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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Generalization
135 directly classified papers
Papers per year
2009: 1
2012: 2
2013: 1
2015: 1
2016: 1
2017: 5
2018: 5
2019: 12
2020: 16
2021: 18
2022: 34
2023: 15
2024: 22
2025: 2
Papers
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
CVPR 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
AAAI 2025
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
NIPS 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified
NIPS 2024
Information-theoretic Generalization Analysis for Expected Calibration Error
NIPS 2024
Generalization of Hamiltonian algorithms
NIPS 2024
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
CVPR 2024
The Price of Implicit Bias in Adversarially Robust Generalization
NIPS 2024
Measuring the Robustness of NLP Models to Domain Shifts
EMNLP 2024
The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly
AAAI 2024
On the Stability and Generalization of Meta-Learning
NIPS 2024
Neural Redshift: Random Networks are not Random Functions
CVPR 2024
A Systematic Analysis on the Temporal Generalization of Language Models in Social Media
ACL 2024
Stability and L2-penalty in Model Averaging
JMLR 2024
A two-scale Complexity Measure for Deep Learning Models
NIPS 2024
Test-Time Dynamic Image Fusion
NIPS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent
NIPS 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NIPS 2024
Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
AAAI 2024
Understanding Surprising Generalization Phenomena in Deep Learning
AAAI 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure
NIPS 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions
NIPS 2024
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
IJCAI 2023
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