Pengxin-Guo / Awesome-Multi-Task-LearningLinks
Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
☆51Updated 2 years ago
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]☆233Updated 5 months ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆47Updated 3 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆141Updated 2 years ago
- This repository periodicly updates the MTL paper and resources☆74Updated 4 months ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆140Updated 2 years ago
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆162Updated last year
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Updated last year
- some bravo or inspiring research works on the topic of curriculum learning☆244Updated 3 years ago
- A curated list of awesome Mix☆72Updated 2 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆24Updated last year
- This repo provides the codebase for "A General Framework for Weak Supervision"☆40Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆65Updated 3 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- An up-to-date list of works on Multi-Task Learning☆374Updated 2 months ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆53Updated 2 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆38Updated last year
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆115Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- ☆37Updated last year
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆134Updated 2 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆54Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆199Updated 2 years ago
- List of papers that combine self-supervision and continual learning☆74Updated 8 months ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆83Updated 4 years ago
- official source code for the Paper: **Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment** based on Pytorch.☆46Updated 6 months ago
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆25Updated last year