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Generalization

135 directly classified papers

Papers per year

Papers

Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP 2021
Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms EMNLP 2021
Overparameterization Improves Robustness to Covariate Shift in High Dimensions NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
Learning curves of generic features maps for realistic datasets with a teacher-student model NIPS 2021
IRM—when it works and when it doesn't: A test case of natural language inference NIPS 2021
Relative Flatness and Generalization NIPS 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NIPS 2021
User-Level Differentially Private Learning via Correlated Sampling NIPS 2021
Interpolation can hurt robust generalization even when there is no noise NIPS 2021
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Fine-grained Generalization Analysis of Inductive Matrix Completion NIPS 2021
On the Algorithmic Stability of Adversarial Training NIPS 2021
Towards Sharper Generalization Bounds for Structured Prediction NIPS 2021
In search of robust measures of generalization NIPS 2020
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition NIPS 2020
An Unbiased Risk Estimator for Learning with Augmented Classes NIPS 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NIPS 2020
Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks AAAI 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NIPS 2020