BlackHC / batchbald_reduxLinks
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
Sorting:
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Updated last year
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆152Updated 3 years ago
- ☆40Updated 5 years ago
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 7 months ago
- Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" ht…☆128Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)☆129Updated 4 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Algorithms for abstention, calibration and domain adaptation to label shift.☆37Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆206Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆210Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆255Updated 2 years ago
- ☆111Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 years ago