Dichotomy-Based Multi-Expert Agent Inference
This technique involves retrieving similar cases and integrating multimodal reports with expert predictions through a structured inference process.
This technique involves retrieving similar cases and integrating multimodal reports with expert predictions through a structured inference process.
Masked prediction is a self-supervised learning technique where parts of the input data are masked, and the model is trained to predict the missing information.
RAG is a method that combines retrieval of relevant information with generative models to enhance the quality of predictions.
A technique that represents data from multiple modalities (e.g., text and images) in a unified vector space.
Robustness-aware learning refers to training models in a way that enhances their performance and reliability in the presence of unexpected disturbances or anomalies.
A structured training approach that involves two distinct phases to enhance model learning and performance.
A method that preserves structural constraints in model compression while optimizing for multiple scales.
A method for optimizing multi-layer perceptrons (MLPs) to enhance model efficiency across different configurations.
A technique used to reduce the size of a neural network by removing weights or neurons that contribute little to the model’s performance.
An algorithmic approach that aggregates votes from multiple sources in a way that is resilient to adversarial manipulation or noise.