kimjeyoung / SNGP-BERT-Pytorch
This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.
☆47Updated 3 years ago
Related projects: ⓘ
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 3 years ago
- ☆36Updated 3 years ago
- This repository contains the implementation of SimplEx, a method to explain the latent representations of black-box models with the help …☆22Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated last year
- Improving Transformation Invariance in Contrastive Representation Learning☆13Updated 3 years ago
- A neural network architecture for prediction on sets☆23Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆36Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆34Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆34Updated 3 years ago
- Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"☆39Updated last year
- ☆29Updated 2 years ago
- ☆65Updated 3 years ago
- Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.☆47Updated 2 years ago
- Code for experiments to learn uncertainty☆28Updated last year
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated last year
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆66Updated 4 months ago
- Bayesian Attention Modules☆35Updated 3 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆52Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆24Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆35Updated last year
- ☆34Updated last month
- ☆40Updated last year
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Updated last year
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆21Updated last year
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Updated 11 months ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆39Updated 10 months ago
- ☆58Updated 2 years ago