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Domain Adaptation

8656 directly classified papers

Papers per year

Papers

Scaling and Benchmarking Self-Supervised Visual Representation Learning ICCV 2019
VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases EMNLP 2019
SmokEng: Towards Fine-grained Classification of Tobacco-related Social Media Text EMNLP 2019
Semi-Supervised Learning by Augmented Distribution Alignment ICCV 2019
Acoustic Modeling for Automatic Lyrics-to-Audio Alignment INTERSPEECH 2019
Additive Adversarial Learning for Unbiased Authentication CVPR 2019
Strong-Weak Distribution Alignment for Adaptive Object Detection CVPR 2019
Enhancing Air Quality Prediction with Social Media and Natural Language Processing ACL 2019
Few-Shot Adaptive Faster R-CNN CVPR 2019
Learning From Synthetic Data for Crowd Counting in the Wild CVPR 2019
GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation CVPR 2019
Improving Multi-label Emotion Classification by Integrating both General and Domain-specific Knowledge EMNLP 2019
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks NIPS 2019
Deep Model Transferability from Attribution Maps NIPS 2019
Pose-preserving Cross Spectral Face Hallucination IJCAI 2019
Cross-Modal Learning with Adversarial Samples NIPS 2019
WAT2019: English-Hindi Translation on Hindi Visual Genome Dataset EMNLP 2019
Domain Adaptation for Structured Output via Discriminative Patch Representations ICCV 2019
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019
Spectral Regularization for Combating Mode Collapse in GANs ICCV 2019
Learning GANs and Ensembles Using Discrepancy NIPS 2019
End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition System INTERSPEECH 2019
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites EMNLP 2019
All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation CVPR 2019
Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data INTERSPEECH 2019