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Generalization

88 directly classified papers

Papers per year

Papers

Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025
Systematic Generalization in Language Models Scales with Information Entropy ACL 2025
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing CVPR 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
GenTool: Enhancing Tool Generalization in Language Models through Zero-to-One and Weak-to-Strong Simulation ACL 2025
Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024
Predicting generalization performance with correctness discriminators EMNLP 2024
Attribute Diversity Determines the Systematicity Gap in VQA EMNLP 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection CVPR 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NIPS 2024
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks AAAI 2024
CR-SAM: Curvature Regularized Sharpness-Aware Minimization AAAI 2024
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure NIPS 2024
Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution CVPR 2024
Model Collapse Demystified: The Case of Regression NIPS 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets NIPS 2024
Which Shortcut Solution Do Question Answering Models Prefer to Learn? AAAI 2023
On Evaluating Multilingual Compositional Generalization with Translated Datasets ACL 2023
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023
Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries EMNLP 2023
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023