Publications


Filters:


Results for: Truyen Tran

Goal-driven Long-Term Trajectory Prediction

H. Tran, V. Le, T. Tran

2021 / pp. 796 - 805 / Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

K. Do, T. Tran, S. Venkatesh

2021 / AAAI

Self-Attentive Associative Memory

H. Le, T. Tran, S. Venkatesh

2020 / pp. 5682 - 5691 / Proceedings of the 37th International Conference on Machine Learning (ICML)

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

T. Karimpanal, S. Rana, S. Gupta, T. Tran, S. Venkatesh

2020 / Proceedings of the International Joint Conference on Neural Networks (IJCNN)

Learning to Abstract and Predict Human Actions

R. Morais, V. Le, T. Tran, S. Venkatesh

2020 / Proceedings of the The British Machine Vision Conference (BMVC)

Dynamic Language Binding in Relational Visual Reasoning

T. Le, V. Le, S. Venkatesh, T. Tran

2020 / 39th International Joint Conference on Artificial Intelligence (IJCAI)

Neural Reasoning, Fast and Slow, for Video Question Answering

T. Le, V. Le, S. Venkatesh, T. Tran

2020 / International Joint Conference on Neural Networks (IJCNN)

Hierarchical Conditional Relation Networks for Video Question Answering

T. Le, V. Le, S. Venkatesh, T. Tran

2020 / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Neural Stored-program Memory

H. Le, T. Tran, S. Venkatesh

2020 / ICLR

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

D. Nguyen, S. Venkatesh, P. Nguyen, T. Tran

2020 / pp. 33 - 48 / Asian Conference on Machine Learning

DeepTRIAGE: Interpretable and Individualised Biomarker Scores Using Attention Mechanism for the Classification of Breast Cancer Sub-Types

A. Beykikhoshk, T. P. Quinn, S. C. Lee, T. Tran, S. Venkatesh

2020 / Vol. 13, pp. 1 - 10 / BMC medical genomics

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Precision Psychiatry with Immunological and Cognitive Biomarkers: A Multi-Domain Prediction for the Diagnosis of Bipolar Disorder or Schizophrenia Using Machine Learning

B. S. Fernandes, C. Karmakar, R. Tamouza, T. Tran, J. Yearwood, N. Hamdani, H. Laouamri, J. Richard, R. Yolken, M. Berk, O.

2020 / Vol. 10, pp. 1 - 13 / Translational psychiatry

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction

T. Minh, T. Nguyen, T. Minh, T. Tran

2020 / Proceedings of the NeurIPS Workshop on Machine Learning for Structural Biology

Toward a Generalization Metric for Deep Generative Models

H. Thanh-Tung, T. Tran

2020 / ''I Can't Believe It's Not Better!''NeurIPS 2020 workshop

Learning to Reason with Relational Video Representation for Question Answering

T. Le, V. Le, S. Venkatesh, T. Tran

2020 / The 2020 International Joint Conference on Neural Networks - in Press Accepted 21 March 2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. Dam, S. Venkatesh

2020 / NeurIPS 2020 Workshop on Meta-Learning

Object-Centric Relational Reasoning for Video Question Answering

L. Dang, T. Le, V. Le, T. Tran

2020 / pp. XXX / Video Turing Test: Toward Human-Level Video Story Understanding 2020 (ECCV 2020)

On catastrophic forgetting and mode collapse in Generative Adversarial Networks

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

2020 / IJCNN