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awesome-weak-supervision
A curated list of programmatic weak supervision papers and resources
https://github.com/jieyuz2/awesome-weak-supervision
Last synced: 3 days ago
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Blogs
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Videos
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Lecture Notes
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Workshops
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Survey
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Dataset and Benchmark
- WRENCH: A Comprehensive Benchmark for Weak Supervision
- codebase
- WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
- codebase
- AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
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- SPEAR : Semi-supervised Data Programming in Python
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- Documentation
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Algorithm
- Data Programming: Creating Large Training Sets, Quickly
- Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data - NeurIPS 2016```
- Training Complex Models with Multi-Task Weak Supervision
- Data Programming using Continuous and Quality-Guided Labeling Functions
- Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods
- KnowMAN: Weakly Supervised Multinomial Adversarial Network
- End-to-End Weak Supervision
- Creating Training Sets via Weak Indirect Supervision
- Universalizing Weak Supervision
- Learning from Multiple Noisy Partial Labelers
- Firebolt: Weak Supervision Under Weaker Assumptions
- Learning the Structure of Generative Models without Labeled Data
- Inferring Generative Model Structure with Static Analysis
- Learning Dependency Structures for Weak Supervision Models
- Dependency Structure Misspecification in Multi-Source Weak Supervision Models - WeaSul 2019```
- Pairwise Feedback for Data Programming
- Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision
- Binary Classification with Positive Labeling Sources
- Understanding Programmatic Weak Supervision via Source-aware Influence Function
- Training Subset Selection for Weak Supervision
- Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
- Learning Hyper Label Model for Programmatic Weak Supervision
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Weak Supervision Sources Generation
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
- Snuba: Automating Weak Supervision to Label Training Data
- Interactive Programmatic Labeling for Weak Supervision - Wang ```KDD Workshop 2019```
- Adaptive Rule Discovery for Labeling Text Data
- Weakly Supervised Named Entity Tagging with Learnable Logical Rules
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
- Classifying Unstructured Clinical Notes via Automatic Weak Supervision
- Witan: Unsupervised Labelling Function Generation for Assisted Data Programming
- Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming - Yu Hsieh ```VLDB 2023```
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System
- Snorkel: Rapid Training Data Creation with Weak Supervision
- Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
- Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design
- Overton: A Data System for Monitoring and Improving Machine-Learned Products
- Ruler: Data Programming by Demonstration for Document Labeling
- skweak: Weak Supervision Made Easy for NLP
- Demonstration of Panda: A Weakly Supervised Entity Matching System
- Inspector Gadget: A Data Programming-based Labeling System for Industrial Images
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Weak Supervision with Labeled Data
- Learning from Rules Generalizing Labeled Exemplars
- Self-Training with Weak Supervision
- Semi-Supervised Aggregation of Dependent Weak Supervision Sources with Performance Guarantees
- Adversarial Multiclass Learning under Weak Supervision with Performance Guarantees
- Semi-Supervised Data Programming with Subset Selection
- Active WeaSuL: Improving Weak Supervision with Active Learning
- DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
- Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
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Application
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NLP
- Deep Text Mining of Instagram Data without Strong Supervision
- Bootstrapping Conversational Agents With Weak Supervision
- Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
- Training Classifiers with Natural Language Explanations
- Weakly Supervised Sequence Tagging from Noisy Rules
- NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction
- Named Entity Recognition without Labelled Data: A Weak Supervision Approach
- Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News - PKDD 2020```
- Learning with Weak Supervision for Email Intent Detection
- Understanding the Dynamics between Vaping and Cannabis Legalization Using Twitter Opinions - ICWSM 2021```
- Denoising Multi-Source Weak Supervision for Neural Text Classification
- Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
- Heterogeneous Graph Neural Networks for Concept Prerequisite Relation Learning in Educational Data
- Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems
- Bootstrapping a Music Voice Assistant with Weak Supervision
- BERTifying Hidden Markov Models for Multi-Source Weakly Supervised Named Entity Recognition
- HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs
- Controllable Abstractive Dialogue Summarization with Sketch Supervision - Sheng Wu ```ACL 2021 Findings```
- Named Entity Recognition through Deep Representation Learning and Weak Supervision
- Weakly supervised discourse segmentation for multiparty oral conversations
- Adaptive Ranking-based Data Selection for Weakly supervised Class-imbalanced Text Classification
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CV
- Scene Graph Prediction with Limited Labels
- Multi-Resolution Weak Supervision for Sequential Data
- Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels
- GOGGLES: Automatic Image Labeling with Affinity Coding
- Cut out the annotator, keep the cutout: better segmentation with weak supervision
- Task Programming: Learning Data Efficient Behavior Representations
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Others
- Multi-frame Weak Supervision to Label Wearable Sensor Data
- Generating Training Labels for Cardiac Phase-Contrast MRI Images - NeurIPS 2017```
- Osprey: Weak Supervision of Imbalanced Extraction Problems without Code
- Weakly Supervised Classification of Rare Aortic Valve Malformations Using Unlabeled Cardiac MRI Sequences
- Doubly Weak Supervision of Deep Learning Models for Head CT
- A clinical text classification paradigm using weak supervision and deep representation
- A machine-compiled database of genome-wide association studies
- Weak Supervision as an Efficient Approach for Automated Seizure Detection in Electroencephalography
- Extracting Chemical Reactions From Text Using Snorkel
- Cross-Modal Data Programming Enables Rapid Medical Machine Learning
- SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
- Ontology-driven weak supervision for clinical entity classification in electronic health records
- Utilizing Weak Supervision to Infer Complex Objects and Situations in Autonomous Driving Data
- Applying Weak Supervision to Mobile Sensor Data: Experiences with Transport Mode Detection
- Exploring Inspiration Sets in a Data Programming Pipeline for Product Moderation
- Detecting Hashtag Hijacking for Hashtag Activism
- CHECKER: Detecting Clickbait Thumbnails with Weak Supervision and Co-Teaching - PKDD 2021```
- DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery - PKDD 2021```
- Weak Supervision for Affordable Modeling of Electrocardiogram Data
- Fraud Detection under Multi-Sourced Extremely Noisy Annotations
- Multi-Source Domain Adaptation with Weak Supervision for Early Fake News Detection
- Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact
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RL
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Software Engineering
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Weak Supervision for Active Learning
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Thesis
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Other Weak Supervision Paradigm
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Label-name Only Supervision
- Weakly-Supervised Neural Text Classification
- Weakly-Supervised Hierarchical Text Classification
- Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
- Text Classification Using Label Names Only: A Language Model Self-Training Approach
- Hierarchical Metadata-Aware Document Categorization under Weak Supervision
- Contextualized weak supervision for text classification
- Meta: Metadata-empowered weak supervision for text classification
- X-class: Text classification with extremely weak supervision
- Coarse2Fine: Fine-grained text classification on coarsely-grained annotated data
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Improving Weak Supervision
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Programming Languages
Categories
Sub Categories
Keywords