WikiText-103
WikiText-103 is a large-scale language model designed for natural language processing tasks, specifically fine-tuned for generating human-like text based on a variety of prompts.
Artificial Intelligence
Łukasz Kaiser
Łukasz Kaiser is a prominent researcher and expert in the field of artificial intelligence, particularly known for his work in deep learning and neural networks.
CenterPoint (center-based 3D detection)
CenterPoint is a 3D object detection method that localizes objects by detecting their centers in point cloud data. It is designed for autonomous driving and robotics applications, improving detection accuracy and efficiency.
Chain-of-thought prompting
Chain-of-thought prompting is a technique in artificial intelligence where a model is guided to generate intermediate reasoning steps to improve problem-solving and answer accuracy. It involves prompting language models to articulate their reasoning process explicitly, enhancing performance on complex tasks.
Neural ordinary differential equations (Neural ODE)
Neural ordinary differential equations (Neural ODEs) are a class of machine learning models that represent the transformation of data through continuous dynamics defined by differential equations. Introduced in 2018, Neural ODEs generalize traditional discrete neural networks by modeling hidden layers as the solution to an ordinary differential equation parameterized by a neural network.
GraphSAGE
GraphSAGE is a framework for inductive representation learning on large graphs. It generates node embeddings by sampling and aggregating features from a node’s local neighborhood, enabling scalable and generalizable graph learning.
SHAP (Shapley additive explanations)
SHAP (Shapley Additive Explanations) is a method for explaining the output of machine learning models, providing insights into feature contributions.
Supervised learning
Supervised learning is a type of machine learning where models are trained on labeled data to make predictions or classify new data. It involves using input-output pairs to guide the learning process.
QMIX (multi-agent reinforcement learning)
QMIX is a multi-agent reinforcement learning algorithm designed to enable efficient coordination among multiple agents in complex environments.
Radial basis function network
Radial Basis Function Networks (RBFNs) are a type of artificial neural network that uses radial basis functions as activation functions. They are primarily used for pattern recognition and function approximation.