Application Areas

Learning Binary Code for Personalized Fashion Recommendation CVPR 2019 Learning by Cheating CoRL 2019 Learning Channel-Wise Interactions for Binary Convolutional Neural Networks CVPR 2019 Learning Classifiers for Target Domain with Limited or No Labels ICML 2019 Learning Compact Model for Large-Scale Multi-Label Data AAAI 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019 Learning Controllable Fair Representations AISTATS 2019 Learning Data Manipulation for Augmentation and Weighting NeurIPS 2019 Learning Disentangled Semantic Representation for Domain Adaptation IJCAI 2019 Learning Dynamic Context Augmentation for Global Entity Linking EMNLP 2019 LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019 Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019 Learning Filter Basis for Convolutional Neural Network Compression ICCV 2019 Learning From Synthetic Data for Crowd Counting in the Wild CVPR 2019 Learning Fully Dense Neural Networks for Image Semantic Segmentation AAAI 2019 Learning GANs and Ensembles Using Discrepancy NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019 Learning Generative Models across Incomparable Spaces ICML 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NeurIPS 2019 Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019 Learning Lightweight Lane Detection CNNs by Self Attention Distillation ICCV 2019 Learning Low-precision Neural Networks without Straight-Through Estimator (STE) IJCAI 2019 Learning Metrics From Teachers: Compact Networks for Image Embedding CVPR 2019