Papers
Graphical Time Warping for Joint Alignment of Multiple Curves
Yizhi Wang, David J. Miller, Kira Poskanzer et al.
Graphons, mergeons, and so on!
Justin Eldridge, Mikhail Belkin, Yusu Wang
Greedy Feature Construction
Dino Oglic, Thomas Gärtner
Guided Policy Search via Approximate Mirror Descent
William H Montgomery, Sergey Levine
Hardness of Online Sleeping Combinatorial Optimization Problems
Satyen Kale, Chansoo Lee, David Pal
Hierarchical Clustering via Spreading Metrics
Aurko Roy, Sebastian Pokutta
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi et al.
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition
Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes
Hierarchical Question-Image Co-Attention for Visual Question Answering
Jiasen Lu, Jianwei Yang, Dhruv Batra et al.
High Dimensional Structured Superposition Models
Qilong Gu, Arindam Banerjee
Higher-Order Factorization Machines
Mathieu Blondel, Akinori Fujino, Naonori Ueda et al.
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
Kameron D Harris, Stefan Mihalas, Eric Shea-Brown
Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$
Yi Xu, Yan Yan, Qihang Lin et al.
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
Sven Eberhardt, Jonah G Cader, Thomas Serre
Human Decision-Making under Limited Time
Pedro A Ortega, Alan Stocker
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease
Hao Zhou, Vamsi K Ithapu, Sathya Narayanan Ravi et al.
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang
Improved Dropout for Shallow and Deep Learning
Zhe Li, Boqing Gong, Tianbao Yang
Improved Error Bounds for Tree Representations of Metric Spaces
Samir Chowdhury, Facundo Mémoli, Zane T Smith
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy et al.
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba et al.
Improved Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz et al.