| Generating images with recurrent adversarial networks DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 2016 | 289 | 2016 |
| 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 | 240 | 2017 |
| Quantitatively evaluating GANs with divergences proposed for training DJ Im, H Ma, G Taylor, K Branson arXiv preprint arXiv:1803.01045, 2018 | 82 | 2018 |
| Neural machine translation with gumbel-greedy decoding J Gu, DJ Im, VOK Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 48 | 2018 |
| An empirical analysis of the optimization of deep network loss surfaces DJ Im, M Tao, K Branson arXiv preprint arXiv:1612.04010, 2016 | 48 | 2016 |
| An empirical analysis of deep network loss surfaces DJ Im, M Tao, K Branson | 47 | 2016 |
| Generative adversarial parallelization DJ Im, H Ma, CD Kim, G Taylor arXiv preprint arXiv:1612.04021, 2016 | 43 | 2016 |
| Semisupervised hyperspectral image classification via neighborhood graph learning DJ Im, GW Taylor IEEE Geoscience and Remote Sensing Letters 12 (9), 1913-1917, 2015 | 22 | 2015 |
| Stochastic neighbor embedding under f-divergences DJ Im, N Verma, K Branson arXiv preprint arXiv:1811.01247, 2018 | 21 | 2018 |
| Conservativeness of untied auto-encoders D Im, M Belghazi, R Memisevic Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 12 | 2016 |
| Neural network regularization via robust weight factorization J Rudy, W Ding, DJ Im, GW Taylor arXiv preprint arXiv:1412.6630, 2014 | 9 | 2014 |
| Causal effect variational autoencoder with uniform treatment DJ Im, K Cho, N Razavian arXiv preprint arXiv:2111.08656, 2021 | 8 | 2021 |
| Online hyperparameter optimization by real-time recurrent learning DJ Im, C Savin, K Cho arXiv preprint arXiv:2102.07813, 2021 | 8 | 2021 |
| Learning a metric for class-conditional KNN DJ Im, GW Taylor 2016 International Joint Conference on Neural Networks (IJCNN), 1932-1939, 2016 | 8 | 2016 |
| Generating images with recurrent adversarial networks. arXiv 2016 DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 0 | 8 | |
| Generative adversarial metric DJ Im, CD Kim, H Jiang, R Memisevic | 6 | 2016 |
| Generating images with recurrent adversarial networks. 2016 DJ Im, CD Kim, H Jiang, R Memisevic arXiv preprint arXiv:1602.05110, 0 | 5 | |
| Model-agnostic meta-learning using runge-kutta methods DJ Im, Y Jiang, N Verma arXiv preprint arXiv:1910.07368, 2019 | 4 | 2019 |
| 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 | 4 | 2019 |
| Auto-encoding variational Bayes DJ Im, S Ahn, R Memisevic, Y Bengio CoRR, 2014 | 3 | 2014 |
Graham TaylorUniversity of Guelph and Vector Institute for Artificial IntelligencePotvrđena adresa e-pošte na uoguelph.ca
