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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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**Proposed Rule Name:** PoorIdentifierName
**Proposed Category:** Best Practices
**Description:**
As a human, coming up with meaningful identifier names is sometimes hard. I have to spend up…
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## Keyword: sgd
There is no result
## Keyword: optimization
### A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems
- **Authors:** Authors: Hai Van Nguyen, Tan Bui-Thanh
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Post a link for a "possibility" reading of your own on the topic of Network & Table Learning [for week 6], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we…
lkcao updated
2 years ago
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## Keyword: sgd
### A Convergence Theory for Federated Average: Beyond Smoothness
- **Authors:** Authors: Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang
- **Subjects:** Machine Learning (cs.LG);…
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Comment below with a well-developed question or comment about the reading for this week's workshop!
If you would really like to ask your question in person, please place two exclamation points befo…
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## Keyword: sgd
### Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability
- **Authors:** Authors: Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejin…
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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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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.