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Generalization

135 directly classified papers

Papers per year

Papers

Are Sample-Efficient NLP Models More Robust? ACL 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum ICML 2023
How Does Information Bottleneck Help Deep Learning? ICML 2023
Stable Learning via Sparse Variable Independence AAAI 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds NIPS 2023
On the Stability and Generalization of Triplet Learning AAAI 2023
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms NIPS 2023
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds NIPS 2023
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models NIPS 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy NIPS 2023
Local Intrinsic Dimensional Entropy AAAI 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023
Norm-based Generalization Bounds for Sparse Neural Networks NIPS 2023
Generalization Bounds for Estimating Causal Effects of Continuous Treatments NIPS 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression NIPS 2022
An Empirical Study of Memorization in NLP ACL 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NIPS 2022
Spectral Bias in Practice: The Role of Function Frequency in Generalization NIPS 2022
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization NIPS 2022
Differentially Private Learning with Margin Guarantees NIPS 2022
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias NIPS 2022
Generalization Analysis on Learning with a Concurrent Verifier NIPS 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022