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Relaxed Softmax for learning from Positive and Unlabeled data

Relaxed Softmax for learning from Positive and Unlabeled data

ACM Conference on Recommender Systems (RecSys), 2019
17 September 2019
Ugo Tanielian
Flavian Vasile
ArXiv (abs)PDFHTML

Papers citing "Relaxed Softmax for learning from Positive and Unlabeled data"

3 / 3 papers shown
Fast Offline Policy Optimization for Large Scale Recommendation
Fast Offline Policy Optimization for Large Scale RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2022
Otmane Sakhi
D. Rohde
Alexandre Gilotte
OffRL
305
5
0
08 Aug 2022
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density EstimationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
239
0
0
11 May 2021
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning
Rethinking Class-Prior Estimation for Positive-Unlabeled LearningInternational Conference on Learning Representations (ICLR), 2020
Yu Yao
Tongliang Liu
Bo Han
Biwei Huang
Gang Niu
Masashi Sugiyama
Dacheng Tao
206
23
0
10 Feb 2020
1
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