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Pre-training multi-billion parameter LLMs on a single GPU with Flora
Pre-training multi-billion parameter LLMs on a single GPU with Flora
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Neural Tangent Kernel Applications
Neural Tangent Kernel Applications
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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
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Tree Cross Attention
Tree Cross Attention
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ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR: Contrastive Regularizer for Deep Imbalanced Regression
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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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EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Y. Wen, B. Shayegh, C. Huang, Y. Cao, and L. Mou. Workshop at International Conference on Machine Learning (ICML), 2024
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Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
A. Vani, F. Tung, G. Oliveira, and H. Sharifi. International Conference on Machine Learning (ICML), 2024
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Memory Efficient Neural Processes via Constant Memory Attention Block
Memory Efficient Neural Processes via Constant Memory Attention Block
L. Feng, F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Machine Learning (ICML), 2024
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Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Flora: Low-Rank Adapters Are Secretly Gradient Compressors
Y. Hao, Y. Cao, and L. Mou. International Conference on Machine Learning (ICML), 2024
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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
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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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Supporting Emerging Tech Talent: Borealis AI at the DLRL Summer School
Supporting Emerging Tech Talent: Borealis AI at the DLRL Summer School
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Leading in artificial intelligence through education
Leading in artificial intelligence through education
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Borealis AI at ICLR 2024
Borealis AI at ICLR 2024
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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