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Generalization

220 papers

Papers per year

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Papers

How Can We Accelerate Progress Towards Human-like Linguistic Generalization? ACL 2020
Computing the Testing Error Without a Testing Set CVPR 2020
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks CVPR 2020
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation EMNLP 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020
Generalization of Reinforcement Learners with Working and Episodic Memory NIPS 2019
Uniform convergence may be unable to explain generalization in deep learning NIPS 2019
Minimizers of the Empirical Risk and Risk Monotonicity NIPS 2019
Distributionally Robust Optimization and Generalization in Kernel Methods NIPS 2019
Generalization Error Analysis of Quantized Compressive Learning NIPS 2019
A Necessary and Sufficient Stability Notion for Adaptive Generalization NIPS 2019
Margin-Based Generalization Lower Bounds for Boosted Classifiers NIPS 2019
A Meta-Analysis of Overfitting in Machine Learning NIPS 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019
Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019
CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks ACL 2019
Testing the Generalization Power of Neural Network Models across NLI Benchmarks ACL 2019
To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019
Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization EMNLP 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019
Quantifying Generalization in Reinforcement Learning ICML 2019
Multi-Class Learning: From Theory to Algorithm NIPS 2018
The Limits of Post-Selection Generalization NIPS 2018