representation learning

Medical Concept Embedding with Multiple Ontological Representations IJCAI 2019 Medical Concept Representation Learning from Multi-source Data IJCAI 2019 MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation ACL 2019 MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition CVPR 2019 Meta-Learning Representations for Continual Learning NeurIPS 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 Metamers of neural networks reveal divergence from human perceptual systems NeurIPS 2019 Metric Learning for Adversarial Robustness NeurIPS 2019 MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering EMNLP 2019 Minimal Achievable Sufficient Statistic Learning ICML 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mixup Learning Strategies for Text-Independent Speaker Verification Interspeech 2019 Modeling Paths for Explainable Knowledge Base Completion ACL 2019 Modeling performance differences on cognitive tests using LSTMs and skip-thought vectors trained on reported media consumption. NAACL 2019 Modeling Semantic Compositionality with Sememe Knowledge ACL 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning JMLR 2019 MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding ACL 2019 Multi-Granularity Representations of Dialog EMNLP 2019 Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations EMNLP 2019 Multiple Instance Learning for ECG Risk Stratification MLHC 2019 Multi-Source Neural Variational Inference AAAI 2019 Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2019 Multi-View Multi-Label Learning with View-Specific Information Extraction IJCAI 2019 Multi-View Multiple Clustering IJCAI 2019 Multi-view Spectral Clustering Network IJCAI 2019