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Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering ...
Nature
Skin diseases pose significant challenges in China. Internet health forums offer a platform for millions of users to discuss skin diseases...
4 months ago
Enhancing Continual Learning with IMEX-Reg: A Robust Approach to Mitigate Catastrophic Forgetting
MarkTechPost
The ability of systems to adapt over time without losing previous knowledge, known as continual learning (CL), poses a significant challenge...
1 month ago
Optimizing Retrieval-Augmented Generation (RAG) by Selective Knowledge Graph Conditioning
Towards Data Science
Artificial intelligence software was used to enhance the grammar, flow, and readability of this article's text.
6 months ago
Domain-PFP allows protein function prediction using function-aware domain embedding representations ...
Nature
Domains are functional and structural units of proteins that govern various biological functions performed by the proteins.
8 months ago
This AI Paper Unveils InternVL: Bridging the Gap in Multi-Modal AGI with a 6 Billion Parameter Vision-Language Foundation Mode
MarkTechPost
The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress...
6 months ago
Self-supervised representation learning using feature pyramid siamese networks for colorectal polyp detection ...
Nature
Colorectal cancer is a leading cause of cancer-related deaths globally. In recent years, the use of convolutional neural networks in...
6 months ago
Learnable latent embeddings for joint behavioural and neural analysis
Nature
Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural...
13 months ago
Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions
MarkTechPost
Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions.
15 months ago
Microsoft AI Research Introduces E5 Model Trained in a Contrastive Manner with Weak Supervision Signals
MarkTechPost
In the latest research, Microsoft researchers developed an E5 model designed for general-purpose text embeddings. Text embeddings, which are...
18 months ago