The AI Economist: Join the Moonshot

Stephan Zheng ·

We are launching an open source collaborative project to build an AI Economist that can be used to guide policy making in the real world. We invite you to join us in our mission to help improve the world with AI and economics.

Salesforce Research at ACL 2020

Audrey Cook ·

The 58th Association for Computational Linguistics (ACL) Conference kicked off this week and runs from Sunday, Jul 5 to Friday, Jul 10 in a fully virtual format. ACL is the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with

ERASER: A Benchmark to Evaluate Rationalized NLP Models

Nazneen Rajani · #research

Many NLP applications today deploy state-of-the-art deep neural networks that are essentially black-boxes. One of the goals of Explainable AI (XAI) is to have AI models reveal why and how they make their predictions so that these predictions are interpretable by a human. But work in this direction has been

Salesforce Research at ICLR 2019

Alexandria Murray · #news

May 6th - May 9th @ Ernest N. Morial Convention Center, New Orleans ABOUT:Salesforce is excited to be a diamond sponsor of the Seventh International Conference on Learning Representations happening Monday, May 6th through Thursday, May 9th in New Orleans, Louisiana. We encourage you to stop by our Salesforce Booth

Q&A with Salesforce Research Intern Akhilesh Gotmare on how "Optimization and Machine Learning" led him to ICLR.

Alexandria Murray · #news

In the research paper, “A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation” Futureforce PhD Intern Akhilesh Gotmare, worked with Research Scientist Nitish Shirish Keskar, Director of Research Caiming Xiong, and Salesforce Chief Scientist Richard Socher, to leverage recent tools built specifically for analyzing deep networks,

Ethics in AI research papers and articles

Kathy Baxter · #ethics

This is my obsessively curated list of research papers and articles on ethics in AI that I have been collecting over the years. Ones in bold are those that I refer back to and found particularly useful. Let me know if I am missing your favorites.

The Natural Language Decathlon

Bryan McCann · #research

Deep learning has significantly improved state-of-the-art performance for natural language processing tasks like machine translation, summarization, question answering, and text classification.

Interpretable Counting for Visual Question Answering

Alex Trott · #research

Learning to answer open-ended questions about images, a task known as visual question answering (VQA), has received much attention over the last several years. VQA has been put forth as a benchmark for complete scene understanding and flexible reasoning, two fundamental goals of AI.

Improving end-to-end Speech Recognition Models

Yingbo Zhou · #research

Speech recognition has been successfully depolyed on various smart devices, and is changing the way we interact with them. Traditional phonetic-based recognition approaches require training of separate components such as pronouciation, acoustic and language model.

How to Talk to Your Database

Victor Zhong · #research

A vast amount of today’s information is stored in relational databases. These databases provide the foundation of systems such as medical records, financial markets, and electronic commerce.