Cover Image

Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Money, Gavin, Penchala, Sindhuja, Li, Jiacheng, Golilarz, Noorbakhsh Amiri
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging the Gap: Toward Cognitive Autonomy in Artificial Intelligence
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)

One Patch is All You Need: Joint Surface Material Reconstruction and Classification from Minimal Visual Cues
by: Penchala, Sindhuja, et al.
Published: (2025)

An Automatic Detection Method for Hematoma Features in Placental Abruption Ultrasound Images Based on Few-Shot Learning
by: Liu, Xiaoqing, et al.
Published: (2025)

Advancing the Biological Plausibility and Efficacy of Hebbian Convolutional Neural Networks
by: Nimmo, Julian Jimenez, et al.
Published: (2025)

A Lightweight Convolution and Vision Transformer integrated model with Multi-scale Self-attention Mechanism
by: Zhang, Yi, et al.
Published: (2025)

SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition
by: Wang, Xiao, et al.
Published: (2023)

Frozen Backpropagation: Relaxing Weight Symmetry in Deep Spiking Neural Networks
by: Goupy, Gaspard, et al.
Published: (2025)

Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
by: Huber, Thomas E., et al.
Published: (2025)

SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
by: Ruzavina, Irina, et al.
Published: (2025)

Hebbian Attractor Networks for Robot Locomotion
by: Dittrich, Alexander, et al.
Published: (2026)

Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
by: Ciampi, Luca, et al.
Published: (2026)

Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition
by: El-Assal, Mireille, et al.
Published: (2023)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks
by: Khosrowshahli, Rasa, et al.
Published: (2025)

STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networks
by: Gao, Haoran, et al.
Published: (2024)

Context-aware Sparse Spatiotemporal Learning for Event-based Vision
by: Wang, Shenqi, et al.
Published: (2025)

Benchmarking Hebbian learning rules for associative memory
by: Lansner, Anders, et al.
Published: (2023)

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks
by: Neumeier, Michael, et al.
Published: (2025)

BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
by: Silva, Kaushitha, et al.
Published: (2025)

STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers
by: Zheng, Zeqi, et al.
Published: (2025)

SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
by: Zheng, Zeqi, et al.
Published: (2025)

Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition
by: Wang, Yang, et al.
Published: (2024)

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation
by: Gu, Yuliang, et al.
Published: (2024)

SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
by: Shi, Xinyu, et al.
Published: (2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
by: Yao, Man, et al.
Published: (2024)

Evolutionary Generalized Zero-Shot Learning
by: Chen, Dubing, et al.
Published: (2022)

Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
by: Sharma, Shivani, et al.
Published: (2024)

Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data
by: Steffen, Lea, et al.
Published: (2024)

Zero-Shot NAS via the Suppression of Local Entropy Decrease
by: Wu, Ning, et al.
Published: (2024)

Temporal-adaptive Weight Quantization for Spiking Neural Networks
by: Zhang, Han, et al.
Published: (2025)

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
by: Deschenaux, Justin, et al.
Published: (2024)

Continual Learning with Hebbian Plasticity in Sparse and Predictive Coding Networks: A Survey and Perspective
by: Safa, Ali
Published: (2024)

Hebbian-Oscillatory Co-Learning
by: Hays, Hasi
Published: (2026)

RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics
by: Zhang, Heng
Published: (2026)

Language Model Crossover: Variation through Few-Shot Prompting
by: Meyerson, Elliot, et al.
Published: (2023)

WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
by: Fournier, Louis, et al.
Published: (2024)

Associative Transformer
by: Sun, Yuwei, et al.
Published: (2023)

Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning
by: Frati, Lapo, et al.
Published: (2023)

On the Surprising Effectiveness of Attention Transfer for Vision Transformers
by: Li, Alexander C., et al.
Published: (2024)

Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network
by: Sapkota, Suman
Published: (2024)

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
by: Iannello, Ludovico, et al.
Published: (2025)