| Show, Attend and Tell: Neural Image Caption Generation with Visual Attention K Xu, J Ba, R Kiros, K Cho, A Courville, R Salakhutdinov, R Zemel, ... International Conference on Machine Learning (ICML) 2 (3), 5, 2015 | 9106 | 2015 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | 784 | 2016 |
| Probabilistic model-agnostic meta-learning C Finn*, K Xu*, S Levine Advances in neural information processing systems 31, 2018 | 530 | 2018 |
| An actor-critic algorithm for sequence prediction D Bahdanau, P Brakel, K Xu, A Goyal, R Lowe, J Pineau, A Courville, ... International Conference on Learning Representations (2017), 2016 | 517 | 2016 |
| On using monolingual corpora in neural machine translation C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ... arXiv preprint arXiv:1503.03535, 2015 | 467 | 2015 |
| Meta-dataset: A dataset of datasets for learning to learn from few examples E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ... International Conference on Learning Representations (2020), 2019 | 349 | 2019 |
| Bridging the gap between value and policy based reinforcement learning O Nachum, M Norouzi, K Xu, D Schuurmans Advances in neural information processing systems 30, 2017 | 330 | 2017 |
| Theano: A Python framework for fast computation of mathematical expressions TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ... arXiv preprint arXiv:1605.02688, 2016 | 205 | 2016 |
| Unsupervised perceptual rewards for imitation learning P Sermanet*, K Xu*, S Levine Robotics: Science and Systems (RSS 2017), 2016 | 128 | 2016 |
| On integrating a language model into neural machine translation C Gulcehre, O Firat, K Xu, K Cho, Y Bengio Computer Speech & Language 45, 137-148, 2017 | 91 | 2017 |
| Trust-pcl: An off-policy trust region method for continuous control O Nachum, M Norouzi, K Xu, D Schuurmans International Conference on Learning Representations (2018), 2018 | 89 | 2018 |
| Learning a prior over intent via meta-inverse reinforcement learning K Xu, E Ratner, A Dragan, S Levine, C Finn International Conference on Machine Learning, 6952-6962, 2019 | 48 | 2019 |
| Reset-free reinforcement learning via multi-task learning: Learning dexterous manipulation behaviors without human intervention A Gupta, J Yu, TZ Zhao, V Kumar, A Rovinsky, K Xu, T Devlin, S Levine 2021 IEEE International Conference on Robotics and Automation (ICRA), 6664-6671, 2021 | 17 | 2021 |
| Continual Learning of Control Primitives: Skill Discovery via Reset-Games K Xu*, S Verma*, C Finn, S Levine Advances in neural information processing systems, 2020, 2020 | 13 | 2020 |
| A Controller-Recognizer Framework: How necessary is recognition for control? M Moczulski, K Xu, A Courville, K Cho arXiv preprint arXiv:1511.06428, 2015 | 2 | 2015 |
| Autonomous Reinforcement Learning: Formalism and Benchmarking A Sharma*, K Xu*, N Sardana, A Gupta, K Hausman, S Levine, C Finn International Conference on Learning Representations (2022), 2021 | 1 | 2021 |
| On integrating a language model into neural machine translation C Gulcehre, O Firat, K Xu, K Cho, Y Bengio Computer Speech & Language 45, 137-148, 2017 | | 2017 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016 | | 2016 |
| Exploring Attention Based Model for Captioning Images K Xu | | 2016 |
| Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Open Website E Triantafillou, TL Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ... | | |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的电子邮件经过验证
