AvivNavon / pareto-hypernetworks
Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]
☆99Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pareto-hypernetworks
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆55Updated 2 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆36Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆12Updated 3 months ago
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆9Updated 2 months ago
- ☆16Updated 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
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆21Updated 3 years ago
- ☆22Updated 3 years ago
- ☆119Updated 5 months ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆23Updated 7 months ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 3 years ago
- A Model Agnostic Multi-Objective Framework for Deep Learning models☆31Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆74Updated last year
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆69Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆33Updated 7 months ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- ☆31Updated last year
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 4 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆57Updated 2 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆20Updated last year
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆111Updated last year
- ☆45Updated 4 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆43Updated 2 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆126Updated 4 years ago