Cover Image

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Papachristodoulou, Andreas, Kyrkou, Christos, Timotheou, Stelios, Theocharides, Theocharis
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
by: Kyrkou, Christos
Published: (2024)

Efficient Global Neural Architecture Search
by: Siddiqui, Shahid, et al.
Published: (2025)

Continual Learning: Applications and the Road Forward
by: Verwimp, Eli, et al.
Published: (2023)

Self-Contrastive Forward-Forward Algorithm
by: Chen, Xing, et al.
Published: (2024)

Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
by: Telegraph, Kristina, et al.
Published: (2024)

Training Convolutional Neural Networks with the Forward-Forward algorithm
by: Scodellaro, Riccardo, et al.
Published: (2023)

Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise
by: Scimeca, Luca, et al.
Published: (2025)

DiffusionNFT: Online Diffusion Reinforcement with Forward Process
by: Zheng, Kaiwen, et al.
Published: (2025)

Fwd2Bot: LVLM Visual Token Compression with Double Forward Bottleneck
by: Bulat, Adrian, et al.
Published: (2025)

CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
by: Nikzad, Nick, et al.
Published: (2024)

MapAnything: Universal Feed-Forward Metric 3D Reconstruction
by: Keetha, Nikhil, et al.
Published: (2025)

Contrastive Forward-Forward: A Training Algorithm of Vision Transformer
by: Aghagolzadeh, Hossein, et al.
Published: (2025)

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
by: Fu, Tianhao, et al.
Published: (2026)

Any4D: Unified Feed-Forward Metric 4D Reconstruction
by: Karhade, Jay, et al.
Published: (2025)

Covariance-Aware Goodness for Scalable Forward-Forward Learning
by: Jiang, Xiaoyi, et al.
Published: (2026)

Forward-Only Continual Learning
by: Chen, Jiao, et al.
Published: (2025)

Forward-Cooperation-Backward (FCB) learning in a Multi-Encoding Uni-Decoding neural network architecture
by: Dutta, Prasun, et al.
Published: (2025)

Accelerating Diffusion Transformers with Token-wise Feature Caching
by: Zou, Chang, et al.
Published: (2024)

Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks
by: Müller, Johanna P., et al.
Published: (2024)

Convolutional Set Transformer
by: Chinello, Federico, et al.
Published: (2025)

Learning Robust Convolutional Neural Networks with Relevant Feature Focusing via Explanations
by: Adachi, Kazuki, et al.
Published: (2022)

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024)

LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging
by: Wang, Xinyu, et al.
Published: (2026)

Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression
by: Chapman, Avraham, et al.
Published: (2022)

Universal Algorithm-Implicit Learning
by: Woerner, Stefano, et al.
Published: (2026)

Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding
by: Ganjidoost, Ehsan, et al.
Published: (2024)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
by: Xia, Shi-Yu, et al.
Published: (2024)

Rethinking Token-wise Feature Caching: Accelerating Diffusion Transformers with Dual Feature Caching
by: Zou, Chang, et al.
Published: (2024)

KernelWarehouse: Rethinking the Design of Dynamic Convolution
by: Li, Chao, et al.
Published: (2024)

Probing Equivariance and Symmetry Breaking in Convolutional Networks
by: Vadgama, Sharvaree, et al.
Published: (2025)

Rethinking Training Dynamics in Scale-wise Autoregressive Generation
by: Zhou, Gengze, et al.
Published: (2025)

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging
by: Ali, Mazen, et al.
Published: (2025)

DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
by: Yeganejou, Mojtaba, et al.
Published: (2023)

Neural Tangent Knowledge Distillation for Optical Convolutional Networks
by: Xiang, Jinlin, et al.
Published: (2025)

Kolmogorov-Arnold Convolutions: Design Principles and Empirical Studies
by: Drokin, Ivan
Published: (2024)

Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
by: Olisah, Chollette C., et al.
Published: (2024)

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
by: Doshi, Nishi, et al.
Published: (2026)

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
by: Watt, Tess, et al.
Published: (2024)

Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks
by: Lance, Jake, et al.
Published: (2026)

FFNet: MetaMixer-based Efficient Convolutional Mixer Design
by: Yun, Seokju, et al.
Published: (2024)