Ever since convolutional neural networks began outperforming humans in specific image recognition tasks, research in the field of computer vision has proceeded at breakneck pace. Yann LeCun improved upon the original design in by using backpropagation to train models to recognize handwritten digits. In , we saw novel architecture designs that improve upon performance benchmarks and also expand the range of media that machine learning models can analyze. We also saw a number of breakthroughs with media generation which enable photorealistic style transfer, high-resolution image generation, and video-to-video synthesis.
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NLP research advances in are still dominated by large pre-trained language models, and specifically transformers. There were many interesting updates introduced this year that have made transformer architecture more efficient and applicable to long documents. Another hot topic relates to the evaluation of NLP models in different applications. We still lack evaluation approaches that clearly show where a model fails and how to fix it. Also, with the growing capabilities of language models such as GPT-3, conversational AI is enjoying a new wave of interest. Chatbots are improving, with several impressive bots like Meena and Blender introduced this year by top technology companies.
Research Paper Examples
This guide is intended to help you organize and write a quality academic research paper. Also included are recommendations regarding how to manage specific course assignments. Note that, if you have specific questions about how to write a research paper, you should always seek advice from your professor before you begin. Specific requirements stated by your professor will always supersede instructions provided in these general guidelines. Thanks to Dr.