Generalization
376 papers
Papers per year
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25
36
45
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Papers
The Size of Teachers as a Measure of Data Complexity: PAC-Bayes Excess Risk Bounds and Scaling Laws
AISTATS 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
CVPR 2025
Training Data Soft Selection via Joint Density Ratio Estimation
ACML 2025
Achievable distributional robustness when the robust risk is only partially identified
NeurIPS 2024
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression
ICLR 2024
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media
ACL 2024
Attribute Diversity Determines the Systematicity Gap in VQA
EMNLP 2024
A two-scale Complexity Measure for Deep Learning Models
NeurIPS 2024
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
COLT 2024
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
ICLR 2024
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
AAAI 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NeurIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NeurIPS 2024
Generalization and Learnability in Multiple Instance Regression
UAI 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
NeurIPS 2024
Generalization of Hamiltonian algorithms
NeurIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
Information-theoretic Generalization Analysis for Expected Calibration Error
NeurIPS 2024
Information-theoretic generalization bounds for learning from quantum data
COLT 2024
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
NeurIPS 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
NeurIPS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent
NeurIPS 2024
List Sample Compression and Uniform Convergence
COLT 2024
Measuring the Robustness of NLP Models to Domain Shifts
EMNLP 2024
Model Collapse Demystified: The Case of Regression
NeurIPS 2024