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Learning Theory

Learning theory

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Showing 801–850 of 852 papers

TitleStatusHype
A Brain-inspired Algorithm for Training Highly Sparse Neural NetworksCode0
Practical methods for graph two-sample testingCode0
SpeedyIBL: A Comprehensive, Precise, and Fast Implementation of Instance-Based Learning TheoryCode0
Learning Theory for Distribution RegressionCode0
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image ReconstructionCode0
Network Plasticity as Bayesian InferenceCode0
Comparing Text Representations: A Theory-Driven ApproachCode0
Information Leakage Detection through Approximate Bayes-optimal PredictionCode0
Position: Understanding LLMs Requires More Than Statistical GeneralizationCode0
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear RegressionCode0
Scaling Laws for the Value of Individual Data Points in Machine LearningCode0
On the Limitations of Fractal Dimension as a Measure of GeneralizationCode0
Information-Theoretic Local Minima Characterization and RegularizationCode0
The SWAG Algorithm; a Mathematical Approach that Outperforms Traditional Deep Learning. Theory and ImplementationCode0
NGD converges to less degenerate solutions than SGDCode0
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning TheoryCode0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
Redundant representations help generalization in wide neural networksCode0
Causal-StoNet: Causal Inference for High-Dimensional Complex DataCode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Data-Error Scaling in Machine Learning on Natural Discrete Combinatorial Mutation-prone Sets: Case Studies on Peptides and Small MoleculesCode0
Reverse Engineering the Neural Tangent KernelCode0
A Framework for Machine Learning of Model Error in Dynamical SystemsCode0
Investigating Generalization by Controlling Normalized MarginCode0
A Bayesian Perspective of Statistical Machine Learning for Big DataCode0
Is Deeper Better only when Shallow is Good?Code0
Foreseeing the Benefits of Incidental SupervisionCode0
Self-Supervised Evolution Operator Learning for High-Dimensional Dynamical SystemsCode0
Towards a Learning Theory of Cause-Effect InferenceCode0
Restarted Bayesian Online Change-point Detector achieves Optimal Detection DelayCode0
Learning ReLU networks to high uniform accuracy is intractableCode0
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rulesCode0
Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional DataCode0
Occam Gradient DescentCode0
Improving Few-Shot Learning through Multi-task Representation Learning TheoryCode0
Two Sides of Meta-Learning Evaluation: In vs. Out of DistributionCode0
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNsCode0
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neuronsCode0
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity MeasuresCode0
Wikipedia graph mining: dynamic structure of collective memoryCode0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
A Tour of Reinforcement Learning: The View from Continuous ControlCode0
On Anytime Learning at MacroscaleCode0
Generalization Bounds with Data-dependent Fractal DimensionsCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Learning a Variational Network for Reconstruction of Accelerated MRI DataCode0
A Neural Model for Regular Grammar InductionCode0
Causal RegularizationCode0
Generalization in Machine Learning via Analytical Learning TheoryCode0
Learning CHARME models with neural networksCode0
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