gibipara92 / learning-explanations-hard-to-vary
Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard to vary"
☆39Updated 4 years ago
Alternatives and similar repositories for learning-explanations-hard-to-vary:
Users that are interested in learning-explanations-hard-to-vary are comparing it to the libraries listed below
- ☆34Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆34Updated 4 years ago
- ☆54Updated 4 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- ☆35Updated last year
- ☆38Updated 3 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
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆38Updated 3 years ago
- ☆53Updated 7 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 10 months ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆16Updated 2 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- ☆19Updated 4 years ago
- ☆64Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Pytorch implementation of neural processes and variants☆27Updated 7 months ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆62Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago