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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on deep reinforcement learning, deep agent based models, or related topics.
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## Keyword: detection
### Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
- **Authors:** Authors: Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Ya…
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Very exciting to learn about this effort! A julia native ML package improving on Sklearn is one of the key missing pieces of the ecosystem.
Here's a list of ideas I'd like to bring to your attentio…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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Post questions here for this week's fundamental readings:
Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 10, 12, 6, 13 —“Principles of Di…
lkcao updated
6 months ago
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Post questions here for this week's fundamental readings: Grimmer, Justin, Molly Roberts, Brandon Stewart. 2022. Text as Data. Princeton University Press: Chapters 10, 12, 6, 13 —“Principles of Discov…
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## Keyword: sgd
There is no result
## Keyword: optimization
### Multi-Target Decision Making under Conditions of Severe Uncertainty
- **Authors:** Authors: Christoph Jansen, Georg Schollmeyer, Thoma…
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## Keyword: out of distribution detection
There is no result
## Keyword: out-of-distribution detection
There is no result
## Keyword: expected calibration error
There is no result
## Keyword: overc…