no code implementations • 29 Sep 2021 • Siyuan Zhou, Yikang Shen, Yuchen Lu, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan
With the isolation of information and the synchronous calling mechanism, we can impose a division of works between the controller and options in an end-to-end training regime.
no code implementations • 29 Sep 2021 • Yuchen Lu, Zhen Liu, Alessandro Sordoni, Aristide Baratin, Romain Laroche, Aaron Courville
In this work, we argue that representations induced by self-supervised learning (SSL) methods should both be expressive and learnable.
no code implementations • ICLR 2021 • Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville
Although neural module networks have an architectural bias towards compositionality, they require gold standard layouts to generalize systematically in practice.
no code implementations • 19 Mar 2021 • Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan
The discovered subtask hierarchy could be used to perform task decomposition, recovering the subtask boundaries in an unstruc-tured demonstration.
no code implementations • ICLR 2021 • Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan
Many complex real-world tasks are composed of several levels of sub-tasks.
no code implementations • EMNLP 2020 • Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville
Language drift has been one of the major obstacles to train language models through interaction.
no code implementations • ICML 2020 • Yuchen Lu, Soumye Singhal, Florian Strub, Olivier Pietquin, Aaron Courville
At each time step, the teacher is created by copying the student agent, before being finetuned to maximize task completion.
no code implementations • 20 Mar 2020 • Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu
In this paper, we study the problem of out-of-distribution detection in skin disease images.
no code implementations • NeurIPS 2019 • Philip Paquette, Yuchen Lu, Seton Steven Bocco, Max Smith, Satya O.-G., Jonathan K. Kummerfeld, Joelle Pineau, Satinder Singh, Aaron C. Courville
Diplomacy is a seven-player non-stochastic, non-cooperative game, where agents acquire resources through a mix of teamwork and betrayal.
no code implementations • 2 Oct 2019 • Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu
In this paper, we study the problem of image recognition with non-differentiable constraints.
1 code implementation • 4 Sep 2019 • Philip Paquette, Yuchen Lu, Steven Bocco, Max O. Smith, Satya Ortiz-Gagne, Jonathan K. Kummerfeld, Satinder Singh, Joelle Pineau, Aaron Courville
Diplomacy is a seven-player non-stochastic, non-cooperative game, where agents acquire resources through a mix of teamwork and betrayal.
no code implementations • 3 Jul 2018 • Yuchen Lu, Peng Xu
If we focus on specific diseases, the model is able to detect melanoma with 0. 864 AUCROC and detect actinic keratosis with 0. 872 AUCROC, even if it only sees the images of nevus.
no code implementations • ICLR 2018 • Tong Che, Yuchen Lu, George Tucker, Surya Bhupatiraju, Shane Gu, Sergey Levine, Yoshua Bengio
Model-free deep reinforcement learning algorithms are able to successfully solve a wide range of continuous control tasks, but typically require many on-policy samples to achieve good performance.