kimjeyoung / SNGP-BERT-PytorchLinks
This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.
☆52Updated 4 years ago
Alternatives and similar repositories for SNGP-BERT-Pytorch
Users that are interested in SNGP-BERT-Pytorch are comparing it to the libraries listed below
Sorting:
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 3 years ago
- Uncertainty Quantification with Pre-trained Language Models: An Empirical Analysis☆15Updated 3 years ago
- How certain is your transformer?☆25Updated 4 years ago
- ☆35Updated 3 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.☆53Updated 2 years ago
- ☆38Updated 4 years ago
- ☆63Updated 5 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆31Updated 4 years ago
- ☆46Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Updated 4 years ago
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 4 years ago
- "Understanding Dataset Difficulty with V-Usable Information" (ICML 2022, outstanding paper)☆88Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 4 months ago
- This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles e…☆84Updated this week
- ☆109Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆24Updated 2 years ago
- Weighted Training for Cross-Task Learning☆15Updated 2 years ago