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Learning Theory

Learning theory

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Showing 151–175 of 852 papers

TitleStatusHype
A neural network account to Kant's philosophical aesthetics—0
On the Learnability of Out-of-distribution Detection—0
Active Test-Time Adaptation: Theoretical Analyses and An AlgorithmCode1
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications—0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study—0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR—0
Robust NAS under adversarial training: benchmark, theory, and beyond—0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification—0
Majority-of-Three: The Simplest Optimal Learner?—0
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationCode1
On the Diminishing Returns of Width for Continual LearningCode0
Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms—0
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping—0
Lotka-Volterra Model with Mutations and Generative Adversarial Networks—0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification—0
Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network—0
Adaptive time series forecasting with markovian variance switching—0
Generalising realisability in statistical learning theory under epistemic uncertainty—0
A unified framework of non-local parametric methods for image denoising—0
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture—0
The Dimension of Self-Directed Learning—0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Transductive Learning Is Compact—0
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