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:
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- ☆34Updated 4 years ago
- ☆55Updated 5 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- ☆63Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 4 years ago
- GAN(TK)²: GAN Neural Tangent Kernel ToolKit☆13Updated 3 years ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- implements optimal transport algorithms in pytorch☆100Updated 3 years ago
- ☆38Updated 4 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆30Updated 5 years ago
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆62Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 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
- "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021☆18Updated 4 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- [ICLR'22] Self-supervised learning optimally robust representations for domain shift.☆24Updated 3 years ago