The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence (AI) called representation learning, generally referred to as deep learning.
ICLR is globally renowned for presenting and publishing cutting-edge research on all aspects of deep learning used in AI, statistics and data science, as well as critical application areas such as machine vision, computational biology, speech recognition, text understanding, gaming, and robotics. Such a breath of research attracts various attendees, from academic and industrial researchers to entrepreneurs and engineers to graduate students and postdocs.
With ICLR being held in Vienna, Austria, from May 7th to May 11th, 2024, the RBC Borealis team is travelling across the globe to showcase our latest research and the cutting-edge work our teams are doing to advance AI in financial services.
Supporting the Research Community
Canada’s future as a world leader in AI requires us to work together as a community to bolster and grow the whole AI ecosystem, from institutes and universities to start-ups and companies. Therefore, RBC Borealis is proud to be a gold sponsor of ICLR 2024 alongside other leading AI companies.
RBC Borealis is also committed to building a team of the best AI researchers and engineers to ensure we have the talent to explore and harness AI technology and redefine what a bank can do. We are excited to meet some of the brightest minds in the industry and discuss the latest advancements in the field. Our team will be at booth #10 all week to connect and build relationships with ICLR participants, discuss our accepted papers, and showcase our latest research, product portfolio, and unique career opportunities.
Our Research on the Global Stage
As one of Canada’s leading AI research institutes, RBC Borealis is proud to have our research recognized at ICLR 2024.
Accepted Papers
-
ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR: Contrastive Regularizer for Deep Imbalanced Regression
M. Keramati, L. Meng, and R. David Evans. International Conference on Learning Representations (ICLR), 2024
-
Tree Cross Attention
Tree Cross Attention
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Learning Representations (ICLR), 2024
-
Ensemble Distillation for Unsupervised Constituency Parsing
Ensemble Distillation for Unsupervised Constituency Parsing
B. Shayegh, Y. Cao, X. Zhu, J. Chi Kit Cheung, and L. Mou. International Conference on Learning Representations (ICLR), 2024
-
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Q. Yan, R. Seraj, J. He, L. Meng, and T. Sylvain. International Conference on Learning Representations (ICLR), 2024
Accepted Workshop Papers
-
Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series
Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series
Hamed Shirzad, R. Deng, H. Zhao, and F. Tung. Workshop at International Conference on Representation Learning (ICLR), 2024
Our research being accepted to top-tier conferences such as ICLR holds immense significance at RBC Borealis. It validates the quality and impact of our research. The rigorous peer review process at ICLR ensures that only high-quality work gets accepted and presenting our work at this venue provides visibility and fosters collaboration with leading researchers and practitioners from around the world.
Hossein Hajimirsadeghi
Principal Researcher, RBC Borealis
Throughout ICLR, we will share additional insights into this work with a series of blogs from our research team.
Unique Opportunities
As we continue to deliver on our mission to build the AI ecosystem in Canada, we believe participating in events like ICLR provides us solid platforms to encourage, grow and diversify AI and Machine Learning (ML) in Canada.
I’m excited to go and meet with the international ML community. After conferences such as ICLR, I find I come away with a hundred new ideas and better knowledge about the state of the art.
Dave Evans
Senior Research Engineer, RBC Borealis
Attending #ICLR2024? Let’s Chat!
If you plan on attending ICLR in Vienna from May 7th to 11th, 2024, we encourage you to visit our booth and chat about all things AI in finance with our team. You can keep up with #ICLR2024 on our social channels – we’ll share blogs, recommended papers, open roles, and daily highlights.
We're at ICLR 2024!
Want to find out what else the RBC Borealis team will get up to during #ICLR2024? Visit our dedicated page for all things ICLR.
Learn more