Optimization

Optimization and Evaluation of an Intelligibility-Improving Signal Processing Approach (IISPA) for the Hurricane Challenge 2.0 with FADE Interspeech 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020 Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020 Pruning from Scratch AAAI 2020 Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT AAAI 2020 Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks OSDI 2020 Random Reshuffling is Not Always Better NeurIPS 2020 Regularized linear autoencoders recover the principal components, eventually NeurIPS 2020 Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020 Reinforcing Neural Network Stability with Attractor Dynamics AAAI 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Rotated Binary Neural Network NeurIPS 2020 RTN: Reparameterized Ternary Network AAAI 2020 Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020 Scale-Space Flow for End-to-End Optimized Video Compression CVPR 2020 ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020 Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract) AAAI 2020 Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Semantic Correspondence as an Optimal Transport Problem CVPR 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020 SGD Learns One-Layer Networks in WGANs ICML 2020