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:
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Updated 2 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆26Updated 3 years ago
- Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…☆116Updated 5 months ago
- Conformal Language Modeling☆32Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆42Updated 3 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle☆21Updated 2 years ago
- A benchmark for distribution shift in tabular data☆57Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆84Updated 2 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆25Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- PyTorch implementation for Neural Additive Models☆25Updated 5 years ago
- Repository for ICLR'23 Long-tailed Learning Requires Feature Learning☆10Updated 2 years ago
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆133Updated last year
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆140Updated 3 months ago
- Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value (ICML 2023)☆21Updated 2 years ago
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- A benchmark of meaningful graph datasets with tabular node features☆14Updated last month
- ☆38Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆53Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆164Updated last year
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆33Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆76Updated 3 years ago