Technology
Multivariate Time Series Imputation with Generative Adversarial Networks
Yonghong Luo, Xiangrui Cai, Ying ZHANG, Jun Xu, Yuan xiaojie
Neural Information Processing Systems http://nips.cc/
LearningBeamSearchPoliciesviaImitation Learning
Beam search is widely used for approximate decoding in structured prediction problems. Models often use a beam at test time but ignore its existence at train time, and therefore do not explicitly learn how to use the beam.
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Yujiao Shi, Liu Liu, Xin Yu, Hongdong Li
Existing deep methods overlook those appearance and geometric differences, and instead use a brute force training procedure, leading to inferior performance.
Training Deep Models Faster with Robust, Approximate Importance Sampling
Tyler B. Johnson, Carlos Guestrin
Neural Information Processing Systems http://nips.cc/
