xiaofangxd / Multi-objective-optimization-and-Multi-task-LearningLinks
☆72Updated last year
Alternatives and similar repositories for Multi-objective-optimization-and-Multi-task-Learning
Users that are interested in Multi-objective-optimization-and-Multi-task-Learning are comparing it to the libraries listed below
Sorting:
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆142Updated 6 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Bi-level Optimization for Advanced Deep Learning☆47Updated 4 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Updated last year
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆94Updated 5 months ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆123Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆141Updated 2 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Updated 4 years ago
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆105Updated 3 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆121Updated 9 months ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆109Updated last year
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆235Updated 6 months ago
- ☆41Updated 6 years ago
- This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.☆383Updated last year
- some bravo or inspiring research works on the topic of curriculum learning☆246Updated 3 years ago
- PyTorch implementation of 'Weight Uncertainty in Neural Networks'☆19Updated 5 years ago
- ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference☆107Updated 3 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆391Updated 4 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆294Updated 2 years ago
- Neural Tangent Kernel Papers☆120Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆77Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆116Updated 5 years ago
- Mutual Information Neural Estimation in Pytorch☆349Updated last year
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 5 years ago
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆51Updated 2 years ago