Representation Learning

Learning Continuous Semantic Representations of Symbolic Expressions ICML 2017 Learning Co-Substructures by Kernel Dependence Maximization IJCAI 2017 Learning Cross-Modal Deep Representations for Robust Pedestrian Detection CVPR 2017 Learning Cross-Modal Embeddings for Cooking Recipes and Food Images CVPR 2017 Learning Deep Semantic Embeddings for Cross-Modal Retrieval ACML 2017 Learning deep structured network for weakly supervised change detection IJCAI 2017 Learning Determinantal Point Processes with Moments and Cycles ICML 2017 Learning Discrete Representations via Information Maximizing Self-Augmented Training ICML 2017 Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation IJCAI 2017 Learning Disentangled Representations with Semi-Supervised Deep Generative Models NeurIPS 2017 Learning Feasibility Constraints for Multicontact Locomotion of Legged Robots RSS 2017 Learning Features by Watching Objects Move CVPR 2017 Learning from Ontology Streams with Semantic Concept Drift IJCAI 2017 Learning Generic Sentence Representations Using Convolutional Neural Networks EMNLP 2017 Learning Hierarchical Features from Deep Generative Models ICML 2017 Learning Infinite Layer Networks Without the Kernel Trick ICML 2017 Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NeurIPS 2017 Learning Language Representations for Typology Prediction EMNLP 2017 Learning Latent Space Models with Angular Constraints ICML 2017 Learning Multiple Tasks with Multilinear Relationship Networks NeurIPS 2017 Learning Neural Representations of Human Cognition across Many fMRI Studies NeurIPS 2017 Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext EMNLP 2017 Learning Sentence Representation with Guidance of Human Attention IJCAI 2017 Learning Shape Abstractions by Assembling Volumetric Primitives CVPR 2017 Learning Similarity Functions for Pronunciation Variations Interspeech 2017