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Transfer Learning

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Papers

Regularization techniques for fine-tuning in neural machine translation EMNLP 2017 Reusing Neural Speech Representations for Auditory Emotion Recognition IJCNLP 2017 Robust Online i-Vectors for Unsupervised Adaptation of DNN Acoustic Models: A Study in the Context of Digital Voice Assistants Interspeech 2017 Sentence Embedding for Neural Machine Translation Domain Adaptation ACL 2017 Sim-to-Real Robot Learning from Pixels with Progressive Nets CoRL 2017 Speaker Adaptation in DNN-Based Speech Synthesis Using d-Vectors Interspeech 2017 StyleBank: An Explicit Representation for Neural Image Style Transfer CVPR 2017 Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension EMNLP 2017 Very Low Resource Radio Browsing for Agile Developmental and Humanitarian Monitoring Interspeech 2017 Video Captioning With Transferred Semantic Attributes CVPR 2017 Visual Translation Embedding Network for Visual Relation Detection CVPR 2017 Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection ACL 2017 YOLO9000: Better, Faster, Stronger CVPR 2017 Zero-Shot Learning - the Good, the Bad and the Ugly CVPR 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths CVPR 2017 Bank of Weight Filters for Deep CNNs ACML 2016 Constrained Deep Transfer Feature Learning and Its Applications CVPR 2016 Cross Modal Distillation for Supervision Transfer CVPR 2016 Cross-Stitch Networks for Multi-Task Learning CVPR 2016 Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions Interspeech 2016 Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution CVPR 2016 Fast Gated Neural Domain Adaptation: Language Model as a Case Study COLING 2016 Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016 iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning CVPR 2016