Cross-Modal Similarity-Aware Patch Mining
This technique involves identifying and mining patches of data across different modalities based on their similarities.
Category: Concepts
Confidence-Aware Patch Mining
Confidence-Aware Patch Mining focuses on evaluating the reliability of mined patches to improve the quality of data used in analysis.
Low-Magnification Screening
Low-Magnification Screening is a method for analyzing pathology images at lower magnifications to identify relevant features.
Chain-of-Thought (CoT)
Chain-of-Thought reasoning involves generating structured reasoning processes to enhance decision-making and explainability.
Dichotomy-Based Multi-Expert Agent Inference
This technique involves retrieving similar cases and integrating multimodal reports with expert predictions through a structured inference process.
SurvAgent
SurvAgent is a hierarchical multi-agent system designed for multimodal survival prediction in oncology.
Data Privacy in Speech Processing
Data privacy in speech processing refers to techniques and frameworks that ensure the confidentiality and security of speech data during processing and transmission.
Training Time Reduction
Training time reduction refers to techniques or frameworks that decrease the time required to train machine learning models.
SUPERB Benchmark
The SUPERB benchmark is a suite of tasks designed to evaluate the performance of speech processing models across various applications.
Masked Prediction
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.