Thang Doan - RankMe

34 papers A* 7A 1Misc 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A streamlined Approach to Multimodal Few-Shot Class Incremental Learning for Fine-Grained Datasets. CoRR Thang Doan, Sima Behpour, Xin Li, Wenbin He, Liang Gou, Liu Ren
2024	A*	`conf`	Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. AAAI Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2024	A*	`conf`	USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CVPR Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2024	J	`jnl`	USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation. CoRR Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han-Wei Shen, Liu Ren
2023	A*	`conf`	Building a Subspace of Policies for Scalable Continual Learning. ICLR Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2023	—	`conf`	Continual Learning Beyond a Single Model. CoLLAs Thang Doan, Seyed-Iman Mirzadeh, Mehrdad Farajtabar
2023	J	`jnl`	GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. CoRR Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren
2023	J	`jnl`	Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection. CoRR Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
2023	J	`jnl`	UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models. CoRR Xin Li, Sima Behpour, Thang Doan, Wenbin He, Liang Gou, Liu Ren
2022	J	`jnl`	Building a Subspace of Policies for Scalable Continual Learning. CoRR Jean-Baptiste Gaya, Thang Doan, Lucas Caccia, Laure Soulier, Ludovic Denoyer, Roberta Raileanu
2022	J	`jnl`	Efficient Continual Learning Ensembles in Neural Network Subspaces. CoRR Thang Doan, Seyed-Iman Mirzadeh, Joelle Pineau, Mehrdad Farajtabar
2022	J	`jnl`	Low-Rank Representation of Reinforcement Learning Policies. J. Artif. Intell. Res. Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2021	A	`conf`	A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. AISTATS Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
2021	J	`jnl`	Domain Adversarial Reinforcement Learning. CoRR Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau
2021	A*	`conf`	Regularized Inverse Reinforcement Learning. ICLR Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
2021	J	`jnl`	Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning. Comput. Biol. Medicine Moloud Abdar, Maryam Samami, Sajjad Dehghani Mahmoodabad, Thang Doan, Bogdan Mazoure, Reza Hashemifesharaki, Li Liu, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2020	J	`jnl`	A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. CoRR Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
2020	A*	`conf`	Deep Reinforcement and InfoMax Learning. NeurIPS Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	J	`jnl`	Deep Reinforcement and InfoMax Learning. CoRR Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R. Devon Hjelm
2020	J	`jnl`	Provably efficient reconstruction of policy networks. CoRR Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
2020	J	`jnl`	Regularized Inverse Reinforcement Learning. CoRR Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
2019	J	`jnl`	Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning. CoRR Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Generating Realistic Sequences of Customer-level Transactions for Retail Datasets. CoRR Thang Doan, Neil Veira, Brian Keng
2019	Misc	`conf`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRL Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Leveraging exploration in off-policy algorithms via normalizing flows. CoRR Bogdan Mazoure, Thang Doan, Audrey Durand, R. Devon Hjelm, Joelle Pineau
2019	A*	`conf`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. ICML Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	J	`jnl`	Multi-objective training of Generative Adversarial Networks with multiple discriminators. CoRR Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas
2019	A*	`conf`	On-Line Adaptative Curriculum Learning for GANs. AAAI Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2019	J	`jnl`	Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. CoRR Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup
2018	—	`conf`	EmojiGAN: learning emojis distributions with a generative model. WASSA@EMNLP Bogdan Mazoure, Thang Doan, Saibal Ray
2018	J	`jnl`	GAN Q-learning. CoRR Thang Doan, Bogdan Mazoure, Clare Lyle
2018	—	`conf`	Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets. ICDM Workshops Thang Doan, Neil Veira, Brian Keng
2018	J	`jnl`	Online Adaptative Curriculum Learning for GANs. CoRR Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm
2017	J	`jnl`	Bayesian Policy Gradients via Alpha Divergence Dropout Inference. CoRR Peter Henderson, Thang Doan, Riashat Islam, David Meger