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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
Publications
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Constant Memory Attention Block
Temporal Point Processes
Publications
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DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Computer Vision, Multi-task Learning
Publications
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Computer Vision, Imbalanced Learning
Publications
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Meta Temporal Point Processes
Temporal Point Processes
Publications
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Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
Self-Supervised Learning, Time series Modelling
Publications
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An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Natural Language Processing
Publications
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Latent Bottlenecked Attentive Neural Processes
Transformers
Publications
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Towards Better Selective Classification
Computer Vision
Publications
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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Time series Modelling, Transformers
Publications
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Efficient Queries Transformer Neural Processes
Transformers
Publications
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Gumbel-Softmax Selective Networks
Computer Vision
Publications
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Training and fine-tuning large language models
Generative Models
Research
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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
Time series Modelling
Research
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A High-level Overview of Large Language Models
Learning And Generalization, Natural Language Processing
Research
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ACL 2023 Recommended Reading List
causality, Generative Models, Natural Language Processing
Research
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Unveiling the Role of Computer Vision in Financial Services
Computer Vision
Research
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CVPR 2023 Recommended Reading List
Computer Vision
Research
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Computer Vision
Research
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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
Research
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Introducing ATOM: Borealis AI’s research focus on Asynchronous Temporal Models
Research
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Few-Shot Learning & Meta-Learning | Tutorial
Learning And Generalization
Research
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Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Time series Modelling
Research
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That time we built a stock exchange: Borealis hosts its first algorithmic trading competition
Engineering
Research
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RESPECT AI: Building AI ethics into the business with Giovanni Leoni of Credo AI
Responsible AI
News
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Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
News
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The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
News
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Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
News
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AI is quietly building financial intelligence for younger Canadians, yet skepticism remains, reveals new RBC Survey
News
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AI as a force for good: Let’s SOLVE it Demo Day
News
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RESPECT AI: Governance for growth with Abhishek Gupta of Montreal AI Ethics Institute
Responsible AI
News
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RESPECT AI: Responsible for future success with Dr. Karina Alexanyan of All Tech is Human
Responsible AI
News
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Sharing our vision: Borealis AI at CVPR 2023
Computer Vision
News
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RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor
Responsible AI
News
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RESPECT AI: Building trust in an AI-enabled world with Preeti Shivpuri, Deloitte
Responsible AI
News
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RESPECT AI: Making machines think more like humans with Prof. Yoshua Bengio
Responsible AI
News