apple / learning-subspaces
☆134Updated 3 years ago
Alternatives and similar repositories for learning-subspaces:
Users that are interested in learning-subspaces are comparing it to the libraries listed below
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆98Updated 3 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆267Updated 2 years ago
- Code for "Supermasks in Superposition"☆121Updated last year
- Last-layer Laplace approximation code examples☆82Updated 3 years ago
- ☆44Updated 4 years ago
- ☆55Updated 4 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆74Updated 4 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated 11 months ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- CIFAR-5m dataset☆38Updated 4 years ago
- ☆34Updated 3 years ago
- ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."☆117Updated last year
- Hessian spectral density estimation in TF and Jax☆120Updated 4 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆123Updated last year
- ☆156Updated 2 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆46Updated 11 months ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- ☆120Updated 7 months ago
- ☆188Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆102Updated 4 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆109Updated 2 years ago
- Train ImageNet *fast* in 500 lines of code with FFCV☆136Updated 8 months ago
- ☆19Updated 2 years ago
- Benchmark for Lifelong learning research☆118Updated 3 years ago