Search Results for author: Quanbin Ma

Found 3 papers, 1 papers with code

A Web Scale Entity Extraction System

no code implementations Findings (EMNLP) 2021 Xuanting Cai, Quanbin Ma, Pan Li, Jianyu Liu, Qi Zeng, Zhengkan Yang, Pushkar Tripathi

Understanding the semantic meaning of content on the web through the lens of entities and concepts has many practical advantages.

CMU DeepLens: Deep Learning For Automatic Image-based Galaxy-Galaxy Strong Lens Finding

1 code implementation8 Mar 2017 Francois Lanusse, Quanbin Ma, Nan Li, Thomas E. Collett, Chun-Liang Li, Siamak Ravanbakhsh, Rachel Mandelbaum, Barnabas Poczos

We find on our simulated data set that for a rejection rate of non-lenses of 99%, a completeness of 90% can be achieved for lenses with Einstein radii larger than 1. 4" and S/N larger than 20 on individual $g$-band LSST exposures.

Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies

Deep Restricted Boltzmann Networks

no code implementations15 Nov 2016 Hengyuan Hu, Lisheng Gao, Quanbin Ma

The most famous ones among them are deep belief network, which stacks multiple layer-wise pretrained RBMs to form a hybrid model, and deep Boltzmann machine, which allows connections between hidden units to form a multi-layer structure.

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