To accelerate the learning of policy gradient methods, we describe a novel off-policy learning framework and establish the equivalence between maximizing the lower bound of return and imitating a near-optimal policy without accessing any oracles.
In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives.
#17 best model for Object Detection on COCO
This paper describes the LIAAD system that was ranked second place in the Word-in-Context challenge (WiC) featured in SemDeep-5.
Business taxonomies are indispensable tools for investors to do equity research and make professional decisions.
The whole network has nearly symmetric architecture, which is mainly composed of a series of factorized convolution unit (FCU) and its parallel counterparts (PFCU).
#5 best model for Real-Time Semantic Segmentation on Cityscapes
We demonstrate the power of CCNs for entropy modeling in both lossless and lossy image compression.
Contextual embeddings represent a new generation of semantic representations learned from Neural Language Modelling (NLM) that addresses the issue of meaning conflation hampering traditional word embeddings.
We achieve this by constructing a densely connected search space and name our method as DenseNAS.
#27 best model for Image Classification on ImageNet
Our model family consists of a latent-variable generative model and a discriminative labeler.