hsouri / BayesianTransferLearning
☆109Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for BayesianTransferLearning
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆37Updated last year
- Last-layer Laplace approximation code examples☆80Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- ☆41Updated last year
- ☆105Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆80Updated 3 weeks ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆83Updated 2 years ago
- C-Mixup for NeurIPS 2022☆66Updated 11 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆40Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆116Updated 2 years ago
- Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!☆68Updated 6 months ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆175Updated 4 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆121Updated 2 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- ☆141Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆146Updated last year
- ☆58Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆38Updated last year
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆23Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆67Updated 6 months ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆63Updated last year
- ☆58Updated 2 years ago
- Model Zoos published at the NeurIPS 2022 Dataset & Benchmark track: "Model Zoos: A Dataset of Diverse Populations of Neural Network Model…☆54Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 7 months ago
- Deep Learning & Information Bottleneck☆50Updated last year
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆32Updated last year