Thang Doan

According to our database, Thang Doan authored at least 25 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

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

Building a Subspace of Policies for Scalable Continual Learning.

Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Continual Learning Beyond a Single Model.

Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar

Proceedings of the Conference on Lifelong Learning Agents, 2023

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

Efficient Continual Learning Ensembles in Neural Network Subspaces.

Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar

CoRR, 2022

2021

Domain Adversarial Reinforcement Learning.

Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau

CoRR, 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, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Comput. Biol. Medicine, 2021

Regularized Inverse Reinforcement Learning.

Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau

Proceedings of the 9th International Conference on Learning Representations, 2021

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix.

Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Provably efficient reconstruction of policy networks.

Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau

CoRR, 2020

Deep Reinforcement and InfoMax Learning.

Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning.

Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2019

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning.

Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup

CoRR, 2019

Multi-objective training of Generative Adversarial Networks with multiple discriminators.

Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas

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

Leveraging exploration in off-policy algorithms via normalizing flows.

Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

On-Line Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

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

2018

Online Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2018

GAN Q-learning.

Thang Doan, Bogdan Mazoure, Clare Lyle

CoRR, 2018

EmojiGAN: learning emojis distributions with a generative model.

Bogdan Mazoure, Thang Doan, Saibal Ray

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets.

Thang Doan, Neil Veira, Brian Keng

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Bayesian Policy Gradients via Alpha Divergence Dropout Inference.

Peter Henderson, Thang Doan, Riashat Islam, David Meger

CoRR, 2017