dtak / lit
Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"
☆8Updated 5 years ago
Alternatives and similar repositories for lit:
Users that are interested in lit are comparing it to the libraries listed below
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- Understanding Rare Spurious Correlations in Neural Network☆12Updated 2 years ago
- Post-processing for fair classification☆13Updated this week
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- ☆11Updated last year
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- A simple Jax implementation of influence functions.☆16Updated last year
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- This is the project for IRM methods☆12Updated 3 years ago
- ☆20Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- ☆38Updated 3 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆35Updated 2 years ago
- Invariant-feature Subspace Recovery (ISR)☆23Updated 2 years ago
- ☆14Updated 5 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆31Updated 8 months ago
- ☆27Updated 4 years ago
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆12Updated 11 months ago
- ☆12Updated last year
- Do input gradients highlight discriminative features? [NeurIPS 2021] (https://arxiv.org/abs/2102.12781)☆13Updated 2 years ago
- Explanation Optimization☆13Updated 4 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆34Updated 4 years ago
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆30Updated 3 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆13Updated 2 years ago