Weakly Supervised Learning

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model AAAI 2021 DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation AAAI 2021 Dependent Multi-Task Learning with Causal Intervention for Image Captioning IJCAI 2021 Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels MLHC 2021 Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media EMNLP 2021 Detecting Hashtag Hijacking for Hashtag Activism ACL 2021 Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021 Detecting Human-Object Interaction With Mixed Supervision WACV 2021 Detecting Moments and Highlights in Videos via Natural Language Queries NeurIPS 2021 Detecting Propaganda Techniques in Memes ACL 2021 Detection and Continual Learning of Novel Face Presentation Attacks ICCV 2021 Detector-Free Weakly Supervised Grounding by Separation ICCV 2021 Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring AAAI 2021 Directional Bias Amplification ICML 2021 Disambiguation of Weak Supervision leading to Exponential Convergence rates ICML 2021 DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision ICCV 2021 Discourse-Based Sentence Splitting EMNLP 2021 Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021 ACL 2021 Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering EMNLP 2021 Discriminative Complementary-Label Learning with Weighted Loss ICML 2021 Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation AAAI 2021 Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation EMNLP 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021 Distantly Supervised Transformers For E-Commerce Product QA NAACL 2021 DisUnknown: Distilling Unknown Factors for Disentanglement Learning ICCV 2021