Papers
Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
Generative Adversarial Text to Image Synthesis
Scott Reed, Zeynep Akata, Xinchen Yan et al.
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data
Xinghua Lou, Ken Kansky, Wolfgang Lehrach et al.
GenSVM: A Generalized Multiclass Support Vector Machine
Gerrit J.J. van den Burg, Patrick J.F. Groenen
Geometric Dirichlet Means Algorithm for topic inference
Mikhail Yurochkin, Xuanlong Nguyen
Geometric Mean Metric Learning
Pourya Zadeh, Reshad Hosseini, Suvrit Sra
Geometric Swimming on a Granular Surface
Jin Dai, Hossein Faraji, Chaohui Gong et al.
Geometry Aware Mappings for High Dimensional Sparse Factors
Avradeep Bhowmik, Nathan Liu, Erheng Zhong et al.
Geometry-aware stationary subspace analysis
Inbal Horev, Florian Yger, Masashi Sugiyama
Geometry-Informed Material Recognition
Joseph DeGol, Mani Golparvar-Fard, Derek Hoiem
Geospatial Correspondences for Multimodal Registration
Diego Marcos, Raffay Hamid, Devis Tuia
GIFT: A Real-Time and Scalable 3D Shape Search Engine
Song Bai, Xiang Bai, Zhichao Zhou et al.
GLASSES: Relieving The Myopia Of Bayesian Optimisation
Javier Gonzalez, Michael Osborne, Neil Lawrence
Glimpse-Based Metrics for Predicting Speech Intelligibility in Additive Noise Conditions
Yan Tang, Martin Cooke
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
Ji Xu, Daniel J. Hsu, Arian Maleki
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
Dejiao Zhang, Laura Balzano
Global Inference to Chinese Temporal Relation Extraction
Peifeng Li, Qiaoming Zhu, Guodong Zhou et al.
Globally Optimal Manhattan Frame Estimation in Real-Time
Kyungdon Joo, Tae-Hyun Oh, Junsik Kim et al.
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach
Behrooz Nasihatkon, Frida Fejne, Fredrik Kahl
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
Antoine Gautier, Quynh N Nguyen, Matthias Hein
Globally Sparse Probabilistic PCA
Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche
Global Optimality of Local Search for Low Rank Matrix Recovery
Srinadh Bhojanapalli, Behnam Neyshabur, Nati Srebro
gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity
Rhiannon Rose, Daniel Lizotte