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Results for: Truyen Tran

Neural Stored-program Memory

H. Le, T. Tran, S. Venkatesh

2020 / ICLR

Lessons Learned from Using a Deep Tree-Based Model for Software Defect Prediction in Practice

H. Dam, T. Pham, S. Ng, T. Tran, J. Grundy, A. Ghose, T. Kim, C. Kim

2019 / pp. 46 - 57 / 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

Theory and Evaluation Metrics for Learning Disentangled Representations

K. Do, T. Tran

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Neural Stored-Program Memory

H. Le, T. Tran, S. Venkatesh

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Learning to Remember More with Less Memorization

H. Le, T. Tran, S. Venkatesh

2019 / pp. (Accepted 21 Dec 2018) / International Conference on Learning Representations (ICLR)

Improving Generalization and Stability of Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2019 / pp. (Accepted 21 Dec 2018) / International Conference on Learning Representations (ICLR)

Graph Transformation Policy Network for Chemical Reaction Prediction

K. Do, T. Tran, S. Venkatesh

2019 / pp. (Accepted 30 Apr 2019) / Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Learning regularity in skeleton trajectories for anomaly detection in videos

R. Morais, V. Le, T. Tran, B. Saha, M. Mansour, S. Venkatesh

2019 / IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Attentional multilabel learning over graphs: a message passing approach

K. Do, T. Tran, T. Nguyen, S. Venkatesh

2019 / pp. 1 - 25 / Machine Learning

Dual control memory augmented neural networks for treatment recommendations

H. Le, T. Tran, S. Venkatesh

2018 / pp. 273 - 284 / Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

H. Le, T. Tran, S. Venkatesh

2018 / pp. 1637 - 1645 / SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

On catastrophic forgetting and mode collapse in Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2018 / ICML Workshop on Theoretical Foundations and Applications of Deep Generative Models

Predicting delivery capability in iterative software development

M. Choetkiertikul, H. Dam, T. Tran, A. Ghose, J. Grundy

2018 / Vol. 44, pp. 551 - 573 / IEEE Transactions on Software Engineering

Knowledge Graph Embedding with Multiple Relation Projections

K. Do, T. Tran, S. Venkatesh

2018 / pp. 332 - 337 / International Conference on Pattern Recognition (ICPR)

Explainable software analytics

H. Dam, T. Tran, A. Ghose

2018 / pp. 53 - 56 / Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results

Graph Memory Networks for Molecular Activity Prediction

T. Pham, T. Tran, S. Venkatesh

2018 / pp. 639 - 644 / International Conference on Pattern Recognition (ICPR)

Predicting components for issue reports using deep learning with information retrieval

M. Choetkiertikul, H. Dam, T. Tran, T. Pham, A. Ghose

2018 / pp. 244 - 245 / Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings

A deep learning model for estimating story points

M. Choetkiertikul, H. Dam, T. Tran, T. Pham, A. Ghose, T. Menzies

2018 / IEEE Transactions on Software Engineering

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

2018 / Vol. 57, pp. 413 - 435 / Knowledge and Information Systems

Automatic feature learning for predicting vulnerable software components

H. Dam, T. Tran, T. Pham, S. Ng, J. Grundy, A. Ghose

2018 / IEEE Transactions on Software Engineering