DisenCDR

Author:

Cao Jiangxia1,Lin Xixun1,Cong Xin1,Ya Jing1,Liu Tingwen1,Wang Bin2

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Xiaomi Inc., Beijing, China

Funder

National Key Research and Development Program of China

Strategic Priority Research Program of Chinese Academy of Sciences

Youth Innovation Promotion Association of CAS

Publisher

ACM

Reference63 articles.

1. Alexander A Alemi , Ian Fischer , Joshua V Dillon , and Kevin Murphy . 2017 . Deep Variational Information Bottleneck. In International Conference on Learning Representations (ICLR). Alexander A Alemi, Ian Fischer, Joshua V Dillon, and Kevin Murphy. 2017. Deep Variational Information Bottleneck. In International Conference on Learning Representations (ICLR).

2. Jiangxia Cao , Xixun Lin , Xin Cong , Shu Guo , Hengzhu Tang , Tingwen Liu , and Bin Wang . 2021 a . Deep Structural Point Process for Learning Temporal Interaction Networks. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD). Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, and Bin Wang. 2021 a. Deep Structural Point Process for Learning Temporal Interaction Networks. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD).

3. Bipartite Graph Embedding via Mutual Information Maximization

4. Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

5. Ricky TQ Chen , Xuechen Li , Roger Grosse , and David Duvenaud . 2018 . Isolating Sources of Disentanglement in Variational Autoencoders. In Annual Conference on Neural Information Processing Systems (NeurIPS). Ricky TQ Chen, Xuechen Li, Roger Grosse, and David Duvenaud. 2018. Isolating Sources of Disentanglement in Variational Autoencoders. In Annual Conference on Neural Information Processing Systems (NeurIPS).

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