Dr Hung Le

Make the Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback

D Nguyen, N Nghiem, B Nguyen, D Le, S Sabahi, M Nguyen, H Le

(2022), pp. 1919-1930, NAACL 2022 : Findings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, Washington, E1

A New Representation of Successor Features for Transfer across Dissimilar Environments

Majid Abdolshah, Hung Le, Thommen George, Sunil Gupta, Santu Rana, Svetha Venkatesh

(2021), Vol. 139, pp. 1-14, ICML 2021 : Proceedings of the International Conference of Machine Learning, Virtual Conference, E1

LODENet: A Holistic Approach to Offline Handwritten Chinese and Japanese Text Line Recognition

Huu-Tin Hoang, Chun-Jen Peng, Vinh Hung, Hung Le, Hoang Huy

(2021), pp. 4813-4820, ICPR 2019: Putting Artificial Intelligence to Work on Patterns : Proceedings of the 25th Pattern Recognition 2021 International Conference, Milan, Italy, E1

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System

A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta

(2021), Vol. 13121, pp. 19-33, ICSOC 2021 : Proceedings of the 19th Service-Oriented Computing Iternational Computing, Virtual Event, E1

Robust Deep Reinforcement Learning for Extractive Legal Summarization

D Nguyen, B Nguyen, N Nghiem, D Le, M Khatun, M Nguyen, H Le

(2021), pp. 597-604, ICONIP 2018: Proceedings of the Neural Information Processing Conference, Sanur, Bali, Indonesia, E1

Neural Stored-program Memory

Hung Le, Truyen Tran, Svetha Venkatesh

(2020), pp. 1-27, ICLR 2020 : Proceedings of the 8th International Conference on Learning Representations, Virtual Conference, Ethiopia, E1

Self-Attentive associative memory

H Le, T Tran, S Venkatesh

(2020), pp. 5638-5647, ICML 2020 : Proceedings of the 37th International Conference on Machine Learning, Online, E1

Learning to remember more with less memorization

H Le, T Tran, S Venkatesh

(2019), ICLR 2019: Proceedings of the 7th International Conference on Learning Representations, New Orleans, Louisiana, E1

Dual control memory augmented neural networks for treatment recommendations

H Le, T Tran, S Venkatesh

(2018), Vol. 10939, pp. 273-284, PAKDD 2018 : Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Vic., E1

Dual memory neural computer for asynchronous two-view sequential learning

Hung Le, Truyen Tran, Svetha Venkatesh

(2018), pp. 1637-1645, ACM SIGKDD 2018 : Proceedings of the 24th International Conference on Knowledge Discovery & Data Mining, London, England, E1

Variational Memory Encoder-Decoder

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

(2018), Vol. [31], pp. 1515-1525, NeurIPS 2018 : Proceedings of the Advances in Neural Information Processing Systems Annual Conference, Montreal, Canada, E1