Application Areas

Learning Differentially Private Recurrent Language Models ICLR 2018 Learning Domain Representation for Multi-Domain Sentiment Classification NAACL 2018 Learning Domain-Sensitive and Sentiment-Aware Word Embeddings ACL 2018 Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018 Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation CVPR 2018 Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models NAACL 2018 Learning Memory Access Patterns ICML 2018 Learning Representations for Detecting Abusive Language EMNLP 2018 Learning Rich Features for Image Manipulation Detection CVPR 2018 Learning Robust Rewards with Adverserial Inverse Reinforcement Learning ICLR 2018 Learning Semantic Representations for Unsupervised Domain Adaptation ICML 2018 Learning SMaLL Predictors NeurIPS 2018 Learning Time/Memory-Efficient Deep Architectures With Budgeted Super Networks CVPR 2018 Learning to Adapt Structured Output Space for Semantic Segmentation CVPR 2018 Learning to cluster in order to transfer across domains and tasks ICLR 2018 Learning to Converse with Noisy Data: Generation with Calibration IJCAI 2018 Learning to Optimize Tensor Programs NeurIPS 2018 Learning to Reconstruct Shapes from Unseen Classes NeurIPS 2018 Learning to Segment Every Thing CVPR 2018 LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING ICLR 2018 Learning to Sketch With Shortcut Cycle Consistency CVPR 2018 Learning to Specialize with Knowledge Distillation for Visual Question Answering NeurIPS 2018 Learning To Split and Rephrase From Wikipedia Edit History EMNLP 2018 Learning to Teach ICLR 2018 Learning towards Minimum Hyperspherical Energy NeurIPS 2018