Representation Learning

Lovasz Convolutional Networks AISTATS 2019 Low-Bit Quantization for Attributed Network Representation Learning IJCAI 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction AISTATS 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data EMNLP 2019 Low-Resource Response Generation with Template Prior EMNLP 2019 LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories ACL 2019 LXMERT: Learning Cross-Modality Encoder Representations from Transformers EMNLP 2019 MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction ACL 2019 Machine Translation for Machines: the Sentiment Classification Use Case EMNLP 2019 MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders ICLR 2019 (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas EMNLP 2019 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019 Manifold-regression to predict from MEG/EEG brain signals without source modeling NeurIPS 2019 MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment CVPR 2019 Mapping State Space using Landmarks for Universal Goal Reaching NeurIPS 2019 Marginal Inference in Continuous Markov Random Fields Using Mixtures AAAI 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Markov Random Fields for Collaborative Filtering NeurIPS 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network IJCAI 2019 Matrix Completion in the Unit Hypercube via Structured Matrix Factorization IJCAI 2019 Meaning to Form: Measuring Systematicity as Information ACL 2019 MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization ICML 2019 Measuring and Modeling Language Change NAACL 2019 Measuring Bias in Contextualized Word Representations ACL 2019 Measuring Compositionality in Representation Learning ICLR 2019