zlin7 / LVDLinks
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
☆13Updated 2 years ago
Alternatives and similar repositories for LVD
Users that are interested in LVD are comparing it to the libraries listed below
Sorting:
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆9Updated 4 years ago
- Conformal Language Modeling☆31Updated last year
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆113Updated 2 weeks ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- An Empirical Framework for Domain Generalization In Clinical Settings☆31Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆132Updated 2 months ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆128Updated 8 months ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 5 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆20Updated 2 years ago
- Localizing Memorized Sequences in Language Models☆17Updated 3 months ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆156Updated last year
- Repository for ICLR'23 Long-tailed Learning Requires Feature Learning☆10Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆48Updated 3 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆21Updated last year
- ☆66Updated 2 years ago
- PyTorch implementation for Neural Additive Models☆24Updated 4 years ago
- A list of papers for group meeting☆16Updated 2 months ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆199Updated 4 months ago
- Optimal Transport Dataset Distance☆167Updated 3 years ago
- ☆27Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆69Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆19Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year