conftrace_

over-parameterization

11 papers

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Co-occurring keywords · papers mentioning both

generalization (4) depth (1) width (1) freezing layers (1) compressible dynamics (1) deep lora (1) deep low-rank matrix completion (1) disconnected paths (1) sparsest models (1) pointwise equivalence (1)

Papers

Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025 Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization ICML 2025 Theoretical Limitations of Ensembles in the Age of Overparameterization ICML 2025 What Makes Freezing Layers in Deep Neural Networks Effective? A Linear Separability Perspective AutoML 2025 Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks ICML 2024 Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation ICML 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Exploring the Complexity of Deep Neural Networks through Functional Equivalence ICML 2024 Minimum-Norm Interpolation Under Covariate Shift ICML 2024 Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities ICML 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024