Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

1 code implementation • 6 Dec 2020 • Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong

To strike a balance in this trade-off, we propose Elapsed-Time Sampling Delayed Feedback Model (ES-DFM), which models the relationship between the observed conversion distribution and the true conversion distribution.

Active Generative Adversarial Network for Image Classification

no code implementations • 17 Jun 2019 • Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, Tomokazu Murakami

Sufficient supervised information is crucial for any machine learning models to boost performance.

Active Learning Classification +3

Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning

no code implementations • CVPR 2019 • Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka

Most studies in zero-shot learning model the relationship, in the form of a classifier or mapping, between features from images of seen classes and their attributes.

Disentanglement Generalized Zero-Shot Learning

Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning

no code implementations • WS 2018 • Giovanni Yoko Kristianto, Huiwen Zhang, Bin Tong, Makoto Iwayama, Yoshiyuki Kobayashi

Solving composites tasks, which consist of several inherent sub-tasks, remains a challenge in the research area of dialogue.

Hierarchical Reinforcement Learning reinforcement-learning +2