hsouri / BayesianTransferLearningLinks
☆109Updated 2 years ago
Alternatives and similar repositories for BayesianTransferLearning
Users that are interested in BayesianTransferLearning are comparing it to the libraries listed below
Sorting:
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…☆41Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆36Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆83Updated last week
- ☆107Updated last year
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆150Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated last year
- ☆45Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆87Updated 3 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- A PyTorch reproduction of 'A Simple Framework for Contrastive Learning of Visual Representations' by Ting Chen, et al.☆48Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- Official Pytorch's implementation of RotoGrad☆78Updated last year
- ☆58Updated 3 years ago
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- Reusable BatchBALD implementation☆79Updated last year
- A benchmark for distribution shift in tabular data☆53Updated last year
- C-Mixup for NeurIPS 2022☆70Updated last year
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆143Updated 2 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆34Updated last year