xingchenwan / MLRG_DeepCurvature
☆15Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MLRG_DeepCurvature
- ☆35Updated last year
- Codebase for Learning Invariances in Neural Networks☆94Updated 2 years ago
- ☆52Updated 3 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆97Updated 2 years ago
- ☆36Updated 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 …☆39Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated 7 months 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
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆36Updated last year
- Convolutional Neural Tangent Kernel☆107Updated 5 years ago
- CIFAR-5m dataset☆39Updated 3 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 5 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆36Updated 3 years ago
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- Geometric Certifications of Neural Nets☆41Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 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…☆40Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- ☆67Updated 5 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆32Updated last year
- Gradient Starvation: A Learning Proclivity in Neural Networks☆60Updated 3 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆103Updated 11 months ago
- Code base for SRSGD.☆28Updated 4 years ago