Representation Learning

Context-Aware Smoothing for Neural Machine Translation IJCNLP 2017 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data IJCAI 2017 Context Selection for Embedding Models NeurIPS 2017 Continuous N-gram Representations for Authorship Attribution EACL 2017 Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks EMNLP 2017 Controllable Invariance through Adversarial Feature Learning NeurIPS 2017 Convolutional-Match Networks for Question Answering IJCAI 2017 Correlation Analysis of Chronic Obstructive Pulmonary Disease (COPD) and its Biomarkers Using the Word Embeddings IJCNLP 2017 Count-Based Exploration in Feature Space for Reinforcement Learning IJCAI 2017 Cross-modal Common Representation Learning by Hybrid Transfer Network IJCAI 2017 Cross-Spectral Factor Analysis NeurIPS 2017 Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization EACL 2017 CVBed: Structuring CVs usingWord Embeddings IJCNLP 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Decreasing Uncertainty in Planning with State Prediction IJCAI 2017 Deep Activation Mixture Model for Speech Recognition Interspeech 2017 DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning IJCAI 2017 Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions Interspeech 2017 Deep Automated Multi-task Learning IJCNLP 2017 Deep Context: A Neural Language Model for Large-scale Networked Documents IJCAI 2017 Deep Cross-Modal Hashing CVPR 2017 Deep Dynamic Poisson Factorization Model NeurIPS 2017 Deep Forest: Towards An Alternative to Deep Neural Networks IJCAI 2017 Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks CVPR 2017