Imagen de Portada

Hebbian Learning with Global Direction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Hua, Wenjia, Zhao, Kejie, Leng, Luziwei, Cheng, Ran, Ma, Yuxin, Guo, Qinghai
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
por: Zhao, Kejie, et al.
Publicado: (2025)

MAR: Efficient Large Language Models via Module-aware Architecture Refinement
por: Cai, Junhong, et al.
Publicado: (2026)

Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications
por: Zhou, Zhou, et al.
Publicado: (2024)

Neuron-centric Hebbian Learning
por: Ferigo, Andrea, et al.
Publicado: (2024)

Learning To Play Atari Games Using Dueling Q-Learning and Hebbian Plasticity
por: Salehin, Md Ashfaq
Publicado: (2024)

Learning Successor Features with Distributed Hebbian Temporal Memory
por: Dzhivelikian, Evgenii, et al.
Publicado: (2023)

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning
por: Zhong, Yan, et al.
Publicado: (2024)

Deep Learning Evidence for Global Optimality of Gerver's Sofa
por: Leng, Kuangdai, et al.
Publicado: (2024)

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
por: Xiao, Mingqing, et al.
Publicado: (2024)

SNAP: Stopping Catastrophic Forgetting in Hebbian Learning with Sigmoidal Neuronal Adaptive Plasticity
por: Xu, Tianyi, et al.
Publicado: (2024)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
por: Liu, Che, et al.
Publicado: (2025)

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
por: Cheng, Jie, et al.
Publicado: (2024)

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
por: Cheng, Jie, et al.
Publicado: (2024)

Large Language Model Compression with Global Rank and Sparsity Optimization
por: Zhou, Changhai, et al.
Publicado: (2025)

Revisiting Reinforcement Learning with Verifiable Rewards from a Contrastive Perspective
por: Zhang, Feng, et al.
Publicado: (2026)

Investigation into In-Context Learning Capabilities of Transformers
por: Chandrupatla, Rushil, et al.
Publicado: (2026)

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion
por: Li, Yanchen, et al.
Publicado: (2024)

CycloneMAE: A Scalable Multi-Task Learning Model for Global Tropical Cyclone Probabilistic Forecasting
por: Hang, Renlong, et al.
Publicado: (2026)

Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
por: Chen, Jinqian, et al.
Publicado: (2024)

VQ4ALL: Efficient Neural Network Representation via a Universal Codebook
por: Deng, Juncan, et al.
Publicado: (2024)

Enabling Robust In-Context Memory and Rapid Task Adaptation in Transformers with Hebbian and Gradient-Based Plasticity
por: Chaudhary, Siddharth
Publicado: (2025)

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
por: Liu, Che, et al.
Publicado: (2024)

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning
por: Zhao, Dandan, et al.
Publicado: (2024)

State Space Models over Directed Graphs
por: She, Junzhi, et al.
Publicado: (2025)

Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
por: Cheng, Ran
Publicado: (2026)

Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
por: Li, Ziming, et al.
Publicado: (2026)

Directed Link Prediction using GNN with Local and Global Feature Fusion
por: Zhang, Yuyang, et al.
Publicado: (2025)

FedEGG: Federated Learning with Explicit Global Guidance
por: Zhai, Kun, et al.
Publicado: (2024)

Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
por: Guan, Saiping, et al.
Publicado: (2024)

Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
por: Ren, Weijieying, et al.
Publicado: (2025)

Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning
por: Bai, Hui, et al.
Publicado: (2024)

LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions
por: Liu, Chenxi, et al.
Publicado: (2025)

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
por: Ma, Jiajun, et al.
Publicado: (2024)

Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning
por: Hua, Chenqing
Publicado: (2024)

A Survey of Cross-domain Graph Learning: Progress and Future Directions
por: Zhao, Haihong, et al.
Publicado: (2025)

Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification
por: Shi, Jiazhao, et al.
Publicado: (2025)

Maintaining Adversarial Robustness in Continuous Learning
por: Ru, Xiaolei, et al.
Publicado: (2024)

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning
por: Ma, Evelyn, et al.
Publicado: (2024)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
por: Zhao, Gongpei, et al.
Publicado: (2024)

On the Nonlinearity of Layer Normalization
por: Ni, Yunhao, et al.
Publicado: (2024)