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Taesup Kim
Taesup Kim
Assistant Professor, Seoul National University
Bestätigte E-Mail-Adresse bei snu.ac.kr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Pixeldefend: Leveraging generative models to understand and defend against adversarial examples
Y Song, T Kim, S Nowozin, S Ermon, N Kushman
ICLR 2018, 2018
9642018
Fast Autoaugment
S Lim, I Kim, T Kim, C Kim, S Kim
Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019
7732019
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
635*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
6192019
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
3762017
Deep Directed Generative Models with Energy-Based Probability Estimation
T Kim, Y Bengio
ICLR workshop 2016 & arXiv preprint arXiv:1606.03439, 2016
1582016
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
912019
Variational Temporal Abstraction
T Kim, S Ahn, Y Bengio
Advances in Neural Information Processing Systems (NeurIPS) 2019 & arXiv …, 2019
842019
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
T Kim, I Song, Y Bengio
INTERSPEECH 2017, 2017
772017
Variable Grouping for Energy Minimization
T Kim, S Nowozin, P Kohli, CD Yoo
CVPR 2011, 1913-1920, 2011
262011
Meta-Learning with a Geometry-Adaptive Preconditioner
S Kang, D Hwang, M Eo, T Kim, W Rhee
CVPR 2023; arXiv preprint arXiv:2304.01552, 2023
232023
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
222018
Task-agnostic continual reinforcement learning: In praise of a simple baseline
M Caccia, J Mueller, T Kim, L Charlin, R Fakoor
202022
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
19*2019
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
172016
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
16*2023
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
152018
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
122017
FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages
J Lee, S Hwang, T Kim
AACL 2022, 2022
112022
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
112017
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