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☆80Updated 6 years ago
- Estimating Example Difficulty using Variance of Gradients☆64Updated 2 years ago
- ☆33Updated 4 years ago
- Introducing diverse tasks for NAS☆50Updated 3 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"☆27Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆55Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 2 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 4 years ago
- ☆125Updated last year
- ☆68Updated 6 years ago
- Training vision models with full-batch gradient descent and regularization☆39Updated 2 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 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 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Code for "Supermasks in Superposition"☆124Updated 2 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆41Updated 4 years ago
- Local search for NAS☆18Updated 5 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- ☆59Updated 2 years ago