Image de couverture de livre

Cumulative-Goodness Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Yousefiramandi, Amirhossein
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Patent Language Model Pretraining with ModernBERT
par: Yousefiramandi, Amirhossein, et autres
Publié: (2025)

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

Selectivity and Shape in the Design of Forward-Forward Goodness Functions
par: Akkus, Talha Ruzgar, et autres
Publié: (2026)

Hyperspherical Forward-Forward with Prototypical Representations
par: Sarode, Shalini, et autres
Publié: (2026)

Novel Saliency Analysis for the Forward Forward Algorithm
par: Bakhshi, Mitra
Publié: (2024)

Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
par: Gong, James, et autres
Publié: (2025)

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

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

Forward-Forward Learning achieves Highly Selective Latent Representations for Out-of-Distribution Detection in Fully Spiking Neural Networks
par: Terres-Escudero, Erik B., et autres
Publié: (2024)

Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms
par: Hwang, Taewook, et autres
Publié: (2024)

Moonwalk: Inverse-Forward Differentiation
par: Krylov, Dmitrii, et autres
Publié: (2024)

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

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

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches
par: Yousefiramandi, Amirhossein, et autres
Publié: (2025)

FLOPS: Forward Learning with OPtimal Sampling
par: Ren, Tao, et autres
Publié: (2024)

Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
par: As-Saquib, Nazmus Saadat, et autres
Publié: (2025)

Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
par: Kim, Youngsung
Publié: (2026)

Integrating Inverse and Forward Modeling for Sparse Temporal Data from Sensor Networks
par: Vexler, Julian, et autres
Publié: (2025)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
par: Zhao, Gongpei, et autres
Publié: (2024)

Enhancing Fast Feed Forward Networks with Load Balancing and a Master Leaf Node
par: Charalampopoulos, Andreas, et autres
Publié: (2024)

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
par: Papachristodoulou, Andreas, et autres
Publié: (2023)

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

Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
par: Flügel, Katharina, et autres
Publié: (2024)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion
par: Seo, Hyunjin, et autres
Publié: (2025)

Using Forwards-Backwards Models to Approximate MDP Homomorphisms
par: Mavor-Parker, Augustine N., et autres
Publié: (2022)

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

Fast Forward: Accelerating LLM Prefill with Predictive FFN Sparsity
par: Gautam, Aayush, et autres
Publié: (2026)

FwdLLM: Efficient FedLLM using Forward Gradient
par: Xu, Mengwei, et autres
Publié: (2023)

On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
par: Sun, Haoyuan, et autres
Publié: (2025)

A Neural Network Architecture Based on Attention Gate Mechanism for 3D Magnetotelluric Forward Modeling
par: Zhong, Xin, et autres
Publié: (2025)

Flash Multi-Head Feed-Forward Network
par: Zhang, Minshen, et autres
Publié: (2025)

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
par: Yao, Yihang, et autres
Publié: (2026)

A Decomposable Forward Process in Diffusion Models for Time-Series Forecasting
par: Caldas, Francisco, et autres
Publié: (2026)

Forward versus Backward: Comparing Reasoning Objectives in Direct Preference Optimization
par: Nikzad, Murtaza, et autres
Publié: (2026)

Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward
par: Liu, Zikang, et autres
Publié: (2025)

FLEX: Continuous Agent Evolution via Forward Learning from Experience
par: Cai, Zhicheng, et autres
Publié: (2025)

Thinking Forward and Backward: Effective Backward Planning with Large Language Models
par: Ren, Allen Z., et autres
Publié: (2024)

Breaking the Conventional Forward-Backward Tie in Neural Networks: Activation Functions
par: Troiano, Luigi, et autres
Publié: (2025)

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
par: Azad, Seyed Mahdi B., et autres
Publié: (2026)

Rethinking Forward Processes for Score-Based Nonlinear Data Assimilation in High Dimensions
par: Yoon, Eunbi, et autres
Publié: (2026)