Generalization
376 papers
Papers per year
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4
3
4
4
5
3
3
5
2
6
8
25
36
45
77
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43
34
19
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Papers
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution
CVPR 2024
Neural Redshift: Random Networks are not Random Functions
CVPR 2024
On the Limitations of Fractal Dimension as a Measure of Generalization
NeurIPS 2024
On the Stability and Generalization of Meta-Learning
NeurIPS 2024
Predicting generalization performance with correctness discriminators
EMNLP 2024
Regularization and Optimal Multiclass Learning
COLT 2024
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
ICLR 2024
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
COLT 2024
Stability and L2-penalty in Model Averaging
JMLR 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
NeurIPS 2024
Test-Time Dynamic Image Fusion
NeurIPS 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions
NeurIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization
NeurIPS 2024
The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly
AAAI 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
CVPR 2024
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
UAI 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
NeurIPS 2024
Understanding Surprising Generalization Phenomena in Deep Learning
AAAI 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss
COLT 2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
AAAI 2024
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
CVPR 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
NeurIPS 2023
Are Sample-Efficient NLP Models More Robust?
ACL 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning
NeurIPS 2023