Richard Socher
(8 articles)
Word Vector
Numerical representations of words that capture their meanings, relationships, and context within a language.
Generality: 690
Similarity Learning
A technique in AI focusing on training models to measure task-related similarity between data points.
Generality: 675
Embedding Space
Mathematical representation where high-dimensional vectors of data points, such as text, images, or other complex data types, are transformed into a lower-dimensional space that captures their essential properties.
Generality: 700
Embedding
Representations of items, like words, sentences, or objects, in a continuous vector space, facilitating their quantitative comparison and manipulation by AI models.
Generality: 865
Multimodal
AI systems or models that can process and understand information from multiple modalities, such as text, images, and sound.
Generality: 837
SSL
Self-Supervised Learning
Self-Supervised Learning
Type of ML where the system learns to predict part of its input from other parts, using its own data structure as supervision.
Generality: 815
Base Model
Pre-trained AI model that serves as a starting point for further training or adaptation on specific tasks or datasets.
Generality: 790
Self-Supervised Pretraining
ML approach where a model learns to predict parts of the input data from other parts without requiring labeled data, which is then fine-tuned on downstream tasks.
Generality: 725