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Learning Theory

Learning theory

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Showing 51–100 of 852 papers

TitleStatusHype
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image ReconstructionCode0
Two Sides of Meta-Learning Evaluation: In vs. Out of DistributionCode0
Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solutionCode0
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal InferenceCode0
Is Deeper Better only when Shallow is Good?Code0
An Analytic Framework for Robust Training of Artificial Neural NetworksCode0
NGD converges to less degenerate solutions than SGDCode0
Information-Theoretic Local Minima Characterization and RegularizationCode0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
On the Diminishing Returns of Width for Continual LearningCode0
A Neural Model for Regular Grammar InductionCode0
Improving Energy Conserving Descent for Machine Learning: Theory and PracticeCode0
Improved learning theory for kernel distribution regression with two-stage samplingCode0
Information Leakage Detection through Approximate Bayes-optimal PredictionCode0
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsCode0
Gradient Equilibrium in Online Learning: Theory and ApplicationsCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
Gray Learning from Non-IID Data with Out-of-distribution SamplesCode0
A primal-dual data-driven method for computational optical imaging with a photonic lanternCode0
A Brain-inspired Algorithm for Training Highly Sparse Neural NetworksCode0
Estimating the Local Learning Coefficient at ScaleCode0
Foreseeing the Benefits of Incidental SupervisionCode0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
Double descent in quantum machine learningCode0
Deep Learning without Poor Local MinimaCode0
Learning invariant representations of time-homogeneous stochastic dynamical systemsCode0
Efficient Training for Positive Unlabeled LearningCode0
Deep Learning is Singular, and That's GoodCode0
Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent KernelCode0
Deep Learning Theory Review: An Optimal Control and Dynamical Systems PerspectiveCode0
A Principle of Least Action for the Training of Neural NetworksCode0
Adaptive hybrid activation function for deep neural networksCode0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Geostatistical Learning: Challenges and OpportunitiesCode0
Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small MoleculesCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)Code0
End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic dataCode0
Improving Generalization of Deep Networks for Inverse Reconstruction of Image SequencesCode0
Comparing Text Representations: A Theory-Driven ApproachCode0
A Strategic Framework for Optimal Decisions in Football 1-vs-1 Shot-Taking Situations: An Integrated Approach of Machine Learning, Theory-Based Modeling, and Game TheoryCode0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Investigating Generalization by Controlling Normalized MarginCode0
Consistent Sparse Deep Learning: Theory and ComputationCode0
Causal RegularizationCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Learning CHARME models with neural networksCode0
Learning curves for the multi-class teacher-student perceptronCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
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