xiaofangxd / Multi-objective-optimization-and-Multi-task-Learning
☆59Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for Multi-objective-optimization-and-Multi-task-Learning
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆37Updated 3 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆128Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆56Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆38Updated 2 years ago
- PyTorch implementation of the GradNorm☆72Updated 2 months ago
- Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles☆26Updated 4 years ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆39Updated 7 months ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆23Updated 8 months ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 2 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆30Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆62Updated 2 weeks ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆112Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆51Updated 2 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆207Updated 6 months ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆13Updated 3 months ago
- Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]☆14Updated last year
- a curated list of bayesian optimization tutorials, papers, softwares☆26Updated 3 years ago
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆39Updated 11 months ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆43Updated 2 years ago
- [AAAI-23] Improving Pareto Front Learning via Multi-Sample Hypernetworks☆9Updated 2 months ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆99Updated 2 years ago
- ☆25Updated last year
- 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
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆35Updated 4 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆71Updated 6 months ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆61Updated last year
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆135Updated 3 years ago