Papers
FusionSeg: Learning to Combine Motion and Appearance for Fully Automatic Segmentation of Generic Objects in Videos
Suyog Dutt Jain, Bo Xiong, Kristen Grauman
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition
Qilong Wang, Peihua Li, Lei Zhang
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
Kevin Hsieh, Aaron Harlap, Nandita Vijaykumar et al.
Gain Compensation for Fast i-Vector Extraction Over Short Duration
Kong Aik Lee, Haizhou Li
Game Engine Learning from Video
Matthew Guzdial, Boyang Li, Mark O. Riedl
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner et al.
Gap Safe Screening Rules for Sparsity Enforcing Penalties
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort et al.
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and its Correlation with Phoneme Boundaries
Yu-Hsuan Wang, Cheng-Tao Chung, Hung-Yi Lee
Gated-Attention Readers for Text Comprehension
Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang et al.
Gated End-to-End Memory Networks
Fei Liu, Julien Perez
Gated Feedback Refinement Network for Dense Image Labeling
Md Amirul Islam, Mrigank Rochan, Neil D. B. Bruce et al.
Gated Recurrent Convolution Neural Network for OCR
Jianfeng Wang, Xiaolin Hu
Gated Self-Matching Networks for Reading Comprehension and Question Answering
Wenhui Wang, Nan Yang, Furu Wei et al.
Gauging Variational Inference
Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin
Gaussian Prediction Based Attention for Online End-to-End Speech Recognition
Junfeng Hou, Shiliang Zhang, Li-Rong Dai
Gaussian process based nonlinear latent structure discovery in multivariate spike train data
Anqi Wu, Nicholas A. Roy, Stephen Keeley et al.
Gaussian Quadrature for Kernel Features
Tri Dao, Christopher M De Sa, Christopher Ré
Gaze Embeddings for Zero-Shot Image Classification
Nour Karessli, Zeynep Akata, Bernt Schiele et al.
GDL-III: A Description Language for Epistemic General Game Playing
Michael Thielscher
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
Yong Luo, Yonggang Wen, Tongliang Liu et al.
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
Sanjeev Arora, Rong Ge, Yingyu Liang et al.
Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro et al.
Generalization for Adaptively-chosen Estimators via Stable Median
Vitaly Feldman, Thomas Steinke