Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-survey-papers
A collection of Survey Papers in Machine Learning
https://github.com/excitingtimes/awesome-survey-papers
Last synced: about 16 hours ago
JSON representation
-
OOD, generalization and compositionality
-
Continual learning
-
Training dynamics and Optimization
-
Efficient Transformers
-
Graph neural networks
-
Generative modeling
-
Self-supervised learning
-
Natural Language Processing
-
Music Generation
- Music Composition with Deep Learning: A Review - Olival et al*, **August 2021**)
- A comprehensive survey on Deep Music Generation
- Deep Learning techniques for Music Generation
-
Reinforcement Learning
- Multi-agent Deep Reinforcement Learning : a survey
- Exploration strategies in Deep Reinforcement Learning
- Curriculum for Reinforcement Learning
- Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
- Multi-agent Deep Reinforcement Learning : a survey
-
Neural AI
- Neuroscience-Inspired Artificial Intelligence (Neuron Review) - 3.pdf) (*Demis Hassabis et al*, **July 2017**)
- An introduction to theories of learning
- Cognitive computational neuroscience : a review
- Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
- Cognitive computational neuroscience : a review
-
Computer Vision
-
3D, Point Clouds and Meshes
-
Biology
-
Physics
Categories
Reinforcement Learning
40
Neural AI
40
Efficient Transformers
6
Computer Vision
5
Self-supervised learning
5
Natural Language Processing
4
Continual learning
4
Training dynamics and Optimization
3
Graph neural networks
3
Music Generation
3
Physics
2
OOD, generalization and compositionality
2
Generative modeling
2
3D, Point Clouds and Meshes
1
Biology
1
Sub Categories