Transfer Learning

Domain Adaptation with Conditional Transferable Components ICML 2016 Domain Separation Networks NeurIPS 2016 Eye Tracking for Everyone CVPR 2016 Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution CVPR 2016 Far-Field ASR Without Parallel Data Interspeech 2016 Feature-Level Domain Adaptation JMLR 2016 Frustratingly Easy Neural Domain Adaptation COLING 2016 Head Motion Generation with Synthetic Speech: A Data Driven Approach Interspeech 2016 Information Bottleneck Learning Using Privileged Information for Visual Recognition CVPR 2016 Language Adaptive DNNs for Improved Low Resource Speech Recognition Interspeech 2016 Language Independent Dependency to Constituent Tree Conversion COLING 2016 Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions Interspeech 2016 Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016 Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation CVPR 2016 Learning From the Mistakes of Others: Matching Errors in Cross-Dataset Learning CVPR 2016 Learning Personalized Pronunciations for Contact Name Recognition Interspeech 2016 Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016 Leveraging Multilingual Training for Limited Resource Event Extraction COLING 2016 Leveraging Multiple Domains for Sentiment Classification COLING 2016 Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition Interspeech 2016 MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection SemEval 2016 Multilingual Data Selection for Low Resource Speech Recognition Interspeech 2016 Multi-step learning and underlying structure in statistical models NeurIPS 2016 Multi-Task Learning and Weighted Cross-Entropy for DNN-Based Keyword Spotting Interspeech 2016