Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation.

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[DOI]

Yuxuan Song

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Meta-Inverse Reinforcement Learning with Probabilistic Context Variables.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Lipschitz Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Multi-Agent Adversarial Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Lantao Yu

Jiaming Song

Stefano Ermon

Proceedings of the 36th International Conference on Machine Learning, 2019

CoT: Cooperative Training for Generative Modeling of Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Accurate Edge Location Identification Based on Location-Directed Image Modeling.

[BibT_eX]

[DOI]

Lantao Yu

Michael T. Orchard

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation.

[BibT_eX]

[DOI]

Lantao Yu

Michael T. Orchard

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Single Image Interpolation Exploiting Semi-local Similarity.

[BibT_eX]

[DOI]

Lantao Yu

Michael T. Orchard

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Reinforcement Learning for Green Security Games with Real-Time Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis.

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[DOI]

CoRR, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.

[BibT_eX]

[DOI]

Swaminathan Gurumurthy

CoRR, 2018

CoT: Cooperative Training for Generative Modeling.

[BibT_eX]

[DOI]

CoRR, 2018

Location-Directed Image Modeling and its Application to Image Interpolation.

[BibT_eX]

[DOI]

Lantao Yu

Michael T. Orchard

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.

[BibT_eX]

[DOI]

Swaminathan Gurumurthy

Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

A Study of AI Population Dynamics with Million-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deep Reinforcement Learning for Green Security Game with Online Information.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.

[BibT_eX]

[DOI]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Lantao Yu

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