| Pixeldefend: Leveraging generative models to understand and defend against adversarial examples Y Song, T Kim, S Nowozin, S Ermon, N Kushman ICLR 2018, 2018 | 687 | 2018 |
| Bayesian Model-Agnostic Meta-Learning T Kim, J Yoon, O Dia, S Kim, Y Bengio, S Ahn Advances in Neural Information Processing Systems, 7332-7342, 2018 & arXiv …, 2018 | 477* | 2018 |
| Fast Autoaugment S Lim, I Kim, T Kim, C Kim, S Kim Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019 | 464 | 2019 |
| Edge-Labeling Graph Neural Network for Few-shot Learning J Kim, T Kim, S Kim, CD Yoo Computer Vision and Pattern Recognition (CVPR) 2019, 2019 | 400 | 2019 |
| A Deep Reinforcement Learning Chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 293 | 2017 |
| Deep Directed Generative Models with Energy-Based Probability Estimation T Kim, Y Bengio ICLR workshop 2016 & arXiv preprint arXiv:1606.03439, 2016 | 133 | 2016 |
| Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition T Kim, I Song, Y Bengio INTERSPEECH 2017, 2017 | 64 | 2017 |
| Scalable Neural Architecture Search for 3D Medical Image Segmentation S Kim, I Kim, S Lim, W Baek, C Kim, H Cho, B Yoon, T Kim International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 61 | 2019 |
| Variational Temporal Abstraction T Kim, S Ahn, Y Bengio Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019 | 41 | 2019 |
| Variable Grouping for Energy Minimization T Kim, S Nowozin, P Kohli, CD Yoo CVPR 2011, 1913-1920, 2011 | 25 | 2011 |
| A deep reinforcement learning chatbot (short version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 18* | 2018 |
| Face recognition using gradient based feature analysis M Park, H Lee, H Je, T Kim, Y Cheon, T Kim US Patent 9,384,385, 2016 | 14 | 2016 |
| Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models I Song, J Chung, T Kim, Y Bengio ICASSP 2018, 2018 | 13 | 2018 |
| The octopus approach to the Alexa competition: A deep ensemble-based socialbot IV Serban, C Sankar, S Zhang, Z Lin, S Subramanian, T Kim, S Chandar, ... Alexa Prize Proceedings, 2017 | 12 | 2017 |
| Method and apparatus for processing video signal KOO Moonmo, J Jung, S Yea, J Heo, T Kim, S Jaewon, E Son US Patent 9,860,555, 2018 | 10 | 2018 |
| Method and apparatus for processing video signals S Jaewon, S Yea, KOO Moonmo, J Heo, T Kim, J Jung, E Son US Patent 9,602,831, 2017 | 10* | 2017 |
| Method and apparatus for selecting a filter based on a variance of depth data J Heo, J Jung, S Yea, KOO Moonmo, T Kim, S Jaewon, E Son US Patent 9,924,169, 2018 | 8 | 2018 |
| Video signal processing method and device J Heo, J Jung, S Yea, KOO Moonmo, T Kim, S Jaewon, E Son US Patent 9,894,385, 2018 | 8 | 2018 |
| Method and device for processing video signal J Jung, S Yea, KOO Moonmo, J Heo, T Kim, S Jaewon, E Son US Patent 9,565,450, 2017 | 8 | 2017 |
| Method and apparatus for processing video signal J Jung, S Yea, KOO Moonmo, J Heo, T Kim, S Jaewon, E Son US Patent App. 14/413,157, 2015 | 8 | 2015 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARumontreal.ca의 이메일 확인됨
