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Theory

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Papers

Dataplane equivalence and its applications NSDI 2019 Deep Dominance - How to Properly Compare Deep Neural Models ACL 2019 Deep Generalized Method of Moments for Instrumental Variable Analysis NeurIPS 2019 Deep ReLU Networks Have Surprisingly Few Activation Patterns NeurIPS 2019 Deep Scale-spaces: Equivariance Over Scale NeurIPS 2019 Deep, Skinny Neural Networks are not Universal Approximators ICLR 2019 Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces IJCAI 2019 Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019 Determinantal Point Processes for Coresets JMLR 2019 Determining Solvability in the Birds of a Feather Card Game AAAI 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019 Differentiable reservoir computing JMLR 2019 Diffusion Scattering Transforms on Graphs ICLR 2019 Dimensionality reduction: theoretical perspective on practical measures NeurIPS 2019 Dimension-Free Error Bounds from Random Projections AAAI 2019 Dimensions of Prosodic Prominence in an Attractor Model Interspeech 2019 Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms IJCAI 2019 Discrepancy, Coresets, and Sketches in Machine Learning COLT 2019 Disentangling Adversarial Robustness and Generalization CVPR 2019 Does Data Augmentation Lead to Positive Margin? ICML 2019 DoubleLex Revisited and Beyond IJCAI 2019 Doubly-Competitive Distribution Estimation ICML 2019 DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs NAACL 2019 Dynamical Isometry is Achieved in Residual Networks in a Universal Way for any Activation Function AISTATS 2019 EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP 2019