Weakly Supervised Learning

Learning Granger Causality for Hawkes Processes ICML 2016 Learning to translate from graded and negative relevance information COLING 2016 Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016 LOMo: Latent Ordinal Model for Facial Analysis in Videos CVPR 2016 Loss factorization, weakly supervised learning and label noise robustness ICML 2016 Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs ICML 2016 Mixture Proportion Estimation via Kernel Embeddings of Distributions ICML 2016 More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning NeurIPS 2016 Multi-Label Ranking From Positive and Unlabeled Data CVPR 2016 Multiple-Instance Learning from Distributions JMLR 2016 Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016 NetVLAD: CNN Architecture for Weakly Supervised Place Recognition CVPR 2016 Noisy Label Recovery for Shadow Detection in Unfamiliar Domains CVPR 2016 No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing ICML 2016 One-class classification of point patterns of extremes JMLR 2016 Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network CVPR 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing CVPR 2016 ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation CVPR 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary COLING 2016 SketchNet: Sketch Classification With Web Images CVPR 2016 SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition CVPR 2016 Synergy of Monotonic Rules JMLR 2016 Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning NeurIPS 2016