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- ---
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- license: cc-by-4.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: cc-by-4.0
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+ tags:
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+ - self-supervised-learning
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+ - vit
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+ - latent-dynamics
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+ - motion
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+ - recognition
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+ - video
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+ - latent-action
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+ ---
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+
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+ # Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
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+
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+ [Paper](https://arxiv.org/abs/2510.05558) | [Code](https://github.com/agentic-learning-ai-lab/midway-network)| [Website](https://agenticlearning.ai/midway-network)
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+
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+ These are trained models instantiating the Midway Network (ICLR 2026) architecture for self-supervised learning of visual representations for recognition and motion from videos.
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+
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+ > [**Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics**](https://arxiv.org/abs/2510.05558)<br>
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+ > [Christopher Hoang](https://www.chrishoang.com), [Mengye Ren](https://mengyeren.com)<br>
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+ > International Conference on Learning Representations 2026<br>
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+ > *arXiv ([arXiv 2510.05558](https://arxiv.org/abs/2510.05558))*
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+
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+ The models are trained on [BDD100K](https://bair.berkeley.edu/blog/2018/05/30/bdd) or [WT-Venice](https://huggingface.co/datasets/shawshankvkt/Walking_Tours).
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+
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+ ## Citation
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+ If you find this repository useful in your research, please consider giving a like and a citation:
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+ ```
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+ @inproceedings{hoang:2026:midway-network,
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+ title={Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics},
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+ author={Chris Hoang and Mengye Ren},
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+ booktitle={International Conference on Learning Representations},
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+ year={2026}
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+ }
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+ ```