learning

Documents about learning

• Informal learning in the workplace#6694OpenAlex
• Multitask Learning#6224OpenAlex
• Automating aggregation strategy selection in federated learning#2627arXiv CS
• Online Intention Prediction via Control-Informed Learning#5975arXiv CS
• Autonomous Diffractometry Enabled by Visual Reinforcement Learning#10334arXiv CS
• What Is Machine Learning?#1727NCBI Bookshelf
• Natural Riemannian gradient for learning functional tensor networks#5980arXiv CS
• Value-Guidance MeanFlow for Offline Multi-Agent Reinforcement Learning#2617arXiv CS
• SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning#5952arXiv CS
• AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning#5956arXiv CS
• PhysInOne: Visual Physics Learning and Reasoning in One Suite#5960arXiv CS
• OASIS: Online Activation Subspace Learning for Memory-Efficient Training#5963arXiv CS
• Solving Physics Olympiad via Reinforcement Learning on Physics Simulators#10331arXiv CS
• Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer#5961arXiv CS
• Fairness is Not Flat: Geometric Phase Transitions Against Shortcut Learning#10341arXiv CS
• Data Science and Statistical Machine Learning#1733NCBI Bookshelf
• Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding#2581arXiv CS
• TTVS: Boosting Self-Exploring Reinforcement Learning via Test-time Variational Synthesis#2589arXiv CS
• bacpipe: a Python package to make bioacoustic deep learning models accessible#10354arXiv CS
• Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks#7305OpenAlex
• SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions#2586arXiv CS
• A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation#2590arXiv CS
• Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers#2605arXiv CS
• Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories#5957arXiv CS
• Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning#5969arXiv CS
• Social Learning Theory#7188OpenAlex
• Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers#10364arXiv CS
• Persistence-Augmented Neural Networks#2588arXiv CS
• Continuous Adversarial Flow Models#10358arXiv CS
• Risk prediction in IgA nephropathy: from conventional models to machine learning, deep learning, and precision nephrology.#9717PubMed
• Deep learning in neural networks: An overview#6396OpenAlex
• Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind#10343arXiv CS
• Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach#10356arXiv CS
• Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems#10360arXiv CS
• Toward World Models for Epidemiology#5948arXiv CS
• Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification#5966arXiv CS
• Drift-Aware Online Dynamic Learning for Nonstationary Multivariate Time Series: Application to Sintering Quality Prediction#5970arXiv CS
• DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings#5983arXiv CS
• Organizational Learning: A Theory of Action Perspective#6493OpenAlex
• Deep Learning with Differential Privacy#6556OpenAlex
• Legal2LogicICL: Improving Generalization in Transforming Legal Cases to Logical Formulas via Diverse Few-Shot Learning#10342arXiv CS
• Synthetic Data for any Differentiable Target#2595arXiv CS
• DMax: Aggressive Parallel Decoding for dLLMs#2609arXiv CS
• Introducing Echo Networks for Computational Neuroevolution#2612arXiv CS
• Long-Term Embeddings for Balanced Personalization#2616arXiv CS
• Multimodal Latent Reasoning via Predictive Embeddings#2626arXiv CS
• Stability Enhanced Gaussian Process Variational Autoencoders#5972arXiv CS
• Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance#2587arXiv CS
• A survey on Image Data Augmentation for Deep Learning#6480OpenAlex
• KV Cache Offloading for Context-Intensive Tasks#2593arXiv CS

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