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TOPBOTS writers are experts in enterprise AI applications, ranging from technology to marketing to operations. We offer original content based on industry news, academic research, domain expert opinions, internal projects, case studies, and trending data to help your business or brand succeed with applied data science and machine learning.
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, conversational AI, computer vision, and reinforcement learning. We also suggest key research papers in different areas that we think are representative of the latest advances. Subscribe to our AI Research mailing list at…
TOPBOTS Guide to NeurIPS 2020
This year’s Annual Conference on Neural Information Processing (NeurIPS 2020) is held 100% virtually from December 6th to 12th, 2020. Historically NeurIPS sells out quickly and can be a challenge to register for. But, this year’s virtual format welcomes everyone with an affordable ticket price of $100. 2020 is our third year of TOPBOTS covering…
2020’s Top AI & Machine Learning Research Papers
Despite the challenges of 2020, the AI research community produced a number of meaningful technical breakthroughs. GPT-3 by OpenAI may be the most famous, but there are definitely many other research papers worth your attention. For example, teams from Google introduced a revolutionary chatbot, Meena, and EfficientDet object detectors in image recognition. Researchers from Yale…
GPT-3 & Beyond: 10 NLP Research Papers You Should Read
NLP research advances in 2020 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…
Novel Computer Vision Research Papers From 2020
Will transformers revolutionize computer vision like they did with natural language processing? That’s one of the major research questions investigated by computer vision scientists in 2020. The first results indicate that transformers achieve very promising results on image recognition tasks. Beyond transformers in vision applications, we also noticed a continuous interest in learning 3D objects…
Evaluation Metrics For Dialog Systems
Evaluation is a crucial part of the dialog system development process. Human judgment is considered a gold standard for the evaluation of dialog agents. However, this is also a very expensive and time-intensive approach. Thus, researchers mostly rely on automatic metrics when developing dialog systems. In this article, we’ll introduce a brief overview of the…
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