3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021

Сингапур

10 августа14 августа 2021

Форма участия: Дистанционная

Срок подачи заявок: 10.05.2021

Организаторы: KDD2021 Virtual Conference

emal: [email protected]; [email protected]

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Topics include but are not limited to deep learning based network architecture design, large scale deep learning training framework, high-performance online inference engine or toolkits that help breaking the black box of deep learning models, such as
Large Scale User Response Prediction Modeling
Representation Learning for High-dimensional Sparse Data
Embedding techniques, manifold learning and dictionary learning
User Behaviour Understanding
Large Scale Recommendation and Retrieval System
Model compressionfor industrial application
Scalable, Distributed and Parallel Training Systemfor Deep Learning
High throughput and low latency real time Serving System
Applications of transfer learning, meta learning for sparse data
Auto Machine Learning, Auto feature selection
Explainable deep learning for high dimensional data
Data augmentation, Anomaly Detection for High-dimensional Sparse data
Generative Adversarial Network for sparse data
Other challenges encounteredin real-world applications

For all the accepted paper, we provide the option that it could be archived in ACM Digtal Library. You may see the publication of our first workshop at https://dl.acm.org/doi/proceedings/10.1145/3326937

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