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

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