Reading Group

while True: [Jungtaek Kim, Yoonho Lee, Youngseok Yoon, Nayeong Kim, Wonbin Kim, Youngnam Kim]


2017/11/28 PM 07:00
Reinforcement Learning with Unsupervised Auxiliary Tasks (ICLR 2017), Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Joel Z Leibo, David Silver, Koray Kavukcuoglu
Presenter: Youngnam Kim

2017/11/14 PM 07:00
Towards Open Set Deep Networks (CVPR 2017), Abhijit Bendale, Terrance Boult
Presenter: Wonbin Kim

2017/11/07 PM 07:00
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability (ICML 2017), Foerster, J.N., Gilmer, J., Sohl-Dickstein, J. Chorowski, J., Sussillo, D.
Presenter: Nayeong Kim

2017/10/24 PM 07:00
Deep Reinforcement Learning with Double Q-Learning (AAAI 2016), Hado van Hasselt, Arthur Guez, David Silver
Presenter: Youngseok Yoon

2017/10/17 PM 07:00
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments (arXiv 2017), Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
Presenter: Yoonho Lee

2017/05/23 PM 08:00
Variational Inference using Implicit Distributions (published in arXiv), Ferenc Huszár
Presenter: Suwon Suh

2017/05/16 PM 08:00
Scalable Adaptive Stochastic Optimization Using Random Projections (NIPS 2016), Gabriel Krummenacher, Brian McWilliams, Yannic Kilcher, Joachim M. Buhmann, and Nicolai Meinshausen
Presenter: Saehoon Kim

2017/05/09 PM 08:00
Gradient Estimation Using Stochastic Computation Graphs (NIPS 2015), John Schulman, Nicolas Heess, Theophane Weber, and Pieter Abbeel
Presenter: Yoonho Lee

2017/05/02 PM 08:00
Building Machines That Learn and Think Like People (published in arXiv), Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman
Presenter: Aren Siekmeier

2017/04/24 PM 08:00
Improving Generative Adversarial Networks with Denoising Feature Matching (ICLR 2017), David Warde-Farley and Yoshua Bengio
Presentation Link
Presenter: Inhyuk Cho

2017/04/11 PM 08:00
Neural GPUs Learn Algorithms (ICLR 2016), Lukasz Kaiser and Ilya Sutskever
Presentation Link
Presenter: Minseop Park

2017/03/28 PM 08:00
Random Forest for the Contextual Bandit Problem (AISTATS 2016), Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
Presentation Link
Presenter: Jungtaek Kim

2017/03/21 PM 08:00
DelugeNets: Deep Networks with Massive and Flexible Cross-layer Information Inflows (published in arXiv), Jason Kuen, Xiangfei Kong, Gang Wang
Presentation Link
Presenter: Jiyuu Yi

2017/03/13 PM 09:00
Wasserstein GAN (published in arXiv), Martin Arjovsky, Soumith Chintala, Léon Bottou
Presentation Link
Presenter: Juho Lee

2017/02/13 AM 11:00
A Connection Between GANs, Inverse Reinforcement Learning, and Energy-Based Models (NIPS 2016 Workshop on Adversarial Training), Finn, Christiano, Abbeel and Levine
Presentation Link
Presenter: Suwon Suh

2017/01/23
Stacked Generative Adversarial Networks (under review for CVPR 2017), X. Huang et al.
Presentation Link
Presenter: Saehoon Kim

2017/01/16
Manipulation of Rat Movement by Nigrostriatal Stimulation Commanded by Human Visually Evoked Potential Presenter: Bonkon Koo

2016/12/27
The Predictron: End-to-end Learning and Planning (under review for ICLR 2017) David Silver et al.
Presentation Link
Presenter: Yoonho Lee

2016/11/29
Coupled Generative Adversarial Networks (NIPS 2016) Ming-Yu Liu and Oncel Tuzel
Presentation Link
Presenter: Inhuyk Cho

2016/11/22
Siamese Neural Networks for One-shot Image Recognition (ICML 2015 Deep Learning Workshop) Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov
Presentation Link
Presenter: Minseop Park

2016/11/14
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian (NIPS 2016) Victor Picheny, Robert B. Gramacy, Stefan M. Wild, and Sebastien Le Digabel
Presentation Link
Presenter: Jungtaek Kim

2016/11/08
Recurrect Convolutional Neural Network for Object Recognition (CVPR 2015) Ming Liang, and Xiaolin Hu
Presentation Link
Presenter: Jiyuu Yi

2016/11/01
Composing graphical models with neural networks for structured representation and fast inference (NIPS 2016) M. J. Johnson, D. Duvenaud, A. B. Wiltschko, S. R. Datta and R. P. Adams
Presentation Link
Presenter: Juho Lee

2016/10/25
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections (ICCV 2015) Yu Cheng, Felix X. Yu, Rogerio S. Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang
Presentation Link
Presenter: Saehoon Kim

2016/10/11
Dueling Network Architectures for Deep Reinforcement Learning (ICML 2016) Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, and Nando de Freitas
Presentation Link
Presenter: Yoonho Lee

2016/10/04
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (NIPS 2016) Xi Chen, Yan Duan, Rein Houthooft, John Schulman, Ilya Sutskever, and Pieter Abbeel
Presentation Link
Presenter: Inhyuk Cho

2016/09/19
One-Shot Generaliztion in Deep Generative Models (ICML 2016) Danilo J. Rezende, Shakir, Mohamed, Ivo Danihelka, Karol Gregor, and Daan Wierstra
Presentation Link
Presenter: Minseop Park

2016/09/06
Robust Random Cut Forest Based Anomaly Detection On Streams (ICML 2016) Sudipto Guha, Nina Mishra, Gourav Roy, and Okke Schrijvers
Presentation Link
Presenter: Jungtaek Kim

2016/08/29
Deep Networks with Stochastic Depth Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, and Kilian Q. Weinberger
Presentation Link
Presenter: Jiyuu Yi

2016/08/22
The Variational Gaussian Process (ICLR 16) Dustin Tran, Rajesh Ranganath, and David M. Blei
Presentation Link
Presenter: Juho Lee

2016/08/09
Deep Kernel Learning (AISTATS 16) Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, and Eric P. Xing
Presentation Link
Presenter: Saehoon Kim

Last updated: 2017/05/02