Neural Network
A computational model inspired by biological neural networks
Category: Concepts
Transformer
A neural network architecture based on attention mechanisms
Dataset Distillation
Dataset distillation is the process of creating a smaller synthetic dataset that retains the performance characteristics of a larger real dataset when used for training models.
PyTorch Neural Network
A neural network implementation in PyTorch
Interleaved reasoning
A process where reasoning is integrated dynamically and concurrently with another task, such as visual generation.
Warm Starting
Warm Starting refers to the practice of using the solution of a previous problem as the starting point for solving a new, related problem, which can improve convergence speed.
Fine-Grained Classification
Fine-grained classification refers to the task of distinguishing between categories that are very similar to each other.
DINO
DINO is a self-supervised learning method that uses knowledge distillation to learn visual representations without labeled data.
Self-Supervised Learning
Self-supervised learning is a type of machine learning where the model learns to predict parts of the input from other parts, often using unlabeled data.
Pre-trained Self-Supervised Models
Pre-trained self-supervised models are neural networks trained on large datasets without explicit labels, learning to extract features that can be fine-tuned for specific tasks.