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Hello, thanks for sharing your great work! Will the code for evaluating open source? Or will there be instructions to evaluate the generation results?
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**物理シミュレーションに基づく運動学習を、短期と長期の学習に分離することで解く**
論文本体・著者
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* http://www.cs.ubc.ca/~van/papers/2017-TOG-deepLoco/
* Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne
* …
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https://papers.nips.cc/paper/4474-learning-to-learn-with-compound-hd-models.pdf
We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learn…
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## DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation
We established a public benchmark dataset with cracks in multiple scales and scenes to evaluate the crack dete…
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http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7979983
蹭一把热度, AIDevOps
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**Submitting author:** @DenaJGibbon (Dena Clink)
**Repository:** https://github.com/DenaJGibbon/gibbonNetR
**Branch with paper.md** (empty if default branch):
**Version:** 1.0.0
**Editor:** @faroit
*…
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Hi,
I found the list missed some recent papers:
>[Multimodal Integration] [2022 Nature Biotechnology] Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
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Subscribe to this issue and stay notified about new [weekly trending repos in Jupyter Notebook](https://github.com/trending/jupyter-notebook?since=weekly).
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### Pool-Based AL Strategies
- [ ] XPAL (Kottke 2021)
- [ ] Optimal Baseline (Kottke 2021)
- [x] #261
- [x] #262
- [x] Quire (Huang 2010)
- [ ] Learning Active Learning from Data (Konyushkova …
dakot updated
2 months ago