parallel computing

Accelerating Reinforcement Learning through GPU Atari Emulation NeurIPS 2020 A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020 AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network EMNLP 2020 AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020 Ddo, a Generic and Efficient Framework for MDD-Based Optimization IJCAI 2020 Fast MSER CVPR 2020 Incremental Symmetry Breaking Constraints for Graph Search Problems AAAI 2020 Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search ICLR 2020 What if Neural Networks had SVDs? NeurIPS 2020 Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019 GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism NeurIPS 2019 Highly Parallelized Data-Driven MPC for Minimal Intervention Shared Control RSS 2019 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018 Decoupling the Layers in Residual Networks ICLR 2018 Distributing Frank-Wolfe via Map-Reduce IJCAI 2018 Efficient Large-Scale Approximate Nearest Neighbor Search on OpenCL FPGA CVPR 2018 Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks ICML 2018 High Performance Zero-Memory Overhead Direct Convolutions ICML 2018 On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018 Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification JMLR 2018 Parallel Probabilistic Inference by Weighted Model Counting PGM 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018 APUNet: Revitalizing GPU as Packet Processing Accelerator NSDI 2017