Követés
Thang Doan
Thang Doan
Bosch (BCAI)
E-mail megerősítve itt: mail.mcgill.ca - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning
M Abdar, M Samami, SD Mahmoodabad, T Doan, B Mazoure, ...
Computers in biology and medicine 135, 104418, 2021
1222021
Deep Reinforcement and InfoMax Learning
B Mazoure, RT Combes, T Doan, P Bachman, RD Hjelm
NeurIPS 2020, 2020
912020
Multi-objective training of Generative Adversarial Networks with multiple discriminators
I Albuquerque, J Monteiro, T Doan, B Considine, T Falk, I Mitliagkas
ICML 2019, 2019
662019
Leveraging exploration in off-policy algorithms via normalizing flows
B Mazoure*, T Doan*, A Durand, RD Hjelm, J Pineau
CoRL 2019, 2019
502019
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
T Doan, M Bennani, B Mazoure, G Rabusseau, P Alquier
AISTATS 2021, 2021
452021
Online Adaptative Curriculum Learning for GANs
T Doan, J Monteiro, I Albuquerque, B Mazoure, A Durand, J Pineau, ...
AAAI 2019, 2019
412019
Generalisation guarantees for continual learning with orthogonal gradient descent
MA Bennani, T Doan, M Sugiyama
ICML workshop on Lifelong Learning 2020, 2020
332020
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning
S Venkattaramanujam, E Crawford, T Doan, D Precup
arXiv preprint arXiv:1907.02998, 2019
282019
Domain Adversarial Reinforcement Learning
B Li, V François-Lavet, T Doan, J Pineau
Deep RL workshop Neurips 2020, 2021
242021
Bayesian Policy Gradients via Alpha Divergence Dropout Inference
P Henderson*, T Doan*, R Islam, D Meger
Bayesian Deep Learning Workshop NIPS 2017, 2017
172017
GAN Q-learning
T Doan*, B Mazoure*, C Lyle
arXiv preprint arXiv:1805.04874, 2018
152018
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
T Doan*, B Mazoure*, A Durand, J Pineau, RD Hjelm
arXiv preprint arXiv:1909.07543, 2019
142019
Building a Subspace of Policies for Scalable Continual Learning
JB Gaya, T Doan, L Caccia, L Soulier, L Denoyer, R Raileanu
ICLR 2023, 2023
102023
Regularized Inverse Reinforcement Learning
W Jeon, CY Su, P Barde, T Doan, D Nowrouzezahrai, J Pineau
ICLR 2021, 2021
102021
Continual Learning Beyond a Single Model
T Doan, SI Mirzadeh, M Farajtabar
CoLLAs 2023, 2023
7*2023
Generating Realistic Sequences of Customer-level Transactions for Retail Datasets
T Doan, N Veira, S Ray, B Keng
International Conference on Data Mining (ICDM), Workshop on Data Mining for …, 2018
52018
EmojiGAN: learning emojis distributions with a generative model
B Mazoure*, T Doan*, S Ray
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity …, 2018
42018
Low-Rank Representation of Reinforcement Learning Policies
B Mazoure*, T Doan*, T Li, V Makarenkov, J Pineau, D Precup, ...
JAIR 2022, 2022
3*2022
Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
T Doan, X Li, S Behpour, W He, L Gou, L Ren
arXiv preprint arXiv:2306.14291, 2023
2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
S Behpour, T Doan, X Li, W He, L Gou, L Ren
NeurIPS 2023, 2023
2023
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Cikkek 1–20