rajevv / Multi_L2DLinks
Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]
☆12Updated 2 years ago
Alternatives and similar repositories for Multi_L2D
Users that are interested in Multi_L2D are comparing it to the libraries listed below
Sorting:
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆11Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆24Updated last year
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Welcome to Uncertainty Metrics! The goal of this library is to provide an easy-to-use interface for both measuring uncertainty across Goo…☆24Updated 4 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆61Updated 3 months ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆24Updated 2 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆20Updated 2 years ago
- ☆14Updated 3 years ago
- ☆17Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 8 months ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆77Updated 3 years ago
- [ICML 2021] Kernel Continual Learning☆7Updated 3 years ago
- ☆32Updated last year
- ☆18Updated last year
- ☆10Updated 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
- [CVPRW 2024] Conformal prediction for uncertainty quantification in image segmentation☆23Updated 8 months ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Updated last year
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- [ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations☆23Updated 2 years ago
- A Library for Minimax Risk Classifiers☆31Updated last year
- A method to generate counterfactuals☆12Updated 4 months ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆143Updated 2 years ago
- A repository for reproducing the results in Selection by Prediction paper☆15Updated 2 years ago
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆64Updated 2 months ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆23Updated 3 years ago
- ☆11Updated last year