6 stories tagged with #representation-learning, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels
Channel foundation models assume access to fully observed channels, an assumption that fails in deployment. We introduce PilotWiMAE, a self-supervised framework whose encoder inges…
Human-Centered Learning Mechanics: A Dynamical Framework for Entropy-Regulated Representation Learning
Deep learning is increasingly viewed as a dynamical process in parameter space, yet many existing theories still treat training as a closed optimization system. This view is limite…
Curriculum reinforcement learning with measurable task representation learning
In curriculum reinforcement learning (CRL), an agent incrementally accumulates knowledge over a sequence of tasks (i.e., a curriculum), and the learning process is aimed at using t…
How do ML practitioners select hyperparameters, architectures, etc for self-supervised representation learning when the loss is non-monotonic? [D]
Matching Principle: Adversarial, augmentation, etc. are estimators of one matrix
Robustness, domain adaptation, photometric and occlusion invariance, compositional generalisation, temporal robustness, alignment safety, and classical anisotropic regularisation a…
Sparse Federated Representation Learning for precision oncology clinical workflows during mission-critical recovery windows
My exploration of this topic began during a late-night research session in early 2024, where I was studying the intersection of federated learning and oncology. I had just read a p…