kohpangwei / group-influence-release
☆50Updated 2 years ago
Alternatives and similar repositories for group-influence-release:
Users that are interested in group-influence-release are comparing it to the libraries listed below
- ☆62Updated 3 years ago
- ☆54Updated 4 years ago
- ☆64Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 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.☆42Updated last year
- Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)☆28Updated 4 years ago
- Regularized Learning under label shifts☆18Updated 5 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆71Updated 11 months ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- ☆38Updated 3 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆86Updated 5 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago
- ☆65Updated 9 months ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- ☆14Updated 5 years ago
- Influence Analysis and Estimation - Survey, Papers, and Taxonomy☆77Updated last year
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Updated 3 years ago
- ☆89Updated last year
- A simple PyTorch implementation of influence functions.☆85Updated 10 months ago
- A way to achieve uniform confidence far away from the training data.☆38Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- ☆34Updated 4 years ago
- Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"☆25Updated last year
- Computing various measures and generalization bounds on convolutional and fully connected networks☆35Updated 6 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆62Updated 5 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆39Updated last year
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago