Faruk-Ahmed / predictive_group_invarianceLinks
☆34Updated 4 years ago
Alternatives and similar repositories for predictive_group_invariance
Users that are interested in predictive_group_invariance are comparing it to the libraries listed below
Sorting:
- ☆33Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆55Updated 5 years ago
- ☆63Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆43Updated 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 …☆41Updated 5 years ago
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- ☆62Updated 4 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆64Updated 4 years ago
- ☆38Updated 4 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- ☆50Updated 2 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆109Updated 2 years ago