Daniel Jiwoong Im
Title
Cited by
Cited by
Year
Generating images with recurrent adversarial networks
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 2016
2152016
Denoising criterion for variational auto-encoding framework
D Im Im, S Ahn, R Memisevic, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1332017
Quantitatively evaluating GANs with divergences proposed for training
DJ Im, H Ma, G Taylor, K Branson
arXiv preprint arXiv:1803.01045, 2018
742018
Neural machine translation with gumbel-greedy decoding
J Gu, DJ Im, VOK Li
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
362018
An empirical analysis of deep network loss surfaces
DJ Im, M Tao, K Branson
362016
Generative adversarial parallelization
DJ Im, H Ma, CD Kim, G Taylor
arXiv preprint arXiv:1612.04021, 2016
312016
An empirical analysis of the optimization of deep network loss surfaces
DJ Im, M Tao, K Branson
arXiv preprint arXiv:1612.04010, 2016
242016
Semisupervised hyperspectral image classification via neighborhood graph learning
DJ Im, GW Taylor
IEEE Geoscience and Remote Sensing Letters 12 (9), 1913-1917, 2015
162015
Stochastic neighbor embedding under f-divergences
DJ Im, N Verma, K Branson
arXiv preprint arXiv:1811.01247, 2018
82018
Conservativeness of untied auto-encoders
DJ Im, MI Belghazi, R Memisevic
Thirtieth AAAI Conference on Artificial Intelligence, 2016
82016
Neural network regularization via robust weight factorization
J Rudy, W Ding, DJ Im, GW Taylor
arXiv preprint arXiv:1412.6630, 2014
72014
Learning a metric for class-conditional KNN
DJ Im, GW Taylor
2016 International Joint Conference on Neural Networks (IJCNN), 1932-1939, 2016
62016
Generative adversarial metric
DJ Im, CD Kim, H Jiang, R Memisevic
52016
Generating images with recurrent adversarial networks. arXiv 2016
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 0
5
Generating images with recurrent adversarial networks. 2016
DJ Im, CD Kim, H Jiang, R Memisevic
arXiv preprint arXiv:1602.05110, 0
4
Online hyperparameter optimization by real-time recurrent learning
DJ Im, C Savin, K Cho
arXiv preprint arXiv:2102.07813, 2021
22021
Model-Agnostic Meta-Learning using Runge-Kutta Methods
DJ Im, Y Jiang, N Verma
arXiv preprint arXiv:1910.07368, 2019
22019
Scoring and classifying with Gated auto-encoders
DJ Im, GW Taylor
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
22015
Importance Weighted Adversarial Variational Autoencoders for Spike Inference from calcium Imaging Data
DJ Im, S Prakhya, J Yan, S Turaga, K Branson
arXiv preprint arXiv:1906.03214, 2019
12019
Understanding minimum probability flow for RBMs under various kinds of dynamics
DJ Im, E Buchman, GW Taylor
arXiv preprint arXiv:1412.6617, 2014
12014
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Articles 1–20