Weakly Supervised Learning

Deep Multiple Instance Learning for Image Classification and Auto-Annotation CVPR 2015 Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning CVPR 2015 Discovering the Spatial Extent of Relative Attributes ICCV 2015 Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning CVPR 2015 Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution CVPR 2015 Fine-Grained Recognition Without Part Annotations CVPR 2015 Fixation Bank: Learning to Reweight Fixation Candidates CVPR 2015 From Image-Level to Pixel-Level Labeling With Convolutional Networks CVPR 2015 Harvesting Discriminative Meta Objects With Deep CNN Features for Scene Classification ICCV 2015 Is Object Localization for Free? - Weakly-Supervised Learning With Convolutional Neural Networks CVPR 2015 Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold CVPR 2015 Learning from Corrupted Binary Labels via Class-Probability Estimation ICML 2015 Learning From Massive Noisy Labeled Data for Image Classification CVPR 2015 Learning to Combine Mid-Level Cues for Object Proposal Generation ICCV 2015 Learning to Segment Under Various Forms of Weak Supervision CVPR 2015 Learning Using Privileged Information: Similarity Control and Knowledge Transfer JMLR 2015 Learning Where to Position Parts in 3D ICCV 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Learning with Relaxed Supervision NeurIPS 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015 Matrix Completion for Resolving Label Ambiguity CVPR 2015 Maximum Margin Partial Label Learning ACML 2015 Max-Margin Majority Voting for Learning from Crowds NeurIPS 2015 Multi-instance multi-label learning in the presence of novel class instances ICML 2015 Multiple Instance Learning for Soft Bags via Top Instances CVPR 2015