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- Chinese Academy of SciencesCN264 papers
- University of Chinese Academy of SciencesCN114 papers
- University of Science and Technology of ChinaCN18 papers
- Peking UniversityCN14 papers
- Tencent (China)CN13 papers
- Beihang UniversityCN10 papers
- National University of SingaporeSG10 papers
- Tsinghua UniversityCN10 papers
- Microsoft Research Asia (China)CN8 papers
- Peng Cheng LaboratoryCN8 papers
- Institute of Information EngineeringCN6 papers
- Lenovo (China)CN6 papers
80 papers · 1 filter
Cap the Gap: Solving the Egoistic Dilemma under the Transaction Fee-Incentive Bitcoin
Hongwei Shi, Shengling Wang, Qin Hu +2
Bitcoin has witnessed a prevailing transition that employing transaction fees paid by users rather than subsidy assigned by the system as the main incentive for mining.
Dynamic-K Recommendation with Personalized Decision Boundary
Yan Gao, Jiafeng Guo, Yanyan Lan +1
In this paper, we investigate the recommendation task in the most common scenario with implicit feedback (e.g., clicks, purchases). State-of-the-art methods in this direction usual…
Majorized Semi-proximal Alternating Coordinate Method for Nonsmooth Convex-Concave Minimax Optimization
Yu-Hong Dai, Jiani Wang, Liwei Zhang
Minimax optimization problems are an important class of optimization problems arising from modern machine learning and traditional research areas. While there have been many numeri…
Learning content and context with language bias for Visual Question Answering
Chao Yang, Su Feng, Dongsheng Li +3
Visual Question Answering (VQA) is a challenging multimodal task to answer questions about an image. Many works concentrate on how to reduce language bias which makes models answer…
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models
Quan Quan, Qiyuan Wang, Liu Li +2
While medical images such as computed tomography (CT) are stored in DICOM format in hospital PACS, it is still quite routine in many countries to print a film as a transferable med…
Attributes Aware Face Generation with Generative Adversarial Networks
Zheng Yuan, Jie Zhang, Shiguang Shan +1
Recent studies have shown remarkable success in face image generations. However, most of the existing methods only generate face images from random noise, and cannot generate face…