Papers
Learning an Efficient Model of Hand Shape Variation From Depth Images
Sameh Khamis, Jonathan Taylor, Jamie Shotton et al.
Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition
Hossein Rahmani, Ajmal Mian
Learning a Sequential Search for Landmarks
Saurabh Singh, Derek Hoiem, David Forsyth
Learning Bayesian Networks with Thousands of Variables
Mauro Scanagatta, Cassio P de Campos, Giorgio Corani et al.
Learning Binary Codes for Maximum Inner Product Search
Fumin Shen, Wei Liu, Shaoting Zhang et al.
Learning both Weights and Connections for Efficient Neural Network
Song Han, Jeff Pool, John Tran et al.
Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G Dimakis et al.
Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification
Gong Cheng, Junwei Han, Lei Guo et al.
Learning Common Sense Through Visual Abstraction
Ramakrishna Vedantam, Xiao Lin, Tanmay Batra et al.
Learning Complexity-Aware Cascades for Deep Pedestrian Detection
Zhaowei Cai, Mohammad Saberian, Nuno Vasconcelos
Learning Concept Embeddings With Combined Human-Machine Expertise
Michael Wilber, Iljung S. Kwak, David Kriegman et al.
Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Gregory Wayne, David Silver et al.
Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition
Tinghui Zhou, Philipp Krahenbuhl, Alexei A. Efros
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deep Object Detectors From 3D Models
Xingchao Peng, Baochen Sun, Karim Ali et al.
Learning Deep Representations for Ground-to-Aerial Geolocalization
Tsung-Yi Lin, Yin Cui, Serge Belongie et al.
Learning Deep Representation With Large-Scale Attributes
Wanli Ouyang, Hongyang Li, Xingyu Zeng et al.
Learning Deep Sigmoid Belief Networks with Data Augmentation
Zhe Gan, Ricardo Henao, David Carlson et al.
Learning Deep Structured Models
Liang-Chieh Chen, Alexander Schwing, Alan Yuille et al.
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart, Vincent Lepetit
Learning Discriminative Reconstructions for Unsupervised Outlier Removal
Yan Xia, Xudong Cao, Fang Wen et al.
Learning Efficient Anomaly Detectors from K-NN Graphs
Jonathan Root, Jing Qian, Venkatesh Saligrama
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables
Hossein Hajimirsadeghi, Greg Mori
Learning Equilibria of Games via Payoff Queries
John Fearnley, Martin Gairing, Paul W. Goldberg et al.
Learning Fast-Mixing Models for Structured Prediction
Jacob Steinhardt, Percy Liang