Representation learning

Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. It underpins modern advances in natural language processing, computer vision, and speech recognition.

• GitHub: https://github.com/topics/representation-learning
• Wikipedia: https://en.wikipedia.org/wiki/Feature_learning
• Last updated: 2026-06-11 00:26:19 UTC
• JSON Representation

https://github.com/lukaszbinden/learning-object-representations-by-mixing-scenes

Learning Object Representations by Mixing Scenes, MSc thesis, University of Bern, Switzerland

computer-vision disentangled-representations machine-learning representation-learning tensorflow unsupervised-learning

Last synced: 30 Apr 2026

https://github.com/mpolinowski/tf-mnist-digits

Tensorflow unsupervised learning to denoise images from the mnist digits dataset

denoise-images mnist-image-dataset representation-learning tensorflow2 unsupervised-learning

Last synced: 08 May 2026

https://github.com/huangjunxin/comment-basedfeaturelearning

Profiling Student’s Essay Writing Proficiency Using Comment-based Representation Learning

ai-in-education nlp representation-learning

Last synced: 06 Apr 2025

Representation learning Awesome Lists

awesome-multimodal-ml 480 awesome-network-embedding 202 knowledge-graphs 42 awesome-graph-self-supervised-learning 76 awesome-contrastive-self-supervised-learning 87 Awesome-Deep-Graph-Clustering 242 awesome-protein-representation-learning 241 Awesome-MIM 485 Awesome-VQVAE 62 Awesome-Foundation-Models-for-Weather-and-Climate 184 awesome-visual-representation-learning-with-transformers 57 awesome-deep-time-series-representations 277 awesome-foundation-models-on-graphs 242 awesome-sound_event_detection 157 awesome-video-self-supervised-learning 366 Awesome-Deep-Multi-View-Clustering 269 awesome-weight-space-learning 194 awesome-self-supervised-speech-representation-learning 40

Representation learning Categories

Citing 876 Year 2023 539 Research Papers (Latest Update: NeurIPS 2024) 494 Applications and Datasets 445 Related Surveys (Latest Update: July, 2024) 434 Year 2022 418 Year before-2019 375 Uncategorized 363 Papers 286 Year 2021 273 Fundamental MIM Methods 243 📚 Resources 240 Core Areas 171 Areas 159 Year 2020 139 Related Surveys (Latest Update: October, 2023) 127 MIM for CV Downstream Tasks 127 Research Papers (Latest Update: KDD 2024) 123 Survey Papers 108 Task-Specific Models for Weather and Climate 103