ajfisch / conformal-cascadesLinks
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
☆20Updated 4 years ago
Alternatives and similar repositories for conformal-cascades
Users that are interested in conformal-cascades are comparing it to the libraries listed below
Sorting:
- Code for paper "When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data"☆14Updated 4 years ago
- This repository contains some of the code used in the paper "Training Language Models with Langauge Feedback at Scale"☆27Updated 2 years ago
- CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction (arXiv 22)☆13Updated 3 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 4 years ago
- This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"☆19Updated 3 years ago
- Official Code Repo for the Paper: "How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions", In NeurIPS 2…☆40Updated 2 years ago
- Code for Residual Energy-Based Models for Text Generation in PyTorch.☆25Updated 4 years ago
- Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces☆58Updated 4 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- ☆13Updated 2 years ago
- Gromov-Wasserstein Alignment of Embeddings☆67Updated 4 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Updated 4 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 7 years ago
- ☆16Updated 3 years ago
- Train poincare embedding using gensim☆19Updated 7 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- Interpretable Neural Predictions with Differentiable Binary Variables☆85Updated 4 years ago
- Code accompanying our paper at AISTATS 2020☆21Updated 4 years ago
- PiRank: Learning to Rank via Differentiable Sorting☆61Updated 2 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- ☆27Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- ☆50Updated 3 years ago
- ☆26Updated 2 years ago
- ☆12Updated 3 years ago
- ☆30Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- dataset for Detecting and Explaining Causes From Text For a Time Series Event, EMNLP'17☆15Updated 5 years ago
- Layerwise Relevance Visualization in Convolutional Text Graph Classifiers☆12Updated 4 years ago