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Learning Theory

Learning theory

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Showing 201–225 of 852 papers

TitleStatusHype
Impact of Data Augmentation on QCNNs—0
Optimal Sample Complexity of Contrastive Learning—0
When Is Inductive Inference Possible?—0
Applying statistical learning theory to deep learning—0
Stability and L2-penalty in Model Averaging—0
Information-theoretic generalization bounds for learning from quantum data—0
Generative learning for nonlinear dynamics—0
Learning to Augment Distributions for Out-of-Distribution DetectionCode1
Autonomous Learning of Generative Models with Chemical Reaction Network Ensembles—0
Applications of the Theory of Aggregated Markov Processes in Stochastic Learning Theory—0
On kernel-based statistical learning in the mean field limit—0
The Bayesian Stability Zoo—0
Lifting the Veil: Unlocking the Power of Depth in Q-learning—0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
An Online Learning Theory of Brokerage—0
Constructive Large Language Models Alignment with Diverse Feedback—0
Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition—0
SPADE: Sparsity-Guided Debugging for Deep Neural NetworksCode0
Why Do We Need Weight Decay in Modern Deep Learning?Code1
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
On Continuity of Robust and Accurate Classifiers—0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Learning to Abstain From Uninformative Data—0
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay—0
Statistical Complexity of Quantum Learning—0
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