Bayesian Policy Gradients via Alpha Divergence Dropout Inference. - Peter Henderson 002; Thang Doan; Riashat Islam; David Meger (CoRR, 2017)

Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets. - Thang Doan; Neil Veira; Brian Keng (ICDM Workshops, 2018)

EmojiGAN: learning emojis distributions with a generative model. - Bogdan Mazoure; Thang Doan; Saibal Ray (WASSA@EMNLP, 2018)

GAN Q-learning. - Thang Doan; Bogdan Mazoure; Clare Lyle (CoRR, 2018)

Online Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (CoRR, 2018)

On-Line Adaptative Curriculum Learning for GANs. - Thang Doan; João Monteiro 002; Isabela Albuquerque; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (AAAI, 2019)

Leveraging exploration in off-policy algorithms via normalizing flows. - Bogdan Mazoure; Thang Doan; Audrey Durand; Joelle Pineau; R. Devon Hjelm (CoRL, 2019)

Multi-objective training of Generative Adversarial Networks with multiple discriminators. - Isabela Albuquerque; João Monteiro 002; Thang Doan; Breandan Considine; Tiago H. Falk; Ioannis Mitliagkas (ICML, 2019)

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. - Srinivas Venkattaramanujam; Eric Crawford; Thang Doan; Doina Precup (CoRR, 2019)

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. - Thang Doan; Bogdan Mazoure; Audrey Durand; Joelle Pineau; R. Devon Hjelm (CoRR, 2019)

Deep Reinforcement and InfoMax Learning. - Bogdan Mazoure; Remi Tachet des Combes; Thang Doan; Philip Bachman; R. Devon Hjelm (NeurIPS, 2020)

Provably efficient reconstruction of policy networks. - Bogdan Mazoure; Thang Doan; Tianyu Li; Vladimir Makarenkov; Joelle Pineau; Doina Precup; Guillaume Rabusseau (CoRR, 2020)

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. - Thang Doan; Mehdi Abbana Bennani; Bogdan Mazoure; Guillaume Rabusseau; Pierre Alquier (AISTATS, 2021)

Regularized Inverse Reinforcement Learning. - Wonseok Jeon; Chen-Yang Su; Paul Barde; Thang Doan; Derek Nowrouzezahrai; Joelle Pineau (ICLR, 2021)

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. - Moloud Abdar; Maryam Samami; Sajjad Dehghani Mahmoodabad; Thang Doan; Bogdan Mazoure; Reza Hashemifesharaki; Li Liu 002; Abbas Khosravi; U. Rajendra Acharya; Vladimir Makarenkov; Saeid Nahavandi (Comput. Biol. Medicine, 2021)

Domain Adversarial Reinforcement Learning. - Bonnie Li; Vincent François-Lavet; Thang Doan; Joelle Pineau (CoRR, 2021)

Efficient Continual Learning Ensembles in Neural Network Subspaces. - Thang Doan; Seyed-Iman Mirzadeh; Joelle Pineau; Mehrdad Farajtabar (CoRR, 2022)

Low-Rank Representation of Reinforcement Learning Policies. - Bogdan Mazoure; Thang Doan; Tianyu Li; Vladimir Makarenkov; Joelle Pineau; Doina Precup; Guillaume Rabusseau (J. Artif. Intell. Res., 2022)

Continual Learning Beyond a Single Model. - Thang Doan; Seyed-Iman Mirzadeh; Mehrdad Farajtabar (CoLLAs, 2023)

Building a Subspace of Policies for Scalable Continual Learning. - Jean-Baptiste Gaya; Thang Doan; Lucas Caccia; Laure Soulier; Ludovic Denoyer; Roberta Raileanu (ICLR, 2023)

UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. - Xin Li; Sima Behpour; Thang Doan; Wenbin He; Liang Gou; Liu Ren (CoRR, 2023)

GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. - Sima Behpour; Thang Doan; Xin Li; Wenbin He; Liang Gou; Liu Ren (CoRR, 2023)

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. - Thang Doan; Xin Li; Sima Behpour; Wenbin He; Liang Gou; Liu Ren (AAAI, 2024)

USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. - Xiaoqi Wang; Wenbin He; Xiwei Xuan; Clint Sebastian; Jorge Piazentin Ono; Xin Li; Sima Behpour; Thang Doan; Liang Gou; Han-Wei Shen; Liu Ren (CVPR, 2024)

A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. - Thang Doan; Sima Behpour; Xin Li; Wenbin He; Liang Gou; Liu Ren (CoRR, 2024)