BlackHC / batchbald_redux
Reusable BatchBALD implementation
☆78Updated last year
Alternatives and similar repositories for batchbald_redux:
Users that are interested in batchbald_redux are comparing it to the libraries listed below
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- ☆40Updated 4 years ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- An implementation of the BADGE batch active learning algorithm.☆204Updated 9 months ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆137Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆238Updated 9 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆147Updated 2 years ago
- Combating hidden stratification with GEORGE☆63Updated 3 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- ☆66Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- NumPy library for calibration metrics☆69Updated last month
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- ☆50Updated 2 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Belief matching framework official implementation☆39Updated 2 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆102Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆148Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆48Updated 3 years ago