Beyond Unimodal: Embracing Multimodal Deep Learning for Enhanced AI
Multimodal deep learning is a subfield of machine learning that combines multiple sources of data to gain understanding.
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- Feb 22
- 8 min
Leveraging Reasoning-Modulated Representations for MRI and CT scan: A case study
Reasoning-modulated representations aim to create AI systems that are not just data-driven, but also capable of understanding and reasoning.
- Feb 1
- 13 min
NAS + Reinforcement learning: A review
Neural architecture search (NAS) is a method for automatically discovering the best neural network architecture for a given task.
- Jan 31
- 12 min
Perplexity in AI and Humans
Perplexity is a useful metric to evaluate models in Natural Language Processing (NLP).
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