This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text AI algorithms can significantly increase the efficiency of the original content generation … [Read more...] about Novel AI Methods For Video Generation for Marketing & Advertising
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AI Approaches For Text Generation In Marketing & Advertising Use Cases
This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text Can AI help you write high converting copy for your advertising and marketing … [Read more...] about AI Approaches For Text Generation In Marketing & Advertising Use Cases
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 papers were presented at the conference. As usual, the Outstanding and Distinguished Papers awards were given to the papers exemplifying the highest standards in technical contribution and exposition. Of course, there were many more papers presented at the conference … [Read more...] about AAAI 2021: Top Research Papers With Business Applications
Transformers in Computer Vision
Transformer architecture has achieved state-of-the-art results in many NLP (Natural Language Processing) tasks. One of the main breakthroughs with the Transformer model could be the powerful GPT-3 released in the middle of the year, which has been awarded Best Paper at NeurIPS2020. In Computer Vision, CNNs have become the dominant models for vision tasks … [Read more...] about Transformers in Computer Vision
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 Modern NLP and the Need of Interpretability!”At Embibe, we focus on developing interpretable and explainable Deep Learning systems, and we survey the current state of the art techniques to answer … [Read more...] about Linguistics Wisdom of NLP Models
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 Modern NLP and the Need of Interpretability!”At Embibe, we desiderate answers to the open questions while we build the NLP platform to solve numerous problems for the academic content. Modern NLP models (BERT, GPT, … [Read more...] about Discovering the Encoded Linguistic Knowledge in NLP Models
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 the … [Read more...] about Leading AI & Machine Learning Research Trends 2021
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 1900!) and read abstracts of 175 papers, and extracted DL engineer relevant insights from the following papers. This is part 2. See part 1 here. If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be … [Read more...] about NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer – Computer Vision
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 Deep Learning research is empirical with validation of new techniques and theories done on datasets that closely resemble real-world datasets/tasks (ImageNet pre-trained weights are still useful!). But, churning a vast amount of … [Read more...] about NeurIPS 2020 Papers: Takeaways for a Deep Learning Engineer
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 ML aficionados and knowledge graph connoisseurs 🧐. Tune in to find out! This year, NeurIPS had 1900 accepted papers 😳 and 100+ among them are on graphs. Plus take into account several prominent workshops like KR2ML, DiffGeo4ML, and LMCA. Be sure to check … [Read more...] about Machine Learning on Knowledge Graphs at NeurIPS 2020