This paper studies the problem of sentencelevel semantic coherence by answering SATstyle sentence completion questions. These questions test the ability of algorithms to distingui...
Geoffrey Zweig, John C. Platt, Christopher Meek, C...
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
We argue that finding vulnerabilities in software components is different from finding exploits against them. Exploits that compromise security often use several low-level details...
Vinod Ganapathy, Sanjit A. Seshia, Somesh Jha, Tho...
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...