litian96 / TERMLinks
Tilted Empirical Risk Minimization (ICLR '21)
☆59Updated last year
Alternatives and similar repositories for TERM
Users that are interested in TERM are comparing it to the libraries listed below
Sorting:
- Federated posterior averaging implemented in JAX☆51Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- ☆12Updated 3 years ago
- ☆58Updated 2 years ago
- The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size☆17Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆60Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- Data-efficient Training of Machine Learning Models☆63Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆36Updated 2 years ago
- An Investigation of Why Overparameterization Exacerbates Spurious Correlations☆31Updated 4 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- ☆23Updated 2 years ago
- PyTorch implementation of FIM and empirical FIM☆61Updated 6 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Code for the signSGD paper☆86Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆88Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30Updated last year
- ☆50Updated 2 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- ☆38Updated 3 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆40Updated 10 months ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆72Updated last year
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 6 years ago
- The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)☆40Updated last year