The Latest and Greatest from Salesforce Research

Salesforce Research at CVPR 2022

Conference Overview The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the annual conference on Computer Vision. CVPR is composed of both the main conference, as well as workshops and other courses, to provide a unique learning experience and networking opportunities in the field of Computer Vision. CVPR

20 Jun 2022 • Mia Ferrer #cvpr2022

Salesforce Research at ICLR 2022

Conference Overview This year marks the Tenth International Conference on Learning Representations (ICLR), 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 advancements in cutting-edge deep learning

25 Apr 2022 • Mia Ferrer #ICLR

Salesforce Research at ICLR 2021

This year marks the 9th annual conference on International Conference on Learning Representations (ICLR) taking place in a fully virtual format from May 4th through May 8th, 2021. ICLR is a premier academic conference in the field of representation learning, generally referred to as deep learning or feature learning. ICLR

26 Apr 2021 • Mia Ferrer #ICLR

Salesforce Research at ICLR 2019

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

22 Apr 2019 • Alexandria Murray #news

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

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,

16 Apr 2019 • Alexandria Murray #news