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Learning Theory

Learning theory

Papers

Showing 151200 of 852 papers

TitleStatusHype
A neural network account to Kant's philosophical aesthetics0
On the Learnability of Out-of-distribution Detection0
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 Applications0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study0
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR0
Robust NAS under adversarial training: benchmark, theory, and beyond0
Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification0
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 Paradigms0
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping0
Lotka-Volterra Model with Mutations and Generative Adversarial Networks0
Conformal Shield: A Novel Adversarial Attack Detection Framework for Automatic Modulation Classification0
Shapley Value Based Multi-Agent Reinforcement Learning: Theory, Method and Its Application to Energy Network0
Adaptive time series forecasting with markovian variance switching0
Generalising realisability in statistical learning theory under epistemic uncertainty0
A unified framework of non-local parametric methods for image denoising0
The Dimension of Self-Directed Learning0
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Transductive Learning Is Compact0
Transductive Active Learning: Theory and ApplicationsCode2
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak FeaturesCode0
The Complexity of Sequential Prediction in Dynamical Systems0
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss0
Estimating the Local Learning Coefficient at ScaleCode0
A call for embodied AI0
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence0
Learning to Understand: Identifying Interactions via the Möbius Transform0
Credal Learning Theory0
Information Leakage Detection through Approximate Bayes-optimal PredictionCode0
The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and ImplementationsCode1
The twin peaks of learning neural networks0
Hallucination is Inevitable: An Innate Limitation of Large Language Models0
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance0
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models0
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization StrategyCode0
Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation0
Quantum Algorithms for the Pathwise Lasso0
Statistical learning theory and Occam's razor: The core argument0
Reasoning with random sets: An agenda for the future0
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations0
Harmonics of Learning: Universal Fourier Features Emerge in Invariant NetworksCode1
Coordination of Damping Controllers: A Novel Data-Informed Approach for Adaptability0
Adaptive Parameter Selection for Kernel Ridge Regression0
LSTSVR-PI: Least square twin support vector regression with privileged information0
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