Weakly Supervised Learning

The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019 This Looks Like That: Deep Learning for Interpretable Image Recognition NeurIPS 2019 Towards Interpretable Object Detection by Unfolding Latent Structures ICCV 2019 Towards Precise End-to-End Weakly Supervised Object Detection Network ICCV 2019 Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach AAAI 2019 Training Complex Models with Multi-Task Weak Supervision AAAI 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019 Transfer Learning Between Related Tasks Using Expected Label Proportions EMNLP 2019 Two-Stage Training for Chinese Dialect Recognition Interspeech 2019 Uncoupled Regression from Pairwise Comparison Data NeurIPS 2019 Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels ICML 2019 Understanding Pictograph with Facial Features: End-to-End Sentence-Level Lip Reading of Chinese AAAI 2019 Unified Semantic Parsing with Weak Supervision ACL 2019 Unsupervised Cross-Lingual Representation Learning ACL 2019 Unsupervised Label Noise Modeling and Loss Correction ICML 2019 Unsupervised Learning of the Set of Local Maxima ICLR 2019 Violence Rating Prediction from Movie Scripts AAAI 2019 Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning ICCV 2019 Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection ICCV 2019 Weakly-Supervised Action Localization With Background Modeling ICCV 2019 Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval EMNLP 2019 Weakly Supervised Attention Networks for Entity Recognition EMNLP 2019 Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health EMNLP 2019 Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up CVPR 2019 Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings EMNLP 2019