Papers
Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Ruslan Salakhutdinov, Roger B Grosse et al.
Shepard Convolutional Neural Networks
Jimmy SJ Ren, Li Xu, Qiong Yan et al.
Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K Thekumparampil, Jiaming Xu
Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett et al.
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin, Chunhua Shen, Ian Reid et al.
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri et al.
Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding et al.
Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky, Ananda Theertha Suresh
Max-Margin Majority Voting for Learning from Crowds
TIAN TIAN, Jun Zhu
Deep Poisson Factor Modeling
Ricardo Henao, Zhe Gan, James Lu et al.
Discriminative Robust Transformation Learning
Jiaji Huang, Qiang Qiu, Guillermo Sapiro et al.
Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F Stollenga, Wonmin Byeon, Marcus Liwicki et al.
Column Selection via Adaptive Sampling
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas
Smooth Interactive Submodular Set Cover
Bryan D He, Yisong Yue
Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar et al.
Online F-Measure Optimization
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski et al.
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna E Choromanska, Yann LeCun
Optimal Rates for Random Fourier Features
Bharath Sriperumbudur, Zoltan Szabo
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Jiajun Wu, Ilker Yildirim, Joseph J. Lim et al.
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
Emmanuel Abbe, Colin Sandon
Convolutional spike-triggered covariance analysis for neural subunit models
Anqi Wu, ll Memming Park, Jonathan W Pillow
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
Sohail Bahmani, Justin Romberg
Smooth and Strong: MAP Inference with Linear Convergence
Ofer Meshi, Mehrdad Mahdavi, Alex Schwing
Deep Convolutional Inverse Graphics Network
Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli et al.