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10 Leading Language Models For NLP In 2021
The introduction of transfer learning and pretrained language models in natural language processing (NLP) pushed forward the limits of language understanding and…
ICLR 2021: Key Research Papers
To help you stay aware of the latest AI research breakthroughs, we’ve summarized some of the ICLR 2021 research papers that received…
What Is Your Model Hiding? A Tutorial on Evaluating ML Models
Imagine you trained a machine learning model. Maybe, a couple of candidates to choose from. You ran them on the test set…
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BERT Inner Workings
I created this notebook to better understand the inner workings of Bert. I followed a lot of tutorials to try to understand…
GPT2 For Text Classification Using Hugging Face Transformers
This notebook is used to fine-tune GPT2 model for text classification using Hugging Face transformers library on a custom dataset. Hugging Face is very nice…
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AAAI 2021: Top Research Papers With Business Applications
With a record high of 9034 research papers submitted to AAAI 2021 and an acceptance rate of 21%, a total of 1692…
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A Comprehensive Introduction to Bayesian Deep Learning
Even knowing basic probability theory, you may find it hard to understand and connect that to modern Bayesian deep learning research. This…
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Extractive Text Summarization Using Contextual Embeddings
Text Summarization is a process of generating a compact and meaningful synopsis from a huge volume of text. Sources for such text…
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Graph Neural Networks for Multi-Relational Data
This article describes how to extend the simplest formulation of Graph Neural Networks (GNNs) to encode the structure of multi-relational data, such…
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Graph Attention Networks Under the Hood
Graph Neural Networks (GNNs) have emerged as the standard toolbox to learn from graph data. GNNs are able to drive improvements for…