Papers
176,624 papers found
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
Learning from Corrupted Binary Labels via Class-Probability Estimation
Aditya Menon, Brendan Van Rooyen, Cheng Soon Ong et al.
Learning from Data with Heterogeneous Noise using SGD
Shuang Song, Kamalika Chaudhuri, Anand Sarwate
Learning From Massive Noisy Labeled Data for Image Classification
Tong Xiao, Tian Xia, Yi Yang et al.
Learning From Small Samples: An Analysis of Simple Decision Heuristics
Ozgur Simsek, Marcus Buckmann
Learning Graph Structure for Multi-Label Image Classification via Clique Generation
Mingkui Tan, Qinfeng Shi, Anton van den Hengel et al.
Learning Hypergraph-Regularized Attribute Predictors
Sheng Huang, Mohamed Elhoseiny, Ahmed Elgammal et al.
Learning Image and User Features for Recommendation in Social Networks
Xue Geng, Hanwang Zhang, Jingwen Bian et al.