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Domain Adaptation

1154 directly classified papers

Papers per year

Papers

General Transportability – Synthesizing Observations and Experiments from Heterogeneous Domains AAAI 2020
Structure-Aware Feature Fusion for Unsupervised Domain Adaptation AAAI 2020
KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract) AAAI 2020
Selective Question Answering under Domain Shift ACL 2020
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation ACL 2020
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox ACL 2020
Character Mapping and Ad-hoc Adaptation: Edinburgh’s IWSLT 2020 Open Domain Translation System ACL 2020
Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020
Stochastic Classifiers for Unsupervised Domain Adaptation CVPR 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging EMNLP 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020
Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020
Factorized Transformer for Multi-Domain Neural Machine Translation EMNLP 2020
Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation EMNLP 2020
Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020 EMNLP 2020
Heuristic Domain Adaptation NIPS 2020
CO-Optimal Transport NIPS 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
Data-Driven Approach to Multiple-Source Domain Adaptation AISTATS 2019
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition ICCV 2019
Adaptation Based on Generalized Discrepancy JMLR 2019
Multi-class Heterogeneous Domain Adaptation JMLR 2019
Disjoint Label Space Transfer Learning with Common Factorised Space AAAI 2019
Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019