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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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As part of our ongoing efforts to improve the performance and accuracy of our predictive models, we need to evaluate a variety of machine learning and deep learning algorithms. Here's a list of models…
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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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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on strategic sampling and active learning. Here, you may also choose examples that built …
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As we prepare for the migration away and sunsetting of DataSpace, I've been populating the journal articles when they become available. This has mostly focused around new records to ensure that when w…
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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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# Introduction to machine learning
What is Machine Learning?
Machine learning (ML) is a modern software development technique and a type of artificial intelligence (AI) that enables computers …
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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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Comment below with one speaker (and/or a paper by the speaker) whom you wish to see at our workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comment…
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## Keyword: detection
### Video Anomaly Detection by Estimating Likelihood of Representations
- **Authors:** Yuqi Ouyang, Victor Sanchez
- **Subjects:** Computer Vision and Pattern Recognition (cs.C…