representation learning

Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes Interspeech 2018 Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis EMNLP 2018 Language Models Learn POS First EMNLP 2018 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 Learning Adversarially Fair and Transferable Representations ICML 2018 Learning and Memorization ICML 2018 Learning Awareness Models ICLR 2018 Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing NAACL 2018 Learning Cross-lingual Distributed Logical Representations for Semantic Parsing ACL 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning Disentangled Representations of Texts with Application to Biomedical Abstracts EMNLP 2018 Learning Domain-Sensitive and Sentiment-Aware Word Embeddings ACL 2018 Learning Dynamics of Linear Denoising Autoencoders ICML 2018 Learning Gender-Neutral Word Embeddings EMNLP 2018 Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization ICLR 2018 Learning Latent Subspaces in Variational Autoencoders NeurIPS 2018 Learning Latent Super-Events to Detect Multiple Activities in Videos CVPR 2018 Learning Personas from Dialogue with Attentive Memory Networks EMNLP 2018 Learning Plannable Representations with Causal InfoGAN NeurIPS 2018 Learning Policy Representations in Multiagent Systems ICML 2018 Learning Pose Specific Representations by Predicting Different Views CVPR 2018 Learning Representations and Generative Models for 3D Point Clouds ICML 2018 Learning Representations for Detecting Abusive Language EMNLP 2018 Learning representations for sentiment classification using Multi-task framework EMNLP 2018 Learning Semantic Concepts and Order for Image and Sentence Matching CVPR 2018