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AI Paper Summary

UC Berkeley Researchers Use a Dreamer World Model to Train a...

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Robots need to learn from experience to solve complex in real-world environments. Deep reinforcement learning has been the most common approach to robot learning...

Google AI Introduces Minerva: A Natural Language Processing (NLP) Model That...

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Large language models are widely adopted in a range of natural language tasks, such as question-answering, common sense reasoning, and summarization. These models, however,...

Researchers from George Mason and Emory University Develop ‘RES’: a Robust...

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The study on explainability or explainable AI is currently receiving a lot of attention as DNNs become accessible in a variety of application domains....

Researchers at Stanford have developed an Artificial Intelligence (AI) model, EG3D,...

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Artificially intelligent models have recently advanced to the point that users will soon be able to utilize these models to immediately construct and alter...

CMU’s New ‘ReStructured Pre-training’ NLP Approach Pretrains Model Over Valuable Restructured...

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Natural language processing (NLP) paradigms are fast developing, progressing from entirely supervised learning through pre-training and fine-tuning and, most recently, pre-training with immediate prediction....

Researchers from Tohoku University in Japan have Developed a Lightweight Deep...

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The human eye is said to act as a window for assessing general health. Similar to cerebral and coronary microcirculation in terms of anatomy...

Researchers Demonstrate How Today’s Autonomous Robots, Due To Machine Learning Bias,...

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Many detrimental prejudices and biases have been seen to be reproduced and amplified by machine learning models, with sources present at almost all phases...

AWS Researchers Develop ‘TabTransformer’ to Bring the Power of Deep Learning...

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The top-performing AI systems have deep neural networks at their core. For instance, Transformer-based language models like BERT are typically the foundation for natural...

The University of Texas Austin Researchers Propose HM3D-ABO: A Photo-realistic Dataset...

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Since the rise in popularity of AR/VR applications, researchers have been studying the process of reconstructing 3D objects. Researchers can create data-driven algorithms for...

AI Researchers From China Designed An Image Classification Algorithm, FGVC, Based...

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Analyzing images from subordinate categories such as airplane models or bird species is fine-grained image classification's main goal (FGVC) goal. Due to the fine-grained...