Kilian Q. Weinberger


Deep Learning


denseBlock





Publications:

[PDF] Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, in press…

[PDF] Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger
Multi-Scale Dense Networks for Resource Efficient Image Classification
International Conference on Learning Representations (ICLR), 2018, in press …

[PDF] On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger
International Conference on Machine Learning (ICML) 2017, In press ….

[PDF][CODE] Multi-Scale Dense Convolutional Networks for Efficient Prediction
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger

[PDF] Deep Feature Interpolation for Image Content Changes
Paul Upchurch, Jake Gardner, Kavita Bala, Rrobert Pless, Noah Snavely, Kilian Weinberger
Computer Vision and Pattern Recognition (CVPR) 2017, In press …

[PDF][CODE] Snapshot ensembles: Train 1, get m for free
G Huang, Y Li, G Pleiss, Z Liu, JE Hopcroft, KQ Weinberger
International Conference on Learning Representations (ICLR) 2017

[PDF] Gao Huang, Zhuang Liu, Kilian Q. Weinberger, Densely Connected Convolutional Networks. Arxiv pre-print

[PDF] Deep Manifold Traversal: Changing Labels with Convolutional Features, Jacob R. Gardner, Paul Upchurch, Matt J. Kusner, Yixuan Li, Kilian Q. Weinberger, Kavita Bala, John E. Hopcroft. Arxiv technical report.

[PDF] Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger. Deep Networks with Stochastic Depth. The 14th European Conference on Computer Vision (ECCV) – Amsterdam, The Netherlands, 2016.

[PDF] W. Chen, J. Wilson, S. Tyree, K. Weinberger, and Y. Chen, Proc. Compressing Convolutional Neural Networks in Frequency Domain. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-16), 2016.

[PDF][Video] Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen. Compressing Neural Networks with the Hashing Trick. International Conference on Machine Learning (ICML), Lille, France, pp. 2285–2294, 2015.

[PDF][BIBTEX] Minmin Chen, Kilian Q. Weinberger, Fei Sha, Yoshua Bengio, Marginalized Denoising Auto-encoders for Nonlinear Representations. International Conference on Machine Learning (ICML), Beijing China, 2015

[PDF][CODE][BIBTEX] Minmin Chen, Zhixiang (Eddie) Xu, Kilian Q. Weinberger, Fei Sha. Marginalized Stacked Denoising Autoencoders for Domain Adaptation.
Proceedings of 29th International Conference on Machine Learning (ICML), Edingburgh Scotland, Omnipress, pages 767-774, 2012.