Papers
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
Alex M Lamb, Devon Hjelm, Yaroslav Ganin et al.
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
Jun Liu, Gang Wang, Ping Hu et al.
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
Prateek Jain, Chi Jin, Sham Kakade et al.
Global Hypothesis Generation for 6D Object Pose Estimation
Frank Michel, Alexander Kirillov, Eric Brachmann et al.
Globally Induced Forest: A Prepruning Compression Scheme
Jean-Michel Begon, Arnaud Joly, Pierre Geurts
Globally Normalized Reader
Jonathan Raiman, John Miller
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
Alon Brutzkus, Amir Globerson
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
Heike Adel, Hinrich Schütze
Global Optimality in Neural Network Training
Benjamin D. Haeffele, Rene Vidal
Global optimization of Lipschitz functions
Cédric Malherbe, Nicolas Vayatis
Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions
Rui Zhang, Sheng Tang, Min Lin et al.
Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression
Pavlos Papadopoulos, Ruchir Travadi, Shrikanth S. Narayanan
Global Syllable Vectors for Building TTS Front-End with Deep Learning
Jinfu Ni, Yoshinori Shiga, Hisashi Kawai
Glottal Model Based Speech Beamforming for ad-hoc Microphone Arrays
Yang Zhang, Dinei Florêncio, Mark Hasegawa-Johnson
Glottal Opening and Strategies of Production of Fricatives
Benjamin Elie, Yves Laprie
Glottal Source Estimation from Coded Telephone Speech Using a Deep Neural Network
N.P. Narendra, Manu Airaksinen, Paavo Alku
Glottal Source Features for Automatic Speech-Based Depression Assessment
Olympia Simantiraki, Paulos Charonyktakis, Anastasia Pampouchidou et al.
GMS: Grid-based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita et al.
Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
Arzoo Katiyar, Claire Cardie
Good Semi-supervised Learning That Requires a Bad GAN
Zihang Dai, Zhilin Yang, Fan Yang et al.
Google’s Next-Generation Real-Time Unit-Selection Synthesizer Using Sequence-to-Sequence LSTM-Based Autoencoders
Vincent Wan, Yannis Agiomyrgiannakis, Hanna Silen et al.
GP CaKe: Effective brain connectivity with causal kernels
Luca Ambrogioni, Max Hinne, Marcel Van Gerven et al.
GPflow: A Gaussian Process Library using TensorFlow
Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson et al.
Gradient Boosted Decision Trees for High Dimensional Sparse Output
Si Si, Huan Zhang, S. Sathiya Keerthi et al.
Gradient Boosting on Stochastic Data Streams
Hanzhang Hu, Wen Sun, Arun Venkatraman et al.