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Weakly Supervised Learning

3895 directly classified papers

Papers per year

Papers

We Don't Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification CVPR 2016
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing JMLR 2016
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy MLHC 2016
WarpNet: Weakly Supervised Matching for Single-View Reconstruction CVPR 2016
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model ICML 2016
“All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter COLING 2016
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NIPS 2016
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning NIPS 2016
Weakly Supervised Object Localization With Progressive Domain Adaptation CVPR 2016
Ambiguity Helps: Classification With Disagreements in Crowdsourced Annotations CVPR 2016
Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection 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
Saliency Guided Dictionary Learning for Weakly-Supervised Image Parsing CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016
Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016
Defining Emotionally Salient Regions Using Qualitative Agreement Method INTERSPEECH 2016
Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary COLING 2016
Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction CVPR 2016
Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency CVPR 2016
LOMo: Latent Ordinal Model for Facial Analysis in Videos CVPR 2016
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition CVPR 2016
Loss factorization, weakly supervised learning and label noise robustness ICML 2016
Estimating the class prior and posterior from noisy positives and unlabeled data NIPS 2016