Statistical Learning
NeurIPS_wappendix
For the GP, the bias-variance trade-off is made by optimization of the two hyperparameters: the length scale and noise-term.
Bootstrap Y our Object Detector via Mixed Training
MixTraining is found to bring consistent improvements across various detectors on the COCO dataset.
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Thus, we restrict our search for a constrained clustering approach to the class of deep generative models. Although these models have been successfully used in the unsupervised setting (Jiang et al., 2017; Dilokthanakul et al., 2016), their application to constrained clustering has been under-explored.
A Literature Reviews
Plugging back in (11) yields the ideal result.
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval Hao Li
CUB Captions, and Flickr30K, which are commonly used in cross-modal retrieval. The results show that our approach obtains superior performance over the state-of-the-art approaches on all metrics.
