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Papers (including subtopics)

Minimal Achievable Sufficient Statistic Learning ICML 2019 Minimal Sample Subspace Learning: Theory and Algorithms JMLR 2019 Minimal Variance Sampling in Stochastic Gradient Boosting NeurIPS 2019 Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019 Minimizers of the Empirical Risk and Risk Monotonicity NeurIPS 2019 Minimum Volume Topic Modeling AISTATS 2019 Mining Discourse Markers for Unsupervised Sentence Representation Learning NAACL 2019 Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019 Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding Interspeech 2019 Mining Tweets that refer to TV programs with Deep Neural Networks EMNLP 2019 MIPT System for World-Level Quality Estimation ACL 2019 MiSC: Mixed Strategies Crowdsourcing IJCAI 2019 Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption NeurIPS 2019 Misspelling Oblivious Word Embeddings NAACL 2019 Mitigating Gender and L1 Differences to Improve State and Trait Recognition Interspeech 2019 Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach CVPR 2019 Mitigating Uncertainty in Document Classification NAACL 2019 Mixture Content Selection for Diverse Sequence Generation EMNLP 2019 Mixture Density Generative Adversarial Networks CVPR 2019 Mixture-Kernel Graph Attention Network for Situation Recognition ICCV 2019 Mixture Models for Diverse Machine Translation: Tricks of the Trade ICML 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 Mixup Learning Strategies for Text-Independent Speaker Verification Interspeech 2019 MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction IJCAI 2019 MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction CVPR 2019