Papers
Deep Learning of Invariant Features via Simulated Fixations in Video
Will Zou, Shenghuo Zhu, Kai Yu et al.
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
Dan Ciresan, Alessandro Giusti, Luca M. Gambardella et al.
Deep Representations and Codes for Image Auto-Annotation
Ryan Kiros, Csaba Szepesvári
Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction
Pietro D. Lena, Ken Nagata, Pierre F. Baldi
Delay Compensation with Dynamical Synapses
Chi Fung, K. Wong, Si Wu
Density-Difference Estimation
Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki et al.
Density Propagation and Improved Bounds on the Partition Function
Stefano Ermon, Ashish Sabharwal, Bart Selman et al.
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification
Yung-kyun Noh, Frank Park, Daniel D. Lee
Dimensionality Dependent PAC-Bayes Margin Bound
Chi Jin, Liwei Wang
Dip-means: an incremental clustering method for estimating the number of clusters
Argyris Kalogeratos, Aristidis Likas
Discriminative Learning of Sum-Product Networks
Robert Gens, Pedro Domingos
Discriminatively Trained Sparse Code Gradients for Contour Detection
Ren Xiaofeng, Liefeng Bo
Distributed Non-Stochastic Experts
Varun Kanade, Zhenming Liu, Bozidar Radunovic
Distributed Probabilistic Learning for Camera Networks with Missing Data
Sejong Yoon, Vladimir Pavlovic
Dual-Space Analysis of the Sparse Linear Model
Yi Wu, David P. Wipf
Dynamical And-Or Graph Learning for Object Shape Modeling and Detection
Xiaolong Wang, Liang Lin
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction
Christoph H. Lampert
Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data
Michael C Hughes, Emily B. Fox, Erik B. Sudderth
Efficient and direct estimation of a neural subunit model for sensory coding
Brett Vintch, Andrew Zaharia, J Movshon et al.
Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search
Arthur Guez, David Silver, Peter Dayan
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
Xue-xin Wei, Alan Stocker
Efficient high dimensional maximum entropy modeling via symmetric partition functions
Paul Vernaza, Drew Bagnell
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions
Neil Burch, Marc Lanctot, Duane Szafron et al.
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
Morteza Ibrahimi, Adel Javanmard, Benjamin V. Roy
Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs, Richard S. Zemel