Weakly Supervised Learning

Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Machine Translation With Weakly Paired Documents EMNLP 2019 Mapping (Dis-)Information Flow about the MH17 Plane Crash EMNLP 2019 MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING ICLR 2019 MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition CVPR 2019 Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting NeurIPS 2019 MineRL: A Large-Scale Dataset of Minecraft Demonstrations IJCAI 2019 Minimally Supervised Learning of Affective Events Using Discourse Relations EMNLP 2019 Minimal Variance Sampling in Stochastic Gradient Boosting NeurIPS 2019 Mining Entity Synonyms with Efficient Neural Set Generation AAAI 2019 Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision ACL 2019 Modelling Instance-Level Annotator Reliability for Natural Language Labelling Tasks NAACL 2019 Modularized Textual Grounding for Counterfactual Resilience CVPR 2019 MOROCO: The Moldavian and Romanian Dialectal Corpus ACL 2019 Multi-class classification without multi-class labels ICLR 2019 Multiclass Learning from Contradictions NeurIPS 2019 Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data EMNLP 2019 Multiple Instance Learning for ECG Risk Stratification MLHC 2019 Multi-Resolution Weak Supervision for Sequential Data NeurIPS 2019 Multi-Source Weak Supervision for Saliency Detection CVPR 2019 Multi-Task, Multi-Channel, Multi-Input Learning for Mental Illness Detection using Social Media Text EMNLP 2019 Named Entity Recognition with Partially Annotated Training Data CoNLL 2019 Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision ACL 2019 Neural Duplicate Question Detection without Labeled Training Data EMNLP 2019