heshandevaka / Trade-Off-MOL
Experiments on trade-off among optimization, generalization and conflict aversion in multi-objective learning (MOL), and introducing MoDo.
☆13Updated last year
Alternatives and similar repositories for Trade-Off-MOL:
Users that are interested in Trade-Off-MOL are comparing it to the libraries listed below
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated last year
- ☆25Updated 9 months ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆38Updated last year
- ☆36Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated last year
- Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning☆30Updated 2 years ago
- A python package providing a benchmark with various specified distribution shift patterns.☆56Updated last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆31Updated 2 years ago
- Implementation of FedBary☆10Updated 7 months ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆21Updated last year
- ☆22Updated 5 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆41Updated last year
- FairBatch: Batch Selection for Model Fairness (ICLR 2021)☆19Updated last year
- Official codes for Scalable Infomin Learning, NeurIPS 2022☆12Updated last year
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Code for "Just Train Twice: Improving Group Robustness without Training Group Information"☆70Updated 9 months ago
- ☆36Updated 3 years ago
- ☆11Updated last year
- Recycling diverse models☆44Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Tilted Empirical Risk Minimization (ICLR '21)☆59Updated last year
- Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift☆34Updated last year
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆12Updated 3 years ago
- ☆14Updated 3 years ago
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆16Updated 2 years ago
- GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning☆34Updated 2 years ago
- Implementation of Minimax Pareto Fairness framework☆21Updated 4 years ago
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year