hsouri / BayesianTransferLearning
☆109Updated 2 years ago
Alternatives and similar repositories for BayesianTransferLearning:
Users that are interested in BayesianTransferLearning are comparing it to the libraries listed below
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆40Updated 2 years ago
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- ☆45Updated 2 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆86Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- ☆15Updated 3 years ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last month
- Reusable BatchBALD implementation☆79Updated last year
- C-Mixup for NeurIPS 2022☆70Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆121Updated 3 years ago
- ☆107Updated last year
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated last year
- Deep Learning & Information Bottleneck☆60Updated last year
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 11 months ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆38Updated 6 months ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 5 months ago
- ☆146Updated last year
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆51Updated 3 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago