mertyg / beyond-confidence-atypicality
Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
☆12Updated 11 months ago
Alternatives and similar repositories for beyond-confidence-atypicality:
Users that are interested in beyond-confidence-atypicality are comparing it to the libraries listed below
- ☆12Updated last year
- ☆30Updated 3 years ago
- ☆23Updated 2 years ago
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆65Updated 2 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- ☆45Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 4 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- ☆18Updated 3 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Quantile risk minimization☆24Updated 8 months ago
- This is the project for IRM methods☆12Updated 3 years ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆34Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆36Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Updated 11 months ago
- AAAI, 2022☆8Updated 4 months ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆44Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…☆11Updated 2 years ago
- Deep Learning & Information Bottleneck☆59Updated last year