Optimization

Single Image Optical Flow Estimation With an Event Camera CVPR 2020 Sinkhorn Natural Gradient for Generative Models NeurIPS 2020 SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search IJCAI 2020 Sketching Transformed Matrices with Applications to Natural Language Processing AISTATS 2020 Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network ACL 2020 Smaller, more accurate regression forests using tree alternating optimization ICML 2020 Small-GAN: Speeding up GAN Training using Core-Sets ICML 2020 Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems AAAI 2020 SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization ACL 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020 SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations WACV 2020 Smoothly Bounding User Contributions in Differential Privacy NeurIPS 2020 Smooth markets: A basic mechanism for organizing gradient-based learners ICLR 2020 Smoothness and Stability in GANs ICLR 2020 Smooth Shells: Multi-Scale Shape Registration With Functional Maps CVPR 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 SNODE: Spectral Discretization of Neural ODEs for System Identification ICLR 2020 Soft Threshold Weight Reparameterization for Learnable Sparsity ICML 2020 Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers NeurIPS 2020 Solving Analogies on Words based on Minimal Complexity Transformation IJCAI 2020 Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold AAAI 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 SpanAlign: Sentence Alignment Method based on Cross-Language Span Prediction and ILP COLING 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models AAAI 2020