local learning

Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026 LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization WACV 2025 MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network AAAI 2025 What should a neuron aim for? Designing local objective functions based on information theory ICLR 2025 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks ICLR 2024 Forward Learning of Graph Neural Networks ICLR 2024 Scaling Supervised Local Learning with Augmented Auxiliary Networks ICLR 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 A Statistical Perspective on Retrieval-Based Models ICML 2023 Formalizing locality for normative synaptic plasticity models NeurIPS 2023 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 Interlocking Backpropagation: Improving depthwise model-parallelism JMLR 2022 Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning CVPR 2022 Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? IJCAI 2022 The least-control principle for local learning at equilibrium NeurIPS 2022 Active Local Learning COLT 2020 LoCo: Local Contrastive Representation Learning NeurIPS 2020 Two Routes to Scalable Credit Assignment without Weight Symmetry ICML 2020 Non-linear motor control by local learning in spiking neural networks ICML 2018 Optimal Learning Rates for Localized SVMs JMLR 2016 Label optimal regret bounds for online local learning COLT 2015 Fine-Grained Visual Comparisons with Local Learning CVPR 2014 Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013