Co-occurring keywords · papers mentioning both
Papers
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
IJCAI 2019
Practical Full Resolution Learned Lossless Image Compression
CVPR 2019
Static Automatic Batching In TensorFlow
ICML 2019
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
JMLR 2018
Named Entity Recognition With Parallel Recurrent Neural Networks
ACL 2018
RLlib: Abstractions for Distributed Reinforcement Learning
ICML 2018
DOPE: Distributed Optimization for Pairwise Energies
CVPR 2017
Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads
NSDI 2017
Parallel Multiscale Autoregressive Density Estimation
ICML 2017
Parallel Streaming Wasserstein Barycenters
NeurIPS 2017
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care
NeurIPS 2015
Realtime Edge-Based Visual Odometry for a Monocular Camera
ICCV 2015
Distributed and Adaptive Darting Monte Carlo through Regenerations
AISTATS 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
NeurIPS 2013
Entangled Monte Carlo
NeurIPS 2012
GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression
JMLR 2012