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Generalization

220 papers

Papers per year

1
27
8
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Papers

A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes ALT 2026
Uniform Convergence Beyond Glivenko-Cantelli ALT 2026
Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning AAAI 2025
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025
Systematic Generalization in Language Models Scales with Information Entropy ACL 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing CVPR 2025
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025
Test-Time Dynamic Image Fusion NIPS 2024
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NIPS 2024
A two-scale Complexity Measure for Deep Learning Models NIPS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
Generalization of Hamiltonian algorithms NIPS 2024
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure NIPS 2024
Model Collapse Demystified: The Case of Regression NIPS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization NIPS 2024
On the Limitations of Fractal Dimension as a Measure of Generalization NIPS 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NIPS 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NIPS 2024
On the Stability and Generalization of Meta-Learning NIPS 2024
Achievable distributional robustness when the robust risk is only partially identified NIPS 2024