awesome-multi-task-learning
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
https://github.com/thuml/awesome-multi-task-learning
Last synced: 8 days ago
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Survey
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
- Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing
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Task Relationship Learning: Grouping, Tree (Hierarchy) & Cascading
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Consistency
- Planning-oriented autonomous driving
- Editing Models with Task Arithmetic
- Efficient and Effective Multi-Task Grouping via Meta Learning on Task Combinations
- A Tree-Structured Multi-Task Model Recommender - Conf, 2022.
- Efficiently Identifying Task Groupings for Multi-Task Learning
- Which Tasks Should Be Learned Together in Multi-task Learning?
- Learning to Branch for Multi-Task Learning
- Task2Vec: Task Embedding for Meta-Learning
- Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning
- AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning
- Taskonomy: Disentangling Task Transfer Learning
- SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
- When is multitask learning effective? Semantic sequence prediction under varying data conditions
- Identifying beneficial task relations for multi-task learning in deep neural networks
- Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification
- Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
- Deep multi-task learning with low level tasks supervised at lower layers
- Learning Task Grouping and Overlap in Multi-task Learning
- Learning with Whom to Share in Multi-task Feature Learning
- A Convex Formulation for Learning Task Relationships in Multi-Task Learning
- Task2Vec: Task Embedding for Meta-Learning
- Task2Vec: Task Embedding for Meta-Learning
- SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
- Deep multi-task learning with low level tasks supervised at lower layers
- A Tree-Structured Multi-Task Model Recommender - Conf, 2022.
- A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks
- When is multitask learning effective? Semantic sequence prediction under varying data conditions
- Identifying beneficial task relations for multi-task learning in deep neural networks
- Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
- Learning Task Grouping and Overlap in Multi-task Learning
- A Convex Formulation for Learning Task Relationships in Multi-Task Learning
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Theory
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Consistency
- Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
- Deciphering and Optimizing Multi-Task Learning: A Random Matrix Approach
- On the Theory of Transfer Learning: The Importance of Task Diversity
- Understanding and Improving Information Transfer in Multi-Task Learning
- Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
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Categories
Sub Categories
Hard Parameter Sharing
85
Graph
63
Consistency
58
Loss & Gradient Strategy
47
Modularity, MoE, Routing & NAS
26
Modulation & Adapters
21
Computer Vision
14
Recommendation
14
Others
8
Soft Parameter Sharing
8
Distillation
8
Task Interference
6
Pareto
4
NLP
4
Adversarial Training
4
Decoder-focused Model
4
Task Sampling
3
RL & Robotics
2
Keywords
multi-task-learning
7
pytorch
5
deep-learning
4
multitask-learning
4
meta-learning
2
python
2
multiobjective-optimization
2
multi-objective-optimization
2
nlp
2
segmentation
1
auxiliary-learning
1
attention-model
1
natural-language-processing
1
benchmark
1
bigbench
1
crossfit
1
curated-datasets
1
dataset-collection
1
discriminative
1
scene-understanding
1
pascal
1
nyud
1
eccv2020
1
computer-vision
1
ranking
1
natural-language-understanding
1
named-entity-recognition
1
microsoft
1
machine-reading-comprehension
1
torch
1
optimization
1
jacobian-descent
1
multi-task-clustering
1
matlab
1
ple
1
multi-domain-learning
1
mtl
1
mmoe
1
transfer-learning
1
recommender-system
1
recommendation
1
multitask-recommendation
1
ctr-prediction
1
advertising
1
text-classification
1
scaling
1
reward-modeling
1
preprocessings
1
natural-language-inference
1
multi-task-learning-scaling
1