Papers
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 Coherent Text Generation with Neural Checklist Models
Chloé Kiddon, Luke Zettlemoyer, Yejin Choi
Globally Normalized Transition-Based Neural Networks
Daniel Andor, Chris Alberti, David Weiss 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 Neural CCG Parsing with Optimality Guarantees
Kenton Lee, Mike Lewis, Luke Zettlemoyer
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
Glottal Squeaks in VC Sequences
Míša Hejná, Pertti Palo, Scott Moisik
GlottDNN — A Full-Band Glottal Vocoder for Statistical Parametric Speech Synthesis
Manu Airaksinen, Bajibabu Bollepalli, Lauri Juvela et al.
GMM-Free Flat Start Sequence-Discriminative DNN Training
Gábor Gosztolya, Tamás Grósz, László Tóth
Goal Recognition Design with Stochastic Agent Action Outcomes
Christabel Wayllace, Ping Hou, William Yeoh et al.
GOGMA: Globally-Optimal Gaussian Mixture Alignment
Dylan Campbell, Lars Petersson