FE@NIPS

Publications

2015

Melih Kandemir, Fred A. Hamprecht
The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors. FE@NIPS (2015)
Henry W. J. Reeve, Gavin Brown
Modular Autoencoders for Ensemble Feature Extraction. FE@NIPS (2015)
Hassan Ashtiani, Ali Ghodsi
A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis. FE@NIPS (2015)
Elnaz Barshan, Paul W. Fieguth
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models. FE@NIPS (2015)
Yuval Atzmon, Uri Shalit, Gal Chechik
Learning Sparse Metrics, One Feature at a Time. FE@NIPS (2015)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS (2015)
Xia Cui, Ying Lu, Heng Peng
A Computationally Efficient Method for Estimating Semi Parametric Regression Functions. FE@NIPS (2015)
Xue-wen Chen, Melih S. Aslan, Kunlei Zhang, Thomas S. Huang
Learning Multi-channel Deep Feature Representations for Face Recognition. FE@NIPS (2015)
Gil I. Shamir
Minimum description length (MDL) regularization for online learning. FE@NIPS (2015)
Minyoung Kim, Luca Rigazio
Deep Clustered Convolutional Kernels. FE@NIPS (2015)
Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft
Theory and Algorithms for the Localized Setting of Learning Kernels. FE@NIPS (2015)
Majid Janzamin, Hanie Sedghi, U. N. Niranjan, Animashree Anandkumar
FEAST at Play: Feature ExtrAction using Score function Tensors. FE@NIPS (2015)
Jonathan P. Williams, Ying Lu
Covariance Selection in the Linear Mixed Effect Mode. FE@NIPS (2015)
Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
Kernel Extraction via Voted Risk Minimization. FE@NIPS (2015)
Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus
Generalization Bounds for Supervised Dimensionality Reduction. FE@NIPS (2015)
Furong Huang, Animashree Anandkumar
Convolutional Dictionary Learning through Tensor Factorization. FE@NIPS (2015)
Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
A Survey of Modern Questions and Challenges in Feature Extraction. FE@NIPS (2015)
Dimitrios Giannakis, Joanna Slawinska, Zhizhen Zhao
Spatiotemporal Feature Extraction with Data-Driven Koopman Operators. FE@NIPS (2015)
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
Convergent Learning: Do different neural networks learn the same representations? FE@NIPS (2015)

volume 44, 2015

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, FE 2015, co-located with the 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), Montreal, Canada, December 11-12, 2015. FE@NIPS 44 (2015)