Jiaming Song

According to our database1, Jiaming Song authored at least 14 papers between 2016 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Malicious behaviour classification in web logs based on an improved Xgboost algorithm.
Int. J. Web Eng. Technol., 2018

Learning with Weak Supervision from Physics and Data-Driven Constraints.
AI Magazine, 2018

MapSQ: A Plugin-based MapReduce Framework for SPARQL Queries on GPU.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

A Lagrangian Perspective on Latent Variable Generative Models.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Bias and Generalization in Deep Generative Models: An Empirical Study.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Agent Generative Adversarial Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Constraint Learning for Structured Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Accelerating Natural Gradient with Higher-Order Invariance.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
A-NICE-MC: Adversarial Training for MCMC.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Hierarchical Features from Deep Generative Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

SPARQL Query Parallel Processing: A Survey.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
Factored Temporal Sigmoid Belief Networks for Sequence Learning.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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