Salesforce Research at ICLR 2019

Alexandria Murray

April 22, 2019 5 min read

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 211 to meet the following members of our team and learn about opportunities to shape the future of AI with us:

Richard Socher, Chief Scientist
Steven Hoi, Managing Director, Salesforce Research Asia
Caiming Xiong, Senior Director of Research, AI
Nitish Shirish Keskar, Senior Manager, Research
Ehsan Hosseini-Asl, Senior Research Staff
Wojciech Kryscinski, Research Scientist
Ivan Brugere, Research Scientist
Alex Trott, Research Scientist
Tian Xie, Research Engineer
Victoria Lin, Senior Research Staff

TECH TALKS:
Want to hear more on a specific research area we’ve been working on? Join us for our Salesforce Research Tech Talks happening throughout the conference at our booth.

May 6th, 4-4:30pm
SPEAKER: Wojciech Kryscinski, Research Scientist
TOPIC: Improving Abstraction in Text Summarization
May 7th, 10:30-11am
SPEAKER: Xi Victoria Lin, Senior Research Staff
TOPIC: Towards Explainable and Scalable Knowledge Graph Inference
May 8th, 4-4:30pm
SPEAKER: Richard Socher, Chief Scientist
TOPIC: The Future of Multitask Learning

ICLR PAPERS

TITLE: Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation
AUTHORS: Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher
DATE/TIME: Tue May 7th 11:00 AM — 01:00 PM @ Great Hall BC

TITLE: Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
AUTHORS: Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
DATE/TIME: Tue May 7th 11:00 AM — 01:00 PM @ Great Hall BC

TITLE: Competitive Experience Replay
AUTHORS: Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong
DATE/TIME: Wed May 8th 11:00 AM — 01:00 PM @ Great Hall BC

TITLE: A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
AUTHORS: Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
DATE/TIME: Wed May 8th 04:30 — 06:30 PM @ Great Hall BC

TITLE: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue
AUTHORS: Chien-Sheng (Jason) Wu, Richard Socher, Caiming Xiong
DATE/TIME: Thu May 9th 11:00 AM — 01:00 PM @ Great Hall BC

TITLE: Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering
AUTHORS: Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
DATE/TIME: Thu May 9th 11:00 AM — 01:00 PM @ Great Hall BC

ICLR BLOGS

If last month’s announcement of a new Salesforce Research hub in Singapore was any indication, Salesforce is committed to investing in the long-term future of AI. One way we’re doing this is by investing in our future workforce through our PhD program, in which we develop and train top postgraduate students specializing in AI, deep learning, machine learning, computer vision, natural language processing, and more.

Under the guidance of Chief Scientist Richard Socher and the Salesforce Research team, our students are having an impact far outside the classroom. Case in point: five recent Futureforce interns first authored research papers that were accepted by the International Conference on Learning Representations (ICLR). They will be flown out to New Orleans to present their work at the annual ICLR conference.

We caught up with some of our ICLR paper first authors to discuss their research on the team and reactions to having their papers selected for ICLR.

JOIN OUR TEAM

As part of our team you’ll learn unique skills, work with talented people and help us shape the future of AI. We’re located in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!

RESEARCH SCIENTIST | SALESFORCE RESEARCH
Discover new research problems, develop new models, design careful experiments and advance the future of AI. We believe that making substantive progress on hard applications can drive and sharpen the research questions we study, and, in turn, scientific breakthroughs can spawn entirely new applications.

RESEARCH ENGINEER | SALESFORCE RESEARCH
Be at the intersection of software engineering and cutting-edge research in machine learning and artificial intelligence. Make an impact ranging from implementing research models to building rapid-prototype demos that show off applications of deep learning on production data.

POSTDOCTORAL RESEARCHER, AI | SALESFORCE RESEARCH
Collaborate on and contribute to challenging research problems in areas such as natural language processing, computer vision, and reinforcement learning. Tackle real-world problems from Salesforce’s enterprise customers by harnessing the latest deep learning techniques. Our postdoctoral researchers have the opportunity to pursue independent research, give talks, attend conferences and build relationships with academic institutions as they influence research across the industry and develop solutions for large scale problems.

PhD INTERN | SALESFORCE RESEARCH
We’re looking for talent to shape the future of AI. Our PhD internship offers eligible PhD/MS candidates in a relevant research area an opportunity to work with a team of research scientists and engineers on projects that can lead to a submission to top-tier conferences. We look for candidates with strong backgrounds in deep learning, machine learning, natural language processing, computer vision or reinforcement learning and who have published in top-tier conferences or journals. Internships available for Winter/Spring/Fall.

Apply today at https://einstein.ai/careers