Honglak Lee
Honglak Lee
LG AI Research / U. Michigan
Vahvistettu sähköpostiosoite verkkotunnuksessa umich.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2006
31282006
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
H Lee, R Grosse, R Ranganath, AY Ng
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
28512009
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
25152011
An analysis of single-layer networks in unsupervised feature learning
A Coates, H Lee, AY Ng
AISTATS, 2011
24432011
Generative Adversarial Text to Image Synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
arXiv preprint arXiv:1605.05396, 2016
19132016
Self-taught learning: Transfer learning from unlabeled data
R Raina, A Battle, H Lee, B Packer, AY Ng
Proceedings of the 24th international conference on Machine learning, 759-766, 2007
17472007
Unsupervised feature learning for audio classification using convolutional deep belief networks
H Lee, Y Largman, P Pham, AY Ng
Advances in neural information processing systems, 2009
12682009
Sparse deep belief net model for visual area V2
H Lee, C Ekanadham, A Ng
Advances in neural information processing systems 20, 873-880, 2008
12102008
Learning structured output representation using deep conditional generative models
K Sohn, H Lee, X Yan
Advances in Neural Information Processing Systems, 3483-3491, 2015
11452015
Supplementary Material: Learning Structured Output Representation using Deep Conditional Generative Models
K Sohn, X Yan, H Lee
1145*
Deep learning for detecting robotic grasps
I Lenz, H Lee, A Saxena
The International Journal of Robotics Research 34 (4-5), 705-724, 2015
10772015
Evaluation of Output Embeddings for Fine-Grained Image Classification
Z Akata, S Reed, D Walter, H Lee, B Schiele
CVPR, 2015
7082015
Action-conditional video prediction using deep networks in atari games
J Oh, X Guo, H Lee, RL Lewis, S Singh
Advances in Neural Information Processing Systems, 2845-2853, 2015
6632015
Attribute2Image: Conditional Image Generation from Visual Attributes
X Yan, J Yang, K Sohn, H Lee
arXiv preprint arXiv:1512.00570, 2015
6032015
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
X Yan, J Yang, E Yumer, Y Guo, H Lee
Advances in Neural Information Processing Systems, 1696-1704, 2016
545*2016
Learning Deep Representations of Fine-Grained Visual Descriptions
S Reed, Z Akata, H Lee, B Schiele
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
5182016
Training Deep Neural Networks on Noisy Labels with Bootstrapping
S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich
arXiv preprint arXiv:1412.6596, 2014
4982014
Learning hierarchical representations for face verification with convolutional deep belief networks
GB Huang, H Lee, E Learned-Miller
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
4532012
Measuring invariances in deep networks
I Goodfellow, H Lee, QV Le, A Saxe, AY Ng
Advances in neural information processing systems, 646-654, 2009
4462009
Efficient L~ 1 Regularized Logistic Regression
SI Lee, H Lee, P Abbeel, AY Ng
Proceedings of the National Conference on Artificial Intelligence 21 (1), 401, 2006
4302006
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