Pengxin-Guo / Awesome-Multi-Task-LearningLinks
Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
☆51Updated last year
Alternatives and similar repositories for Awesome-Multi-Task-Learning
Users that are interested in Awesome-Multi-Task-Learning are comparing it to the libraries listed below
Sorting:
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆232Updated 3 months ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆99Updated last year
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆84Updated 2 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆138Updated 2 years ago
- An up-to-date list of works on Multi-Task Learning☆369Updated 3 months ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆129Updated 2 years ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆52Updated 2 years ago
- A curated list of awesome Mix☆72Updated 2 years ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆123Updated last year
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆156Updated 11 months ago
- ☆36Updated last year
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆44Updated 4 months ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- some bravo or inspiring research works on the topic of curriculum learning☆241Updated 3 years ago
- This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).☆80Updated 6 months ago
- [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond☆138Updated 2 years ago
- [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression☆52Updated 2 years ago
- This repo provides the codebase for "A General Framework for Weak Supervision"☆40Updated last year
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆82Updated 4 years ago
- A pure PyTorch implementation of kmeans and GMM with distributed clustering.☆48Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆133Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference …☆162Updated 3 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆43Updated 2 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆45Updated 2 years ago