- Incorporating GAN for Negative Sampling in Knowledge Representation Learning [AAAI 2018] Peifeng Wang, Shuangyin Li, Rong pan.
- using GAN to generate high-quantity negative sample.
- view origin model as reward
- NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding [ICDE 2019] Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen.
- Using one dynamical strategy replace GAN to reduce vanishing gradient problem.
- VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling [AAAI 2018] Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang.
- Dynamic Sampler to reduce the sample time in the later training period.
- Negative Sampling in Variational Autoencoders [-] Adri谩n Csisz谩rik, Beatrix Benk艖, D谩niel Varga.
- Negative Sampling in Variational Autoencoders
- Knowledge Graph Embedding by Translating on Hyperplanes [AAAI 2014] Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen.
- Motivation: There are many-to-many pair in Entity Linking Problem.
- 1.h+r-t => project in hyperplanes.
- 2.Bernoulli Sample when dicide which entity will be replace (head or tail). reduce the probability of which entity is multi-label.
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