Deep Learning

Conditional Image-to-Image Translation CVPR 2018 Conditional Noise-Contrastive Estimation of Unnormalised Models ICML 2018 Conditional Probability Models for Deep Image Compression CVPR 2018 Connecting Language and Vision to Actions ACL 2018 Connecting Low-Level Image Processing and High-Level Vision via Deep Learning IJCAI 2018 Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images CVPR 2018 Connecting Supervised and Unsupervised Sentence Embeddings ACL 2018 Connectionist Temporal Classification with Maximum Entropy Regularization NeurIPS 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 Constituency Parsing with a Self-Attentive Encoder ACL 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NeurIPS 2018 Constrained Graph Variational Autoencoders for Molecule Design NeurIPS 2018 Constraining the Dynamics of Deep Probabilistic Models ICML 2018 Constructing Deep Neural Networks by Bayesian Network Structure Learning NeurIPS 2018 Constructing Fast Network through Deconstruction of Convolution NeurIPS 2018 Constructing Unrestricted Adversarial Examples with Generative Models NeurIPS 2018 Content-based Popularity Prediction of Online Petitions Using a Deep Regression Model ACL 2018 Content Explorer: Recommending Novel Entities for a Document Writer EMNLP 2018 Content preserving text generation with attribute controls NeurIPS 2018 Content Selection in Deep Learning Models of Summarization EMNLP 2018 Context and Copying in Neural Machine Translation EMNLP 2018 Context-Aware Deep Feature Compression for High-Speed Visual Tracking CVPR 2018 Context-Aware Neural Machine Translation Learns Anaphora Resolution ACL 2018 Context-Aware Neural Model for Temporal Information Extraction ACL 2018 Context-aware Synthesis and Placement of Object Instances NeurIPS 2018