WeSTClass[CIKM 2018] Weakly-Supervised Neural Text Classification
WSCNNTDSaliency[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
RIBReducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021)
WeFEND-AAAI20Dataset for paper "Weak Supervision for Fake News Detection via Reinforcement Learning" published in AAAI'2020.
HiGitClassHiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)
ASTRASelf-training with Weak Supervision (NAACL 2021)
just-ask[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos
GAL-fWSDGenerative Adversarial Learning Towards Fast Weakly Supervised Detection
MetaCatMinimally Supervised Categorization of Text with Metadata (SIGIR'20)
TS-CAMCodes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
Awesome-Weak-Shot-LearningA curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.
deviation-networkSource code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
SPMLUniversal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
knodleA PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
C2CImplementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
troveWeakly supervised medical named entity classification
weaselWeakly Supervised End-to-End Learning (NeurIPS 2021)
WeSHClass[AAAI 2019] Weakly-Supervised Hierarchical Text Classification
WSDECWeakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.
WS3DOfficial version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Learning-From-RulesImplementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
concept-based-xaiLibrary implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
WSL4MISScribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.
RSC-NetImplementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
DiscoBoxThe Official PyTorch Implementation of DiscoBox.
wrenchWRENCH: Weak supeRvision bENCHmark
reefAutomatically labeling training data
MCIS wsssCode for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation