hsouri / BayesianTransferLearning
☆108Updated 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…☆39Updated last year
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆82Updated 3 months ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆85Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Updated last year
- A benchmark for distribution shift in tabular data☆50Updated 8 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Last-layer Laplace approximation code examples☆83Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆134Updated last year
- C-Mixup for NeurIPS 2022☆68Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆148Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆118Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- ☆44Updated 2 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 10 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 9 months ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆25Updated last year
- ☆58Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- ☆107Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆62Updated 2 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- TabDPT: Scaling Tabular Foundation Models☆25Updated 2 weeks ago