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Online hyperparameter optimization by real-time recurrent learning


Feb 15, 2021
Daniel Jiwoong Im, Cristina Savin, Kyunghyun Cho


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Evaluation metrics for behaviour modeling


Jul 23, 2020
Daniel Jiwoong Im, Iljung Kwak, Kristin Branson

* 17 pages 

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Are skip connections necessary for biologically plausible learning rules?


Dec 04, 2019
Daniel Jiwoong Im, Rutuja Patil, Kristin Branson


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Model-Agnostic Meta-Learning using Runge-Kutta Methods


Oct 17, 2019
Daniel Jiwoong Im, Yibo Jiang, Nakul Verma


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Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data


Jun 07, 2019
Daniel Jiwoong Im, Sridhama Prakhya, Jinyao Yan, Srinivas Turaga, Kristin Branson


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Stochastic Neighbor Embedding under f-divergences


Nov 03, 2018
Daniel Jiwoong Im, Nakul Verma, Kristin Branson


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Quantitatively Evaluating GANs With Divergences Proposed for Training


Apr 28, 2018
Daniel Jiwoong Im, He Ma, Graham Taylor, Kristin Branson

* ICLR 2018 

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An empirical analysis of the optimization of deep network loss surfaces


Dec 07, 2017
Daniel Jiwoong Im, Michael Tao, Kristin Branson


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Neural Machine Translation with Gumbel-Greedy Decoding


Jun 22, 2017
Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li


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Generative Adversarial Parallelization


Dec 13, 2016
Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim, Graham Taylor


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Generating images with recurrent adversarial networks


Dec 13, 2016
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, Roland Memisevic


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Learning a metric for class-conditional KNN


Jul 11, 2016
Daniel Jiwoong Im, Graham W. Taylor


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Denoising Criterion for Variational Auto-Encoding Framework


Jan 04, 2016
Daniel Jiwoong Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

* ICLR conference submission 

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Conservativeness of untied auto-encoders


Sep 21, 2015
Daniel Jiwoong Im, Mohamed Ishmael Diwan Belghazi, Roland Memisevic


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Scoring and Classifying with Gated Auto-encoders


Jun 15, 2015
Daniel Jiwoong Im, Graham W. Taylor


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Understanding Minimum Probability Flow for RBMs Under Various Kinds of Dynamics


Apr 07, 2015
Daniel Jiwoong Im, Ethan Buchman, Graham W. Taylor

* Nine pages including the reference page plus one page appendix. Appeared at ICLR2015 workshop track 

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Neural Network Regularization via Robust Weight Factorization


Jan 05, 2015
Jan Rudy, Weiguang Ding, Daniel Jiwoong Im, Graham W. Taylor


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