Representation Learning

Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System AAAI 2019 Learning and Data Selection in Big Datasets ICML 2019 Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models JMLR 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Learning Basis Representation to Refine 3D Human Pose Estimations AAAI 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019 Learning Compositional Neural Information Fusion for Human Parsing ICCV 2019 Learning Compositional Representations for Few-Shot Recognition ICCV 2019 Learning Conceptual Spaces with Disentangled Facets CoNLL 2019 Learning concise representations for regression by evolving networks of trees ICLR 2019 Learning Context Graph for Person Search CVPR 2019 Learning Controllable Fair Representations AISTATS 2019 Learning Deep Bilinear Transformation for Fine-grained Image Representation NeurIPS 2019 Learning deep kernels for exponential family densities ICML 2019 Learning deep representations by mutual information estimation and maximization ICLR 2019 Learning Description Logic Concepts: When can Positive and Negative Examples be Separated? IJCAI 2019 Learning Deterministic Weighted Automata with Queries and Counterexamples NeurIPS 2019 Learning Diffusions without Timestamps AAAI 2019 Learning Discrete and Continuous Factors of Data via Alternating Disentanglement ICML 2019 Learning Discrete Structures for Graph Neural Networks ICML 2019 Learning Discriminative Model Prediction for Tracking ICCV 2019 Learning Disentangled Representation for Robust Person Re-identification NeurIPS 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Disentangled Representation with Pairwise Independence AAAI 2019 Learning Disentangled Semantic Representation for Domain Adaptation IJCAI 2019