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Linguistics Wisdom of NLP Models
This article is authored by Keyur Faldu and Dr. Amit Sheth. This article elaborates on a niche aspect of the broader cover story on “Rise of…
Discovering the Encoded Linguistic Knowledge in NLP Models
This article is authored by Keyur Faldu and Dr. Amit Sheth. This article elaborates on a niche aspect of the broader cover story on “Rise of…
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Leading AI & Machine Learning Research Trends 2021
To help you stay well prepared for 2021, we have summarized the latest trends across different research areas, including natural language processing,…
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Deep-Learning Based Object Detection in Crowded Scenes
Object detection in crowded scenes is challenging. When objects gather, they tend to overlap largely with each other, leading to occlusions. Occlusion…
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Transfer Learning for Time Series Forecasting and Classification
A brief history: ImageNet was first published in 2009 and over the next four years would go on to form the bedrock of…
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NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer – Computer Vision
As mentioned in part 1– the most important thing:) – I went through all the titles of NeurIPS 2020 papers (more than…
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NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer
Advances in Deep Learning research are of great utility for a Deep Learning engineer working on real-world problems as most of the…
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Machine Learning on Knowledge Graphs at NeurIPS 2020
NeurIPS is a major venue covering a wide range of ML & AI topics. Of course, there is something interesting for Graph…
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The Curious Case of Developmental BERTology
This essay is written for machine learning researchers and neuroscientists (some jargons in both fields will be used). Though it is not…
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NeurIPS 2020: Key Research Papers in Natural Language Processing (NLP) & Conversational AI
NeurIPS is the largest machine learning conference held every December. It brings together researchers in computational neuroscience, reinforcement learning, deep learning, and…