Embedding Learning

Learning Character-level Compositionality with Visual Features ACL 2017 Learning Compositionality Functions on Word Embeddings for Modelling Attribute Meaning in Adjective-Noun Phrases EACL 2017 Learning Concise Representations of Users' Influences through Online Behaviors IJCAI 2017 Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information CoNLL 2017 Learning Continuous Semantic Representations of Symbolic Expressions ICML 2017 Learning Cross-Modal Embeddings for Cooking Recipes and Food Images CVPR 2017 Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017 Learning Discriminative Recommendation Systems with Side Information IJCAI 2017 Learning from Conditional Distributions via Dual Embeddings AISTATS 2017 Learning Mahalanobis Distance Metric: Considering Instance Disturbance Helps IJCAI 2017 Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing IJCAI 2017 Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks CVPR 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits CoNLL 2017 Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings ACL 2017 Learning to Align the Source Code to the Compiled Object Code ICML 2017 Learning to Predict Denotational Probabilities For Modeling Entailment EACL 2017 Learning User Embeddings from Emails EACL 2017 Learning Weakly Supervised Multimodal Phoneme Embeddings Interspeech 2017 Learning Word Relatedness over Time EMNLP 2017 Learning Word Vector Representations Based on Acoustic Counts Interspeech 2017 Lexical Sememe Prediction via Word Embeddings and Matrix Factorization IJCAI 2017 Life-Stage Modeling by Customer-Manifold Embedding IJCAI 2017 Linking Image and Text With 2-Way Nets CVPR 2017 Link the Head to the "Beak": Zero Shot Learning From Noisy Text Description at Part Precision CVPR 2017