geifmany / uncertainty_ICLR
Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019
☆13Updated 5 years ago
Alternatives and similar repositories for uncertainty_ICLR:
Users that are interested in uncertainty_ICLR are comparing it to the libraries listed below
- ☆21Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆30Updated 3 years ago
- ☆34Updated 4 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Updated 5 years ago
- MAML implementation (tensorflow)☆14Updated 5 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Updated 2 years ago
- Self-Explaining Neural Networks☆13Updated last year
- ☆19Updated 6 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆14Updated last year
- ☆66Updated 5 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 11 months ago
- ☆64Updated 4 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 3 years ago
- Belief matching framework official implementation☆39Updated 2 years ago
- ☆19Updated 5 years ago
- ☆20Updated 6 years ago
- ☆20Updated 4 years ago
- A way to achieve uniform confidence far away from the training data.☆37Updated 3 years ago
- ☆40Updated 5 years ago
- ☆40Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago