double descent

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning ICLR 2023 Anisotropic Random Feature Regression in High Dimensions ICLR 2022 Are All Linear Regions Created Equal? AISTATS 2022 Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent From the Decision Boundary Perspective CVPR 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022 Generalization Through the Lens of Leave-One-Out Error ICLR 2022 Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NeurIPS 2022 Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting NeurIPS 2022 Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022 On the Double Descent of Random Features Models Trained with SGD NeurIPS 2022 Phenomenology of Double Descent in Finite-Width Neural Networks ICLR 2022 Ridgeless Regression with Random Features IJCAI 2022 RIGA at SemEval-2022 Task 1: Scaling Recurrent Neural Networks for CODWOE Dictionary Modeling SemEval 2022 Sparse Double Descent: Where Network Pruning Aggravates Overfitting ICML 2022 Target alignment in truncated kernel ridge regression NeurIPS 2022 Asymptotics of Ridge Regression in Convolutional Models ICML 2021 Kernel regression in high dimensions: Refined analysis beyond double descent AISTATS 2021 Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NeurIPS 2021 Multiple Descent: Design Your Own Generalization Curve NeurIPS 2021 On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models ICML 2021 On the Role of Optimization in Double Descent: A Least Squares Study NeurIPS 2021 On the Universality of the Double Descent Peak in Ridgeless Regression ICLR 2021 Optimal Regularization can Mitigate Double Descent ICLR 2021 Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021 Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs IJCAI 2021