Learning Paradigms

Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification COLING 2016 Knowledge Matters: Importance of Prior Information for Optimization JMLR 2016 Language Model Data Augmentation for Keyword Spotting in Low-Resourced Training Conditions Interspeech 2016 Latent Attention For If-Then Program Synthesis NeurIPS 2016 Learning and 1-bit Compressed Sensing under Asymmetric Noise COLT 2016 Learning and Inference via Maximum Inner Product Search ICML 2016 Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning feed-forward one-shot learners NeurIPS 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Learning Sensor Multiplexing Design through Back-propagation NeurIPS 2016 Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation NeurIPS 2016 Learnt Quasi-Transitive Similarity for Retrieval From Large Collections of Faces CVPR 2016 Long Short-Term Memory for Speaker Generalization in Supervised Speech Separation Interspeech 2016 MAGES: A Multilingual Angle-integrated Grouping-based Entity Summarization System COLING 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Matching Networks for One Shot Learning NeurIPS 2016 Meta-Learning with Memory-Augmented Neural Networks ICML 2016 Minimizing Annotation Effort for Adaptation of Speech-Activity Detection Systems Interspeech 2016 MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection SemEval 2016 Model-Free Imitation Learning with Policy Optimization ICML 2016 MovieQA: Understanding Stories in Movies Through Question-Answering CVPR 2016 Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016 Multilingual Speech Emotion Recognition System Based on a Three-Layer Model Interspeech 2016 Multi-step learning and underlying structure in statistical models NeurIPS 2016