representation learning

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019 Distributional Semantics Meets Multi-Label Learning AAAI 2019 Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection CVPR 2019 DM2C: Deep Mixed-Modal Clustering NeurIPS 2019 Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019 Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja EMNLP 2019 DSINE: Deep Structural Influence Learning via Network Embedding AAAI 2019 Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification IJCAI 2019 Dyr Bul Shchyl. Proxying Sound Symbolism With Word Embeddings NAACL 2019 DyRep: Learning Representations over Dynamic Graphs ICLR 2019 Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network NeurIPS 2019 Embedding Imputation with Grounded Language Information ACL 2019 EMI: Exploration with Mutual Information ICML 2019 Employing Deep Part-Object Relationships for Salient Object Detection ICCV 2019 Encouraging Paragraph Embeddings to Remember Sentence Identity Improves Classification ACL 2019 End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization CVPR 2019 End to end learning and optimization on graphs NeurIPS 2019 End-to-End Learning of Representations for Asynchronous Event-Based Data ICCV 2019 Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019 Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation Interspeech 2019 Ensemble Deep Manifold Similarity Learning Using Hard Proxies CVPR 2019 Estimating Information Flow in Deep Neural Networks ICML 2019 Estimation of Non-Normalized Mixture Models AISTATS 2019 Evaluating Protein Transfer Learning with TAPE NeurIPS 2019