Representation Learning

Learning step sizes for unfolded sparse coding NeurIPS 2019 Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019 Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition Interspeech 2019 Learning the Dyck Language with Attention-based Seq2Seq Models ACL 2019 Learning to Abstract for Memory-augmented Conversational Response Generation ACL 2019 Learning to Adaptively Scale Recurrent Neural Networks AAAI 2019 Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks AAAI 2019 Learning to Augment with Feature Side-information ACML 2019 Learning to Calibrate Straight Lines for Fisheye Image Rectification CVPR 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Decipher Hate Symbols NAACL 2019 Learning to Describe Scenes with Programs ICLR 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs ICML 2019 Learning to Explore Intrinsic Saliency for Stereoscopic Video CVPR 2019 Learning to Infer Implicit Surfaces without 3D Supervision NeurIPS 2019 Learning to Infer Program Sketches ICML 2019 Learning to Learn Image Classifiers With Visual Analogy CVPR 2019 Learning to Learn with Conditional Class Dependencies ICLR 2019 Learning to Localize Objects with Noisy Labeled Instances AAAI 2019 Learning to Localize Through Compressed Binary Maps CVPR 2019 Learning to Make Analogies by Contrasting Abstract Relational Structure ICLR 2019 Learning to Manipulate Object Collections Using Grounded State Representations CoRL 2019 Learning to Match via Inverse Optimal Transport JMLR 2019 Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019