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
par: Beigzad, Salar, et autres
Publié: (2026)

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
par: Maleki, Alireza, et autres
Publié: (2024)

Saliency Assisted Quantization for Neural Networks
par: Rezabeyk, Elmira Mousa, et autres
Publié: (2024)

Resource-efficient medical image classification for edge devices
par: Lavaei, Mahsa, et autres
Publié: (2025)

Forward Only Learning for Orthogonal Neural Networks of any Depth
par: Caillon, Paul, et autres
Publié: (2025)

LightFF: Lightweight Inference for Forward-Forward Algorithm
par: Aminifar, Amin, et autres
Publié: (2024)

Optimizing Dense Feed-Forward Neural Networks
par: Balderas, Luis, et autres
Publié: (2023)

Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
par: Pes, Lorenzo, et autres
Publié: (2025)

Approximated Likelihood Ratio: A Forward-Only and Parallel Framework for Boosting Neural Network Training
par: Zhang, Zeliang, et autres
Publié: (2024)

Feed-Forward Optimization With Delayed Feedback for Neural Network Training
par: Flügel, Katharina, et autres
Publié: (2023)

Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
par: Bozic, Vukasin, et autres
Publié: (2023)

Forward Learning of Graph Neural Networks
par: Park, Namyong, et autres
Publié: (2024)

Coherent Feed Forward Quantum Neural Network
par: Singh, Utkarsh, et autres
Publié: (2024)

Half-Layered Neural Networks
par: Alpaydin, Ethem
Publié: (2025)

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
par: Lu, Yiwei, et autres
Publié: (2024)

Forward-Only Continual Learning
par: Chen, Jiao, et autres
Publié: (2025)

Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm
par: Ghader, Mohammadnavid, et autres
Publié: (2025)

Test-Time Model Adaptation with Only Forward Passes
par: Niu, Shuaicheng, et autres
Publié: (2024)

Study on Downlink CSI compression: Are Neural Networks the Only Solution?
par: Praneeth, K. Sai, et autres
Publié: (2025)

Forward Invariance in Neural Network Controlled Systems
par: Harapanahalli, Akash, et autres
Publié: (2023)

Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning
par: Quantiota, Bouarfa Mahi
Publié: (2025)

On the Improvement of Generalization and Stability of Forward-Only Learning via Neural Polarization
par: Terres-Escudero, Erik B., et autres
Publié: (2024)

Personalized Layer Selection for Graph Neural Networks
par: Sharma, Kartik, et autres
Publié: (2025)

Single-Snapshot Gridless 2D-DoA Estimation for UCAs: A Joint Optimization Approach
par: Nouri, Salar
Publié: (2025)

Scalable Data Attribution via Forward-Only Test-Time Inference
par: Ma, Sibo, et autres
Publié: (2025)

Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization
par: Chen, Zonghao, et autres
Publié: (2025)

Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation
par: Ahmadnejad, Amirreza, et autres
Publié: (2024)

YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training
par: Li, Yi, et autres
Publié: (2024)

UnifiedNN: Efficient Neural Network Training on the Cloud
par: Taki, Sifat Ut, et autres
Publié: (2024)

Rethinking Benign Overfitting in Two-Layer Neural Networks
par: Xu, Ruichen, et autres
Publié: (2025)

Variational Inference on the Final-Layer Output of Neural Networks
par: Wei, Yadi, et autres
Publié: (2023)

On Generalization Bounds for Neural Networks with Low Rank Layers
par: Pinto, Andrea, et autres
Publié: (2024)

Concurrent Training and Layer Pruning of Deep Neural Networks
par: Guenter, Valentin Frank Ingmar, et autres
Publié: (2024)

Layer-diverse Negative Sampling for Graph Neural Networks
par: Duan, Wei, et autres
Publié: (2024)

Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction
par: See, Teng Jiek, et autres
Publié: (2025)

Feed-Forward Neural Networks as a Mixed-Integer Program
par: Aftabi, Navid, et autres
Publié: (2024)

Incremental Online Learning of Randomized Neural Network with Forward Regularization
par: Wang, Junda, et autres
Publié: (2024)

NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation
par: Li, Qinyu, et autres
Publié: (2025)

Randomized Neural Network with Adaptive Forward Regularization for Online Task-free Class Incremental Learning
par: Wang, Junda, et autres
Publié: (2025)

A Deep Neural Network Framework for Solving Forward and Inverse Problems in Delay Differential Equations
par: Wang, Housen, et autres
Publié: (2024)