Papers
Learning Populations of Parameters
Kevin Tian, Weihao Kong, Gregory Valiant
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks
Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt, Michael Moller, Caner Hazirbas et al.
Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
Paul Vernaza, Manmohan Chandraker
Learning RBM with a DC programming Approach
Vidyadhar Upadhya, P. S. Sastry
Learning ReLUs via Gradient Descent
Mahdi Soltanolkotabi
Learning Residual Images for Face Attribute Manipulation
Wei Shen, Rujie Liu
Learning Robotic Manipulation of Granular Media
Connor Schenck, Jonathan Tompson, Sergey Levine et al.
Learning Robot Objectives from Physical Human Interaction
Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley et al.
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai, Liang-Kang Huang, Ruslan Salakhutdinov
Learning Scalable Deep Kernels with Recurrent Structure
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi et al.
Learning Semantic Correspondences in Technical Documentation
Kyle Richardson, Jonas Kuhn
Learning Sentence Representation with Guidance of Human Attention
Shaonan Wang, Jiajun Zhang, Chengqing Zong
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani, Hao Su, Leonidas J. Guibas et al.
Learning Similarity Functions for Pronunciation Variations
Einat Naaman, Yossi Adi, Joseph Keshet
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
Mingmin Zhao, Shichao Yue, Dina Katabi et al.
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le, Raksha Kumaraswamy, Martha White
Learning Spatial Regularization With Image-Level Supervisions for Multi-Label Image Classification
Feng Zhu, Hongsheng Li, Wanli Ouyang et al.
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE, Juliette Chevallier, Stephane Oudard
Learning Spatio-Temporal Representation With Pseudo-3D Residual Networks
Zhaofan Qiu, Ting Yao, Tao Mei
Learning Spherical Convolution for Fast Features from 360° Imagery
Yu-Chuan Su, Kristen Grauman
Learning Spread-Out Local Feature Descriptors
Xu Zhang, Felix X. Yu, Sanjiv Kumar et al.
Learning Stable Stochastic Nonlinear Dynamical Systems
Jonas Umlauft, Sandra Hirche
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
Jose R. Medina, Aude Billard
Learning Stock Market Sentiment Lexicon and Sentiment-Oriented Word Vector from StockTwits
Quanzhi Li, Sameena Shah