benbo / interactive-weak-supervision
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
☆30Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for interactive-weak-supervision
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆34Updated 3 years ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated last year
- ☆18Updated 2 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- ☆24Updated 6 months ago
- A weak supervision framework for (partial) labeling functions☆14Updated 4 months ago
- Official code for the paper: "Metadata Archaeology"☆18Updated last year
- ☆35Updated last year
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 3 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆49Updated last year
- diagNNose is a Python library that facilitates a broad set of tools for analysing hidden activations of neural models.☆81Updated last year
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆38Updated 7 months ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Code for "Rissanen Data Analysis: Examining Dataset Characteristics via Description Length" by Ethan Perez, Douwe Kiela, and Kyungyhun Ch…☆35Updated 3 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- Measuring if attention is explanation with ROAR☆22Updated last year
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆37Updated 2 years ago
- Experiments on GPT-3's ability to fit numerical models in-context.☆14Updated 2 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- Ranking of fine-tuned HF models as base models.☆35Updated last year
- AdaCat☆49Updated 2 years ago
- Label shift experiments☆15Updated 3 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆35Updated 2 years ago
- My explorations into editing the knowledge and memories of an attention network☆34Updated last year
- ☆42Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 3 years ago