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Domain Adaptation

8656 directly classified papers

Papers per year

Papers

MotionTransformer: Transferring Neural Inertial Tracking between Domains AAAI 2019
Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction AAAI 2019
Domain Agnostic Real-Valued Specificity Prediction AAAI 2019
Consensus Adversarial Domain Adaptation AAAI 2019
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources AAAI 2019
Cross-Domain Visual Representations via Unsupervised Graph Alignment AAAI 2019
Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation AAAI 2019
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks AAAI 2019
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation AAAI 2019
Transferable Attention for Domain Adaptation AAAI 2019
Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019
Unsupervised Domain Adaptation by Matching Distributions Based on the Maximum Mean Discrepancy via Unilateral Transformations AAAI 2019
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI 2019
Disjoint Label Space Transfer Learning with Common Factorised Space AAAI 2019
Non-Parametric Adaptation for Neural Machine Translation NAACL 2019
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA NAACL 2019
Domain adaptation for part-of-speech tagging of noisy user-generated text NAACL 2019
To Annotate or Not? Predicting Performance Drop under Domain Shift EMNLP 2019
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels EMNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction EMNLP 2019
Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases EMNLP 2019
Distributionally Robust Language Modeling EMNLP 2019
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling EMNLP 2019