SOTAVerified

Generalization Bounds

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 686 papers

TitleStatusHype
Generalization bounds for graph convolutional neural networks via Rademacher complexityCode0
A PAC-Bayes Analysis of Adversarial RobustnessCode0
Approximation and Learning with Deep Convolutional Models: a Kernel PerspectiveCode0
On the Sample Complexity of Stability Constrained Imitation Learning—0
SWAD: Domain Generalization by Seeking Flat MinimaCode1
A General Framework for the Practical Disintegration of PAC-Bayesian BoundsCode0
Lexicographically Fair Learning: Algorithms and Generalization—0
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform StabilityCode0
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks—0
Dimension Free Generalization Bounds for Non Linear Metric Learning—0
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels—0
Information-Theoretic Generalization Bounds for Stochastic Gradient Descent—0
Robustness to Augmentations as a Generalization metricCode0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms—0
Beyond GNNs: A Sample Efficient Architecture for Graph Problems—0
f-Domain-Adversarial Learning: Theory and Algorithms for Unsupervised Domain Adaptation with Neural Networks—0
Lipschitz-Bounded Equilibrium Networks—0
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing—0
Estimating Lipschitz constants of monotone deep equilibrium models—0
Stability analysis of SGD through the normalized loss function—0
Robustness, Privacy, and Generalization of Adversarial TrainingCode0
A Tight Lower Bound for Uniformly Stable Algorithms—0
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningCode1
NeurIPS 2020 Competition: Predicting Generalization in Deep Learning—0
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks—0
Generalization bounds for deep learning—0
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsCode0
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds—0
Sharper Generalization Bounds for Pairwise Learning—0
Instance-based Generalization in Reinforcement Learning—0
Adapting Neural Architectures Between DomainsCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Neural Abstract Reasoner—0
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
Instance based Generalization in Reinforcement LearningCode0
Compressive Sensing and Neural Networks from a Statistical Learning Perspective—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
In Search of Robust Measures of GeneralizationCode1
Non-parametric Binary regression in metric spaces with KL loss—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Selective Classification via One-Sided PredictionCode0
Minimax Classification with 0-1 Loss and Performance GuaranteesCode1
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks—0
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data—0
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning—0
Lipschitz Bounded Equilibrium Networks—0
Effective Sample Size, Dimensionality, and Generalization in Covariate Shift AdaptationCode1
Benign overfitting in ridge regression—0
Show:102550
← PrevPage 9 of 14Next →

No leaderboard results yet.