Representation Learning

Learning and Communicating the Latent States of Human-Machine Collaboration IJCAI 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning and Memorization ICML 2018 Learning and Modeling Unit Embeddings for Improving HMM-based Unit Selection Speech Synthesis Interspeech 2018 Learning Awareness Models ICLR 2018 Learning Better Internal Structure of Words for Sequence Labeling EMNLP 2018 Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing NAACL 2018 Learning Binary Latent Variable Models: A Tensor Eigenpair Approach ICML 2018 Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition Interspeech 2018 Learning Conditioned Graph Structures for Interpretable Visual Question Answering NeurIPS 2018 Learning Context-Sensitive Convolutional Filters for Text Processing EMNLP 2018 Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018 Learning Cross-lingual Distributed Logical Representations for Semantic Parsing ACL 2018 Learning Decision Trees with Stochastic Linear Classifiers ALT 2018 Learning Deep Descriptors With Scale-Aware Triplet Networks CVPR 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning Deep Sketch Abstraction CVPR 2018 Learning Deep Unsupervised Binary Codes for Image Retrieval IJCAI 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Diachronic Analogies to Analyze Concept Change COLING 2018 Learning Diffusion using Hyperparameters ICML 2018 Learning Discriminative Features for Speaker Identification and Verification Interspeech 2018 Learning Disentangled Joint Continuous and Discrete Representations NeurIPS 2018 Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018 Learning Distributional Token Representations from Visual Features ACL 2018