Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data.

Jie Yang|Alisa Smirnova|Dingqi Yang|Gianluca Demartini|Yuan Lu|Philippe Cudré-Mauroux


Anthology ID:DBLP:conf/www/YangSYDLC19
Volume:The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
Year:2019
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2158-2168
URL:https://doi.org/10.1145/3308558.3313599
DOI:https://doi.org/10.1145/3308558.3313599
DBLP:conf/www/YangSYDLC19
BibTeX:
@inproceedings{yang-2019-scalpelcd, author = {Jie Yang and Alisa Smirnova and Dingqi Yang and Gianluca Demartini and Yuan Lu and Philippe Cudr\'{e}-Mauroux}, editor = {Ling Liu and Ryen W. White and Amin Mantrach and Fabrizio Silvestri and Julian J. McAuley and Ricardo Baeza-Yates and Leila Zia}, title = {{Scalpel-CD: Leveraging Crowdsourcing and Deep Probabilistic Modeling for Debugging Noisy Training Data}}, booktitle = {{The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019}}, pages = {2158--2168}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3308558.3313599}, doi = {https://doi.org/10.1145/3308558.3313599} }