dirichletcal / experiments_neuripsLinks
☆21Updated 2 years ago
Alternatives and similar repositories for experiments_neurips
Users that are interested in experiments_neurips are comparing it to the libraries listed below
Sorting:
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- ☆68Updated 6 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- ☆37Updated 4 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆60Updated 2 years ago
- We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…☆57Updated 3 years ago
- ☆46Updated 5 years ago
- ☆19Updated 7 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆65Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆42Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆73Updated last year
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆39Updated 5 years ago
- ☆111Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- ☆56Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago