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Generalization

376 papers

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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