Representation Learning

Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources EACL 2017 Inductive Representation Learning on Large Graphs NeurIPS 2017 InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations NeurIPS 2017 Interactive Abstractive Summarization for Event News Tweets EMNLP 2017 Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts NeurIPS 2017 Invariance and Stability of Deep Convolutional Representations NeurIPS 2017 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017 Kernel Pooling for Convolutional Neural Networks CVPR 2017 Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL 2017 Large-scale Subspace Clustering by Fast Regression Coding IJCAI 2017 Latent Space Embedding for Retrieval in Question-Answer Archives EMNLP 2017 Learning a Deep Embedding Model for Zero-Shot Learning CVPR 2017 Learning a Multi-View Stereo Machine NeurIPS 2017 Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images CVPR 2017 Learning Character-level Compositionality with Visual Features ACL 2017 Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017 Learning Detailed Face Reconstruction From a Single Image CVPR 2017 Learning Discriminative and Transformation Covariant Local Feature Detectors CVPR 2017 Learning Dynamic Guidance for Depth Image Enhancement CVPR 2017 Learning Fine-grained Relations from Chinese User Generated Categories EMNLP 2017 Learning Generic Sentence Representations Using Convolutional Neural Networks EMNLP 2017 Learning Hierarchical Information Flow with Recurrent Neural Modules NeurIPS 2017 Learning Language Representations for Typology Prediction EMNLP 2017 Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks CVPR 2017 Learning Semantic Correspondences in Technical Documentation ACL 2017