← Application Areas
Machine Learning › Application Areas ›

Domain Generalization

1760 directly classified papers

Papers per year

Papers

Joint Training with Semantic Role Labeling for Better Generalization in Natural Language Inference ACL 2020
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation EMNLP 2020
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks CVPR 2020
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health IJCAI 2020
Diagnosing the Environment Bias in Vision-and-Language Navigation IJCAI 2020
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective IJCAI 2020
Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning INTERSPEECH 2020
Pretrained Transformers Improve Out-of-Distribution Robustness ACL 2020
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition CVPR 2020
Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020
Small but Mighty: New Benchmarks for Split and Rephrase EMNLP 2020
Do Models of Mental Health Based on Social Media Data Generalize? EMNLP 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases EMNLP 2020
WinoGrande: An Adversarial Winograd Schema Challenge at Scale AAAI 2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias CVPR 2020
Regularized Fine-Grained Meta Face Anti-Spoofing AAAI 2020
A Learning Strategy for Contrast-agnostic MRI Segmentation MIDL 2020
DIVA: Domain Invariant Variational Autoencoders MIDL 2020
Learning to Learn Single Domain Generalization CVPR 2020
Distortion Agnostic Deep Watermarking CVPR 2020
Towards Speech Robustness for Acoustic Scene Classification INTERSPEECH 2020
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? EMNLP 2020