Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Publication
, Conference
Guo, W; Huang, S; Tao, Y; Xing, X; Lin, L
Published in: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018)
2018
Duke Scholars
Published In
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018)
ISSN
1049-5258
Publication Date
2018
Volume
31
Related Subject Headings
- 4611 Machine learning
- 1702 Cognitive Sciences
- 1701 Psychology
Citation
APA
Chicago
ICMJE
MLA
NLM
Guo, W., Huang, S., Tao, Y., Xing, X., & Lin, L. (2018). Explaining Deep Learning Models - A Bayesian Non-parametric Approach. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018) (Vol. 31).
Guo, Wenbo, Sui Huang, Yunzhe Tao, Xinyu Xing, and Lin Lin. “Explaining Deep Learning Models - A Bayesian Non-parametric Approach.” In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), Vol. 31, 2018.
Guo W, Huang S, Tao Y, Xing X, Lin L. Explaining Deep Learning Models - A Bayesian Non-parametric Approach. In: ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). 2018.
Guo, Wenbo, et al. “Explaining Deep Learning Models - A Bayesian Non-parametric Approach.” ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), vol. 31, 2018.
Guo W, Huang S, Tao Y, Xing X, Lin L. Explaining Deep Learning Models - A Bayesian Non-parametric Approach. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). 2018.
Published In
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018)
ISSN
1049-5258
Publication Date
2018
Volume
31
Related Subject Headings
- 4611 Machine learning
- 1702 Cognitive Sciences
- 1701 Psychology