Learning Paradigms

Incorporating Uncertainty into Deep Learning for Spoken Language Assessment ACL 2017 Interspecies Knowledge Transfer for Facial Keypoint Detection CVPR 2017 Iterative Machine Teaching ICML 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Joint Learning on Relevant User Attributes in Micro-blog IJCAI 2017 Joint Training for Pivot-based Neural Machine Translation IJCAI 2017 Knowledge Distillation for Bilingual Dictionary Induction EMNLP 2017 Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach IJCAI 2017 Label Efficient Learning of Transferable Representations acrosss Domains and Tasks NeurIPS 2017 Lean Crowdsourcing: Combining Humans and Machines in an Online System CVPR 2017 Learning Algorithms for Active Learning ICML 2017 Learning attention for historical text normalization by learning to pronounce ACL 2017 Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation IJCAI 2017 Learning from Data Heterogeneity: Algorithms and Applications IJCAI 2017 Learning Multiple Tasks with Multilinear Relationship Networks NeurIPS 2017 Learning Neural Representations of Human Cognition across Many fMRI Studies NeurIPS 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017 Learning to Learn From Noisy Web Videos CVPR 2017 Learning to Learn Programs from Examples: Going Beyond Program Structure IJCAI 2017 Learning to Learn without Gradient Descent by Gradient Descent ICML 2017 Learning to Model the Tail NeurIPS 2017 Learning to select data for transfer learning with Bayesian Optimization EMNLP 2017 Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks IJCNLP 2017 Learning with Previously Unseen Features IJCAI 2017