| Pixeldefend: Leveraging generative models to understand and defend against adversarial examples Y Song, T Kim, S Nowozin, S Ermon, N Kushman ICLR 2018, 2018 | 812 | 2018 |
| Fast Autoaugment S Lim, I Kim, T Kim, C Kim, S Kim Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019 | 618 | 2019 |
| 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 | 559* | 2018 |
| 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 | 512 | 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 | 341 | 2017 |
| Deep Directed Generative Models with Energy-Based Probability Estimation T Kim, Y Bengio ICLR workshop 2016 & arXiv preprint arXiv:1606.03439, 2016 | 156 | 2016 |
| 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 | 75 | 2019 |
| Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition T Kim, I Song, Y Bengio INTERSPEECH 2017, 2017 | 71 | 2017 |
| Variational Temporal Abstraction T Kim, S Ahn, Y Bengio Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019 | 60 | 2019 |
| Variable Grouping for Energy Minimization T Kim, S Nowozin, P Kohli, CD Yoo CVPR 2011, 1913-1920, 2011 | 26 | 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 | 20 | 2018 |
| 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 | 15 | 2018 |
| Task-agnostic continual reinforcement learning: In praise of a simple baseline M Caccia, J Mueller, T Kim, L Charlin, R Fakoor arXiv preprint arXiv:2205.14495, 2022 | 14 | 2022 |
| 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 |
| Method and apparatus for processing video signals using inter-view inter-prediction S Jaewon, S Yea, KOO Moonmo, J Heo, T Kim, J Jung, E Son US Patent 10,341,677, 2019 | 12* | 2019 |
| 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 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 | 10 | 2018 |
| 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 |
| Flexible model aggregation for quantile regression R Fakoor, T Kim, J Mueller, AJ Smola, RJ Tibshirani Journal of Machine Learning Research 24, 1--45, 2023 | 9 | 2023 |
| Deep quantile aggregation T Kim, R Fakoor, J Mueller, AJ Smola, RJ Tibshirani arXiv preprint arXiv:2103.00083, 2021 | 9 | 2021 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
