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Conference Overview This year marks the Tenth International Conference on Learning Representations ( ICLR [https://iclr.cc/Conferences/2022]), one of the premier academic conferences dedicated to advancing research in representation learning - a type of machine learning also referred to as feature learning or deep learning. ICLR features the latest

We are proud to announce the 2020 winners of our Salesforce AI Research Grant. Each of our winners will receive a $50K grant to advance their work and help us shape the future of AI.

This year marks the 24th annual Empirical Methods in Natural Language Processing (EMNLP) [https://2020.emnlp.org/] conference reimagined for the first time ever in a fully virtual format. EMNLP is a leading conference in the area of Natural Language Processing covering a broad spectrum of diverse research areas that

For all the good that AI can bring, responsible tech companies understand they must recognize, prepare for, and mitigate the potential unintended, harmful effects. That’s why Salesforce sees ethics as foundational to AI — and why we’re sharing a closer look at how we infuse an ethical process into

Our Salesforce Research team is inviting submissions from university faculty, non-profit organizations, and NGOs to apply for our Salesforce AI Research Grant.

Sneak a peek into our Industrial PhD Program with Samson.

We show that deep neural models can describe common sense physics in a valid and sufficient way that is also generalizable. Our ESPRIT framework is trained on a new dataset with physics simulations and descriptions that we collected and have open-sourced.

We are proud and excited to announce this year’s winners of the Salesforce Research Deep Learning Grant.

The Salesforce Research team announces their second annual Deep Learning Grant to fund AI research projects from around the world.

For some, the world we live in today can be represented as data in high-dimensional spatiotemporal space—which we humans typically use language to describe, interpret, and reason about. For Salesforce Research Intern, Kevin (Chih-Yao) Ma, this topic became a key focal point in his research “ Self-Monitoring Navigation Agent via

Most research on question answering implicitly assumes that the answer and its evidence appear close together in a single document. How can we teach computers to answer questions that require reasoning over multiple pieces of evidence?

May 6th - May 9th @ Ernest N. Morial Convention Center, New Orleans [https://www.google.com/maps/place/New+Orleans+Ernest+N.+Morial+Convention+Center/@29.9432797,-90.0640833,15z/data=!4m5!3m4!1s0x0:0x4439e9b5b2d17a17!8m2!3d29.9432797!4d-90.0640833] ABOUT: Salesforce is excited to be a diamond sponsor of

In the research paper, “A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillatio [https://openreview.net/forum?id=r14EOsCqKX]n” Futureforce PhD Intern Akhilesh Gotmare, [https://openreview.net/profile?email=akhilesh.gotmare%40epfl.ch] worked with Research Scientist Nitish Shirish Keskar [https://openreview.net/profile?email=

There's a lot of conversation these days around deep learning, specifically around its remarkable successes in solving challenging reinforcement learning (RL) problems. That said, deep learning still suffers from the need to engineer a reward function that not only reflects the task, but is also carefully shaped. It&

Imagine having your own personal digital assistant. Not merely the command-oriented smart speakers of today, but rather a more sophisticated assistant that knows your behaviors and can anticipate your next inquiry through data-driven intelligence. It's just the sort of thing Futureforce PhD Intern Chien-Sheng (Jason) Wu aims to

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.