Papers
Incremental Global Event Extraction
Alex Judea, Michael Strube
Incrementally Learning a Dependency Parser to Support Language Documentation in Field Linguistics
Morgan Ulinski, Julia Hirschberg, Owen Rambow
Incremental Object Discovery in Time-Varying Image Collections
Theodora Kontogianni, Markus Mathias, Bastian Leibe
Incremental Task and Motion Planning: A Constraint-Based Approach
Neil T. Dantam, Zachary K. Kingston, Swarat Chaudhuri et al.
Incremental Variational Sparse Gaussian Process Regression
Ching-An Cheng, Byron Boots
In Defense of Sparse Tracking: Circulant Sparse Tracker
Tianzhu Zhang, Adel Bibi, Bernard Ghanem
Individual Identity in Songbirds: Signal Representations and Metric Learning for Locating the Information in Complex Corvid Calls
Dan Stowell, Veronica Morfi, Lisa F. Gill
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization
Meng Zhang, Yang Liu, Huanbo Luan et al.
Inducing Multilingual Text Analysis Tools Using Bidirectional Recurrent Neural Networks
Othman Zennaki, Nasredine Semmar, Laurent Besacier
Inextensible Non-Rigid Shape-From-Motion by Second-Order Cone Programming
Ajad Chhatkuli, Daniel Pizarro, Toby Collins et al.
Inference by Reparameterization in Neural Population Codes
Rajkumar Vasudeva Raju, Zachary Pitkow
Inference for High-dimensional Exponential Family Graphical Models
Jialei Wang, Mladen Kolar
Inference Networks for Sequential Monte Carlo in Graphical Models
Brooks Paige, Frank Wood
Inferring Discourse Relations from PDTB-style Discourse Labels for Argumentative Revision Classification
Fan Zhang, Diane Litman, Katherine Forbes Riley
Inferring Forces and Learning Human Utilities From Videos
Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao et al.
Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques
Thomas Pellegrini, Sandrine Mouysset
Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang, Peng Lin, Peng Lin et al.
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
Xi Chen, Yan Duan, Rein Houthooft et al.
Information Bottleneck Learning Using Privileged Information for Visual Recognition
Saeid Motiian, Marco Piccirilli, Donald A. Adjeroh et al.
Information-Driven Adaptive Structured-Light Scanners
Guy Rosman, Daniela Rus, John W. Fisher III
Information-theoretic thresholds for community detection in sparse networks
Jess Banks, Cristopher Moore, Joe Neeman et al.
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels
Céline Brouard, Marie Szafranski, Florence d'Alché-Buc
Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring
Konstantinos Georgatzis, Chris Williams, Christopher Hawthorne
Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks
Sean Bell, C. Lawrence Zitnick, Kavita Bala et al.