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What Constitutes Good Contrastive Learning in Time-Series Forecasting?

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning

Computer Vision, Multi-task Learning

Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate

Computer Vision, Imbalanced Learning

Towards Better Selective Classification

Computer Vision

Gumbel-Softmax Selective Networks

Computer Vision

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU

Computer Vision, Transformers

RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Computer Vision, Imbalanced Learning

Learning Discriminative Prototypes with Dynamic Time Warping

Computer Vision

Learning User Representations for Open Vocabulary Image Hashtag Prediction

Computer Vision, Learning And Generalization

Adapting Grad-CAM for Embedding Networks

Computer Vision, Responsible AI

Generating Videos of Zero-Shot Compositions of Actions and Objects

Computer Vision

Object Grounding via Iterative Context Reasoning

Computer Vision

What Constitutes Good Contrastive Learning in Time-Series Forecasting?

Time series Modelling

ACL 2023 Recommended Reading List

causality, Generative Models, Natural Language Processing

Unveiling the Role of Computer Vision in Financial Services

Computer Vision

Borealis AI at International Conference on Learning Representations (ICLR): Machine Learning for a better financial future

Learning And Generalization, Natural Language Processing, Time series Modelling

Introducing ATOM: Borealis AI’s research focus on Asynchronous Temporal Models

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

Time series Modelling

Adaptive Models of Non-Stationary Dynamics in Capital Markets

Self-supervised Learning in Time-Series Forecasting — A Contrastive Learning Approach

Learning And Generalization, Time series Modelling

Borealis AI at the Neural Information Processing Systems (NeurIPS) Conference 2022

NeurIPS 2022 Recommended Reading List

Feature Importance and Explainability

What you need to know about our top 5 research papers at CVPR 2022

Computer Vision

Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students  

AI as a force for good: Let’s SOLVE it Demo Day

Sharing our vision: Borealis AI at CVPR 2023

Computer Vision

RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor

Responsible AI

RESPECT AI: Making machines think more like humans with Prof. Yoshua Bengio

Responsible AI

The Borealis AI 2023 Machine Learning Researcher Internship and Engineering Co-op Programs: Developing Tomorrow’s AI Leaders  

2022 Report: Canadian businesses’ use of AI

Driving Innovation in Financial Services: Borealis AI’s Research Areas of Focus

RESPECT AI: What is fair? And can we measure it?

Responsible AI

AI as a Personal Banker

Borealis AI Graduate Fellowships - The Class of 2020

Borealis AI Announces the Fellows of 2020