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Papers (including subtopics)

mixup: Beyond Empirical Risk Minimization ICLR 2018 Model-Agnostic Private Learning NeurIPS 2018 Modeling "Presentness" of Electronic Health Record Data to Improve Patient State Estimation MLHC 2018 Modeling Sparse Deviations for Compressed Sensing using Generative Models ICML 2018 Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NeurIPS 2018 Modern Neural Networks Generalize on Small Data Sets NeurIPS 2018 Modular Proximal Optimization for Multidimensional Total-Variation Regularization JMLR 2018 Monotonic Chunkwise Attention ICLR 2018 More Adaptive Algorithms for Adversarial Bandits COLT 2018 More Robust Doubly Robust Off-policy Evaluation ICML 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 Multi-Agent Election-Based Hyper-Heuristics IJCAI 2018 Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization NeurIPS 2018 Multi-armed Bandits with Compensation NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018 Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization Interspeech 2018 Multi-frame Quantization of LSF Parameters Using a Deep Autoencoder and Pyramid Vector Quantizer Interspeech 2018 Multi-Head Attention with Disagreement Regularization EMNLP 2018 Multi-Image Semantic Matching by Mining Consistent Features CVPR 2018 Multi-level Residual Networks from Dynamical Systems View ICLR 2018 Multilingual Deep Neural Network Training Using Cyclical Learning Rate Interspeech 2018 Multinomial Logit Bandit with Linear Utility Functions IJCAI 2018 Multi-Objective Analysis of Ridesharing in Automated Mobility-on-Demand RSS 2018 Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018