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Incorporating GAN for Negative Sampling in Knowledge Representation Learning 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 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 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 Adrián Csiszárik, Beatrix Benkő, Dániel Varga .
Negative Sampling in Variational Autoencoders
Knowledge Graph Embedding by Translating on Hyperplanes 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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