Results for Deep Learning
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Bayesian Neural Networks
Bayesian Neural Networks
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RBC maintains strong AI leadership position in financial services
RBC maintains strong AI leadership position in financial services
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Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
J. Wu, K. N. Plataniotis, *L. Z. Liu, *E. Amjadian, and Y. A. Lawryshyn. Special Issue Interpretability, Accountability and Robustness in Machine Learning (Algorithims), 2023
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DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
*A. Sajedi, *S. Khaki, E. Amjadian, L. Z. Liu, Y. A. Lawryshyn, and K. N. Plataniotis. International Conference in Computer Vision (ICCV), 2023
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Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis 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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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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RBC Borealis at ICLR 2024
RBC Borealis at 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
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Bayesian Neural Networks
Bayesian Neural Networks
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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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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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NeurIPS 2023 Recommended Reading List
NeurIPS 2023 Recommended Reading List
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Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data
J. Wu, K. N. Plataniotis, *L. Z. Liu, *E. Amjadian, and Y. A. Lawryshyn. Special Issue Interpretability, Accountability and Robustness in Machine Learning (Algorithims), 2023
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DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
*A. Sajedi, *S. Khaki, E. Amjadian, L. Z. Liu, Y. A. Lawryshyn, and K. N. Plataniotis. International Conference in Computer Vision (ICCV), 2023
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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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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022
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Heterogeneous Multi-task Learning with Expert Diversity
Heterogeneous Multi-task Learning with Expert Diversity
R. Aoki, F. Tung, and G. Oliveira. Transactions on Computational Biology and Bioinformatics (TCBB), 2022
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Learning Discriminative Prototypes with Dynamic Time Warping
Learning Discriminative Prototypes with Dynamic Time Warping
X. Chang, F. Tung, and G. Mori. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021
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Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
F. L. Da Silva, P. Hernandez-Leal, B. Kartal, and M. E. Taylor. Association for the Advancement of Artificial Intelligence (AAAI), 2020
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Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
N. Douglas, D. Yim, B. Kartal, P. Hernandez-Leal, M. E. Taylor, and F. Maurer. International Conference on Interactive Surfaces and Spaces (ISS), 2019
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A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
P. Hernandez-Leal, B. Kartal, and M. E. Taylor. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2019
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Noise Flow: Noise Modeling with Conditional Normalizing Flows
Noise Flow: Noise Modeling with Conditional Normalizing Flows
A. Abdelhamed, M. Brubaker, and M. S. Brown. International Conference on Computer Vision (ICCV), 2019
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Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
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Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
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RBC maintains strong AI leadership position in financial services
RBC maintains strong AI leadership position in financial services
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Supporting Emerging Tech Talent: RBC Borealis at the DLRL Summer School
Supporting Emerging Tech Talent: RBC Borealis 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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RBC Borealis at ICLR 2024
RBC Borealis 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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RBC Borealis at NeurIPS 2023
RBC Borealis at NeurIPS 2023
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Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
Empowering Diversity: Spotlight on RBC Borealis 2023 Women Fellows in Research
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The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
The RBC Borealis 2022-2023 Fellowships: Fostering Next-Generation Research Talent
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Unlocking Potential: Get to Know RBC Borealis's Fall 2023 Research Interns and Engineering Co-op Students
Unlocking Potential: Get to Know RBC Borealis's Fall 2023 Research Interns and Engineering Co-op Students
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RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor
RESPECT AI: Collaborating with generative AI for the greater good with Dr. Graham Taylor