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Generalization

88 directly classified papers

Papers per year

Papers

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021
Improving Model Generalization: A Chinese Named Entity Recognition Case Study ACL 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ACL 2021
Meta-Learning to Compositionally Generalize ACL 2021
Predicting Deep Neural Network Generalization with Perturbation Response Curves NIPS 2021
Generalization Guarantee of SGD for Pairwise Learning NIPS 2021
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model NIPS 2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation NIPS 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NIPS 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NIPS 2021
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers EMNLP 2021
Sequence Length is a Domain: Length-based Overfitting in Transformer Models EMNLP 2021
Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network EMNLP 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization ICML 2021
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NIPS 2020
Neural Complexity Measures NIPS 2020
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning NIPS 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 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
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020
Computing the Testing Error Without a Testing Set CVPR 2020
Ensembles of Locally Independent Prediction Models AAAI 2020
Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks AAAI 2020