Theory

Computing Equilibria in Binary Networked Public Goods Games AAAI 2020 Computing the Testing Error Without a Testing Set CVPR 2020 Conference on Learning Theory 2020: Preface COLT 2020 Consistency of a Recurrent Language Model With Respect to Incomplete Decoding EMNLP 2020 Context Vectors Are Reflections of Word Vectors in Half the Dimensions (Extended Abstract) IJCAI 2020 Continuous Graph Neural Networks ICML 2020 Controllability of Control Argumentation Frameworks IJCAI 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections JMLR 2020 Convex Calibrated Surrogates for the Multi-Label F-Measure ICML 2020 Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators NeurIPS 2020 Data Amplification: Instance-Optimal Property Estimation ICML 2020 Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics EMNLP 2020 Decidability and Complexity of Action-Based Temporal Planning over Dense Time AAAI 2020 Deciding Acceptance in Incomplete Argumentation Frameworks AAAI 2020 Deductive Module Extraction for Expressive Description Logics IJCAI 2020 Deep Double Descent: Where Bigger Models and More Data Hurt ICLR 2020 Deep Energy-based Modeling of Discrete-Time Physics NeurIPS 2020 Deep Learning for Abstract Argumentation Semantics IJCAI 2020 DeepSphere: a graph-based spherical CNN ICLR 2020 Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness CVPR 2020 DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction IJCAI 2020 Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem ICLR 2020 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks NeurIPS 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020