Technology
Can Unconditional Language Models Recover Arbitrary Sentences?
Nishant Subramani, Samuel Bowman, Kyunghyun Cho
Neural Information Processing Systems http://nips.cc/
A Unified Interface to Multiple Human Trajectory
Research in trajectory forecasting (i.e., predicting where an agent will be in the future) has grown
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
Neural Information Processing Systems http://nips.cc/
ErrorCompensatedDistributedSGD canbeAccelerated
In this work, we show for the first time that error compensated gradient compression methods can be accelerated. In particular, we propose and study the error compensated loopless Katyusha method, and establish an accelerated linear convergence rate under standard assumptions.
48aedb8880cab8c45637abc7493ecddd-AuthorFeedback.pdf
Infact,ourexperiments are35 designed todemonstrate thatthevGraph frameworkenables community detection andnode representation learning36 to benefit one other, not to prove that it outperforms all existing studies. Therefore, we decided to choose certain37 representativemethods(i.e.,matrixfactorization-based methods,generativemodels,andK-Meansafternodeembed-38 dings) which help validate this point. We will discuss more studies in the revised draft.(2)AboutchoosingK. In39 practice, when the trueK is not given, we can still chooseK according to the performance on validation set (as in40 [14,36]).
