Papers
Deep Joint Task Learning for Generic Object Extraction
Xiaolong Wang, Liliang Zhang, Liang Lin et al.
LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S Tzeng et al.
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu, Ping Luo, Xiaogang Wang et al.
Deep Convolutional Neural Network for Image Deconvolution
Li Xu, Jimmy SJ Ren, Ce Liu et al.
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models
Cho-Jui Hsieh, Inderjit S Dhillon, Pradeep K Ravikumar et al.
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures
Harikrishna Narasimhan, Rohit Vaish, Shivani Agarwal
Algorithms for CVaR Optimization in MDPs
Yinlam Chow, Mohammad Ghavamzadeh
Sparse Space-Time Deconvolution for Calcium Image Analysis
Ferran Diego Andilla, Fred A. Hamprecht
Unsupervised Deep Haar Scattering on Graphs
Xu Chen, Xiuyuan Cheng, Stephane Mallat
Decoupled Variational Gaussian Inference
Mohammad Emtiyaz Khan
Hardness of parameter estimation in graphical models
Guy Bresler, David Gamarnik, Devavrat Shah
Large-Margin Convex Polytope Machine
Alex Kantchelian, Michael C Tschantz, Ling Huang et al.
large scale canonical correlation analysis with iterative least squares
Yichao Lu, Dean P. Foster
Learning Multiple Tasks in Parallel with a Shared Annotator
Haim Cohen, Koby Crammer
Low-Rank Time-Frequency Synthesis
Cédric Févotte, Matthieu Kowalski
Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces
Minh Ha Quang, Marco San Biagio, Vittorio Murino
Deep Learning Face Representation by Joint Identification-Verification
Yi Sun, Yuheng Chen, Xiaogang Wang et al.
Latent Support Measure Machines for Bag-of-Words Data Classification
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology
Remi Lemonnier, Kevin Scaman, Nicolas Vayatis
An Autoencoder Approach to Learning Bilingual Word Representations
Sarath Chandar A P, Stanislas Lauly, Hugo Larochelle et al.
Augur: Data-Parallel Probabilistic Modeling
Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti et al.
Rates of Convergence for Nearest Neighbor Classification
Kamalika Chaudhuri, Sanjoy Dasgupta
Convex Deep Learning via Normalized Kernels
Özlem Aslan, Xinhua Zhang, Dale Schuurmans