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The Neural Tangent Kernel
The Neural Tangent Kernel
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Gradient Flow
Gradient Flow
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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
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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
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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
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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
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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
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What Constitutes Good Contrastive Learning in Time-Series Forecasting?
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
C. Zhang, Q. Yan, L. Meng, and T. Sylvain. Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2023
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Constant Memory Attention Block
Constant Memory Attention Block
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. Workshop at International Conference on Machine Learning (ICML), 2023
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DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
E. Rahimian, G. Javadi, F. Tung, and G. Oliveira. Workshop at The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
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Meta Temporal Point Processes
Meta Temporal Point Processes
W. Bae, M. O. Ahmed, F. Tung, and G. Oliveira. International Conference on Learning Representations (ICLR), 2023
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Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
Self-Supervised Time Series Representation Learning with Temporal-Instance Similarity Distillation
A. Hajimoradlou, L. Pishdad, F. Tung, and M. Karpusha. Workshop at International Conference on Machine Learning (ICML), 2022
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An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Y. Wen, Y. Hao, Y. Cao, and L. Mou. International Conference on Learning Representations (ICLR), 2023
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Latent Bottlenecked Attentive Neural Processes
Latent Bottlenecked Attentive Neural Processes
L. Feng, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Learning Representations (ICLR), 2023
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Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
Inspiring Impact and Innovation: Let's SOLVE it Presentations Day Fall 2023
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Borealis AI at NeurIPS 2023
Borealis AI at NeurIPS 2023
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RESPECT AI: Decarbonizing AI with Dr. Sasha Luccioni, Climate Lead and AI Researcher of Hugging Face
RESPECT AI: Decarbonizing AI with Dr. Sasha Luccioni, Climate Lead and AI Researcher of Hugging Face
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American Banker - Gen AI Integration and Banking Services: A Balancing Act
American Banker - Gen AI Integration and Banking Services: A Balancing Act
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RESPECT AI: Building AI ethics into the business with Giovanni Leoni of Credo AI
RESPECT AI: Building AI ethics into the business with Giovanni Leoni of Credo AI
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Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
Empowering Diversity: Spotlight on Borealis AI's 2023 Women Fellows in Research
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The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The Borealis AI 2022-2023 Fellowships: Fostering Next-Generation Research Talent
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Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know Borealis AI's Fall 2023 Research Interns and Engineering Co-op Students
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AI is quietly building financial intelligence for younger Canadians, yet skepticism remains, reveals new RBC Survey
AI is quietly building financial intelligence for younger Canadians, yet skepticism remains, reveals new RBC Survey
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AI as a force for good: Let’s SOLVE it Demo Day
AI as a force for good: Let’s SOLVE it Demo Day