duke-mlss / Duke-NLP-WS-2020Links
Duke Natural Language Processing Winter School 2020
☆21Updated 5 years ago
Alternatives and similar repositories for Duke-NLP-WS-2020
Users that are interested in Duke-NLP-WS-2020 are comparing it to the libraries listed below
Sorting:
- Experiments with experimental rule-based models to go along with imodels.☆18Updated last month
- Time-Aware Transformer-based Network for Clinical Notes Series Prediction☆24Updated last year
- An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks☆11Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆14Updated 2 years ago
- ☆16Updated last year
- Dataset containing 7,025 discharge summary notes from the MIMIC III dataset annotated for 7 SBDHs☆18Updated 3 years ago
- ☆25Updated 4 years ago
- Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18☆24Updated 5 years ago
- ☆30Updated last year
- Code and data for "Heterogeneous Supervised Topic Models"☆11Updated 3 years ago
- Code and webpages for our study on teaching humans to defer to an AI☆12Updated 2 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆15Updated 2 years ago
- ☆14Updated 3 years ago
- Efficient Conformal Prediction via Cascaded Inference with Expanded Admission☆20Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Updated 4 years ago
- The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…☆11Updated 2 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆43Updated 2 years ago
- ☆18Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆66Updated last year
- Neural Additive Models (Google Research)☆73Updated 4 years ago
- A library for handling Structural Causal Models and performing interventional and counterfactual inference on them.☆11Updated 5 years ago
- ☆38Updated 3 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Dual Adversarial Autoencoder for Generating Set-valued Sequences☆19Updated 4 years ago
- Find text features that are most related to an outcome, controlling for confounds.☆60Updated last year
- ☆32Updated 7 years ago
- ☆18Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Causing: CAUsal INterpretation using Graphs☆60Updated last week