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Learning theory

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Showing 451–475 of 852 papers

TitleStatusHype
Intrinisic Gradient Compression for Federated Learning—0
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning—0
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation—0
Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints—0
Is Out-of-Distribution Detection Learnable?—0
Is Transductive Learning Equivalent to PAC Learning?—0
Just Mix Once: Worst-group Generalization by Group Interpolation—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
Kernel Methods for Linear Discrete-Time Equations—0
Knowledge Distillation: Bad Models Can Be Good Role Models—0
Knowledge Graph Embedding: A Probabilistic Perspective and Generalization Bounds—0
Labeled sample compression schemes for complexes of oriented matroids—0
Large Language Models at Work in China's Labor Market—0
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses—0
Transductive Learning Is Compact—0
Learned Random Label Predictions as a Neural Network Complexity Metric—0
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers—0
Learning-Based Compressive MRI—0
Learning circuits with few negations—0
Learning curves for deep structured Gaussian feature models—0
Learning Description Logic Ontologies. Five Approaches. Where Do They Stand?—0
Learning deterministic hydrodynamic equations from stochastic active particle dynamics—0
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization—0
Learning DNF Expressions from Fourier Spectrum—0
Learning DNF through Generalized Fourier Representations—0
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