Plug and Play Language Models: A Simple Approach to Controlled Text Generation
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Uber Engineering Blog
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
S. Dathathri, A. Madotto, J. Lan, J. Hung, E. Frank, P. Molino, J. Yosinski, R. LiuLarge transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities. However, controlling attributes of the generated…
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations?
https://stanford.io/2RKUBOY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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https://stanford.io/2RKUBOY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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SAIL Blog
BERT, ELMo, & GPT-2: How Contextual are Contextualized Word Representations?
Geometric properties of contextualized word representations and what that says about how contextualized they are.
Code and Dataset for Indonesia Sentiment Analaysis Apps Review https://github.com/andreaschandra/google-play-review
GitHub
GitHub - andreaschandra/google-play-review: Sentiment Analysing to Indonesian Apps on Google Play
Sentiment Analysing to Indonesian Apps on Google Play - GitHub - andreaschandra/google-play-review: Sentiment Analysing to Indonesian Apps on Google Play
Our latest articles
Searching A Novel Method in ML Research
https://bit.ly/3cHBtKk
My Work on Speech Processing
https://bit.ly/2WHvcst
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Searching A Novel Method in ML Research
https://bit.ly/3cHBtKk
My Work on Speech Processing
https://bit.ly/2WHvcst
subscribe @datafolks
Medium
Searching A Novel Method in ML Research
It started when I had an ambition to publish paper on a ranked journal which your paper (may) should propose a new method, like literally…
Our latest work on paraphrase identification has just released in arXiv!
A duplicate question is inevitable in a QnA forum. To identify this problem, we experimented on Paraphrase Identification using the Quora Question Pairs dataset. We achieved a stunning result by using several methods and algorithms such as LSTM, BERT, and different approach from the previous works to improve the model performance. Here is the full paper of how we experimented the Paraphrase Identification: arxiv.org/abs/2006.02648
A duplicate question is inevitable in a QnA forum. To identify this problem, we experimented on Paraphrase Identification using the Quora Question Pairs dataset. We achieved a stunning result by using several methods and algorithms such as LSTM, BERT, and different approach from the previous works to improve the model performance. Here is the full paper of how we experimented the Paraphrase Identification: arxiv.org/abs/2006.02648
One of our researchers, Ruben Stefanus, has just posted an article on how Pytorch Lightning becomes the wrapper and the handler for ML researchers who use PyTorch for their deep learning. Read more on how it works here: https://bit.ly/2A9oDX6
Medium
PyTorch Lightning — it’s a wrapper !
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
Hi folks!
Yesterday! Jakarta Research had just conducted the first thought-provoking activity called "Deep Learning Discussion (DLD)"
In DLD, we will discuss mainly about books related to Deep Learning. We have chosen an interesting book by the title of "Introduction to Information Retrieval" by Christopher D. Manning, Hinrich Schütze, and Prabhakar Raghavan, and starting the discussion from chapter 1 and 2.
In the discussion, Andhika Setia Pratama presented and also became the lighter of the discussion.
Stay tune in our discord server!
For latest update, follow Jakarta Artificial Intelligence Research on Linkedin
Yesterday! Jakarta Research had just conducted the first thought-provoking activity called "Deep Learning Discussion (DLD)"
In DLD, we will discuss mainly about books related to Deep Learning. We have chosen an interesting book by the title of "Introduction to Information Retrieval" by Christopher D. Manning, Hinrich Schütze, and Prabhakar Raghavan, and starting the discussion from chapter 1 and 2.
In the discussion, Andhika Setia Pratama presented and also became the lighter of the discussion.
Stay tune in our discord server!
For latest update, follow Jakarta Artificial Intelligence Research on Linkedin
Hi everyone, I apologize this channel is not active as before. During this time, my team and I are focusing on research projects and building software to help researchers improve the workflow. If you are interested with what we are doing, check this link https://medium.com/data-folks-indonesia/jakarta-artificial-intelligence-research-projects-66735f41111d
Medium
Jakarta Artificial Intelligence Research Projects
Jakarta Research is a research community based in Jakarta that focuses on Artificial Intelligence. Our aim is to improve people’s life…
Jakarta Artificial Intelligence Research is Now Open!
https://medium.com/data-folks-indonesia/jakarta-artificial-intelligence-research-is-now-open-f404763867b1
https://medium.com/data-folks-indonesia/jakarta-artificial-intelligence-research-is-now-open-f404763867b1
Medium
Jakarta Artificial Intelligence Research is Now Open!
Jakarta Artificial Intelligence Research atau yang biasa disebut Jakarta Research adalah sebuah komunitas riset dibidang kecerdasan buatan…
The Underlying Idea of t-SNE
by Ruben Stefanus
https://s.id/u88z8
Make Language Processing Natural Again
by Yosef Ardhito
https://s.id/u88Fo
by Ruben Stefanus
https://s.id/u88z8
Make Language Processing Natural Again
by Yosef Ardhito
https://s.id/u88Fo
Medium
The Underlying Idea of t-SNE
Dimensionality reduction aims to map the data from original dimension (high dimension) to lower dimension space while minimizing…