automl / nesLinks
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
☆33Updated last year
Alternatives and similar repositories for nes
Users that are interested in nes are comparing it to the libraries listed below
Sorting:
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆81Updated 5 years ago
- Estimating Example Difficulty using Variance of Gradients☆63Updated 2 years ago
- Introducing diverse tasks for NAS☆50Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 2 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- ☆59Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 5 years ago
- ☆67Updated 6 years ago
- ☆34Updated 3 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- ☆124Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆55Updated 4 years ago
- ☆157Updated 3 years ago
- ☆45Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 4 years ago
- ☆15Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago