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**Paper**
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering
**Introduction**
This paper proposes a method for Aspect Category Detection (ACD) usin…
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@karalets
Sorry there was some delay. I'm also working on a few other projects.
I'm been looking into ways of semi-supervised learning. The paragraph vector approach in this paper (https://pubs…
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- [ ] [system-2-research/README.md at main · open-thought/system-2-research](https://github.com/open-thought/system-2-research/blob/main/README.md?plain=1)
# OpenThought - System 2 Research Links
He…
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Multi-labels problems with a lot of labels are a good use case of metric learning, so we could add support for it in the algorithms. In supervised ones it would mean modifying the loss function a bit …
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Better self-admitted technical debt identification with adaptive CNN.
- Incorporate a CNN model in the framework of a human-in-the-loop self-admitted technical debt identification system.
- Explor…
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# Goal
As a developer, I want to develop and compare Reinforcement Learning (RL) algorithms, so that I can teach AI agents cryptocurrency trading.
# Consider
* Analyzing work by others ([here](http…
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**Lecture Courses**
http://www.robots.ox.ac.uk/~az/lectures/
https://www.gaussianwaves.com/2013/11/simulation-and-analysis-of-white-noise-in-matlab/
https://github.com/oxford-cs-deepnlp-2017
http…
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Currently, I either repeat a package or insert silence.
Several better algorithms exists, list of papers:
* https://arxiv.org/pdf/2007.07132.pdf Machine Learning
* https://openhsu.ub.hsu-h…
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Hi, I am reimplementing ml algorithms based on yours
But I am a little confused about the part of the calculation of Moore-Penrose pseudoinverse in linear regression.
https://github.com/eriklin…
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E. Triantafillou et. al. [1] had experiments for few-shot learning with class imbalance to see if the class imbalance actually impacts to the performance of the few-shot learning methods.
**Resul…