Dzmitry Bahdanau
(7 articles)
Attention Matrix
Component in attention mechanisms of neural networks that determines the importance of each element in a sequence relative to others, allowing the model to focus on relevant parts of the input when generating outputs.
Generality: 735
Attention Mechanisms
Dynamically prioritize certain parts of input data over others, enabling models to focus on relevant information when processing complex data sequences.
Generality: 830
Attention
Refers to mechanisms that allow models to dynamically focus on specific parts of input data, enhancing the relevance and context-awareness of the processing.
Generality: 870
Attention Seeking
A behavior exhibited by neural networks, where they dynamically focus computational resources on important parts of the input, enhancing learning and performance.
Generality: 830
Sequence Model
Model designed to process and predict sequences of data, such as time series, text, or biological sequences.
Generality: 830
Attention Network
Type of neural network that dynamically focuses on specific parts of the input data, enhancing the performance of tasks like language translation, image recognition, and more.
Generality: 830
Attention Pattern
Mechanism that selectively focuses on certain parts of the input data to improve processing efficiency and performance outcomes.
Generality: 820