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Theory

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Papers

Deep One-Class Classification ICML 2018 Deep Rewiring: Training very sparse deep networks ICLR 2018 Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons CVPR 2018 Delayed Impact of Fair Machine Learning ICML 2018 Dialog Generation Using Multi-Turn Reasoning Neural Networks NAACL 2018 Dimensionality's Blessing: Clustering Images by Underlying Distribution CVPR 2018 Diminishing Returns Shape Constraints for Interpretability and Regularization NeurIPS 2018 Direct Runge-Kutta Discretization Achieves Acceleration NeurIPS 2018 Distribution-Specific Hardness of Learning Neural Networks JMLR 2018 Do GANs learn the distribution? Some Theory and Empirics ICLR 2018 Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items EMNLP 2018 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Dynamic Dependency Awareness for QBF IJCAI 2018 Early Stopping for Nonparametric Testing NeurIPS 2018 Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions COLING 2018 Egalitarian Committee Scoring Rules IJCAI 2018 Empirical Study of the Topology and Geometry of Deep Networks CVPR 2018 Enhanced-alignment Measure for Binary Foreground Map Evaluation IJCAI 2018 Enhancing Existential Rules by Closed-World Variables IJCAI 2018 Entropy and mutual information in models of deep neural networks NeurIPS 2018 Essentially No Barriers in Neural Network Energy Landscape ICML 2018 Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data COLT 2018 Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements IJCAI 2018 Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value IJCAI 2018 Ex-post IR Dynamic Auctions with Cost-per-Action Payments IJCAI 2018