Papers
Fusion with Diffusion for Robust Visual Tracking
Yu Zhou, Xiang Bai, Wenyu Liu et al.
GenDeR: A Generic Diversified Ranking Algorithm
Jingrui He, Hanghang Tong, Qiaozhu Mei et al.
Generalization Bounds for Domain Adaptation
Chao Zhang, Lei Zhang, Jieping Ye
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins
Alex Schwing, Tamir Hazan, Marc Pollefeys et al.
Gradient-based kernel method for feature extraction and variable selection
Kenji Fukumizu, Chenlei Leng
Gradient Weights help Nonparametric Regressors
Samory Kpotufe, Abdeslam Boularias
Graphical Gaussian Vector for Image Categorization
Tatsuya Harada, Yasuo Kuniyoshi
Graphical Models via Generalized Linear Models
Eunho Yang, Genevera Allen, Zhandong Liu et al.
Hamming Distance Metric Learning
Mohammad Norouzi, David J Fleet, Ruslan Salakhutdinov
Hierarchical Optimistic Region Selection driven by Curiosity
Odalric-ambrym Maillard
Hierarchical spike coding of sound
Yan Karklin, Chaitanya Ekanadham, Eero P. Simoncelli
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction
Hua Wang, Feiping Nie, Heng Huang et al.
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
Stefan Habenschuss, Johannes Bill, Bernhard Nessler
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
Yanping Huang, Timothy Hanks, Mike Shadlen et al.
How They Vote: Issue-Adjusted Models of Legislative Behavior
Sean Gerrish, David M. Blei
Human memory search as a random walk in a semantic network
Joseph L. Austerweil, Joshua T. Abbott, Thomas L. Griffiths
Identifiability and Unmixing of Latent Parse Trees
Daniel J. Hsu, Sham M. Kakade, Percy Liang
Identification of Recurrent Patterns in the Activation of Brain Networks
Firdaus Janoos, Weichang Li, Niranjan Subrahmanya et al.
Image Denoising and Inpainting with Deep Neural Networks
Junyuan Xie, Linli Xu, Enhong Chen
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton
Imitation Learning by Coaching
He He, Jason Eisner, Hal Daume
Interpreting prediction markets: a stochastic approach
Rafael M. Frongillo, Nicolas Della Penna, Mark D. Reid
Inverse Reinforcement Learning through Structured Classification
Edouard Klein, Matthieu Geist, Bilal Piot et al.
Isotropic Hashing
Weihao Kong, Wu-jun Li
Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh, Devavrat Shah