Jiaming Song

According to our database1, Jiaming Song authored at least 24 papers between 2015 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Multi-Agent Generative Adversarial Imitation Learning.
CoRR, 2018

gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing.
CoRR, 2018

The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models.
CoRR, 2018

Adversarial Constraint Learning for Structured Prediction.
CoRR, 2018

An Empirical Analysis of Proximal Policy Optimization with Kronecker-factored Natural Gradients.
CoRR, 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

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
InfoVAE: Information Maximizing Variational Autoencoders.
CoRR, 2017

Towards Deeper Understanding of Variational Autoencoding Models.
CoRR, 2017

Learning Hierarchical Features from Generative Models.
CoRR, 2017

A-NICE-MC: Adversarial Training for MCMC.
CoRR, 2017

On the Limits of Learning Representations with Label-Based Supervision.
CoRR, 2017

Inferring The Latent Structure of Human Decision-Making from Raw Visual Inputs.
CoRR, 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
Max-Margin Nonparametric Latent Feature Models for Link Prediction.
CoRR, 2016

Factored Temporal Sigmoid Belief Networks for Sequence Learning.
CoRR, 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

2015
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation.
CoRR, 2015


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