Machine learning

self-supervised learning

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class of machine learning techniques in which a task is solved based on pseudo-labels which help ini...

text-to-video model

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machine learning model

ensemble learning

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in machine learning, the use of multiple algorithms to obtain better predictive performance than fro...

boosting

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ensemble meta-algorithm for reducing bias and variance in machine learning

feature learning

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a set of techniques that learn a feature: a transformation of raw data input to a representation tha...

quantum machine learning

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Quantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique ...

online machine learning

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a method where a model is trained incrementally on data as it becomes available, in contrast to batc...

artificial immune system

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Class of rule-based machine learning systems

multimodal learning

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machine learning combining different information resources, such as images and text

automated machine learning

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process of automating the end-to-end process of machine learning

vision transformer

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machine learning algorithm for vision processing

deep reinforcement learning

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techniques combining deep learning and reinforcement learning principles to create efficient machine...

structured prediction

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supervised machine learning techniques

sequence-to-sequence learning

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family of machine learning approaches

active learning

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machine learning strategy in which a learning algorithm interactively queries for new labels

machine learning in physics

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applications of machine learning to quantum physics

meta-learning

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subfield of machine learning where automatic learning algorithms are applied to metadata about machi...

robot learning

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machine learning for robots

rule-based machine learning

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machine learning methods that try to develop rules that are to be applied in particular contexts

multi-task learning

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form of machine learning where a model learns multiple tasks

Domain Adaptation

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field associated with machine learning and transfer learning

machine learning in video games

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use of machine learning in video games

model-free reinforcement learning

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type of machine learning algorithm

machine learning in bioinformatics

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Software for understanding biological data

Region Based Convolutional Neural Networks

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machine learning model family

predictive learning

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machine learning models which are trained to analyze historical data to find patterns and trends, al...

multiple kernel learning

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machine learning methods that use a predefined set of kernels and learn an optimal linear or non-lin...

preference learning

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Subfield of machine learning

explanation-based learning

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form of machine learning

neural operator

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machine learning framework

geometric feature learning

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technique combining machine learning and computer vision to solve visual tasks

end-to-end reinforcement learning

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paradigm in machine learning where the entire process from input to output is learned through a sing...

offline machine learning

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method of machine learning

Alex Krizhevsky

Person

Canadian machine learning scientist

François Chollet

Person

French machine learning researcher

Isabelle Guyon

Person

French-born researcher in machine learning

Shane Legg

Person

machine learning researcher

Pieter Abbeel

Person

machine learning researcher at UC Berkeley

Pedro Domingos

Person

professor of machine learning

Alex Pappachen James

Person

Indian machine learning researcher

Ashish Vaswani

Person

machine learning researcher

Kristen Grauman

Person

American computer vision and machine learning researcher

Suchi Saria

Person

scientist, machine learning, Johns Hopkins

Serge Belongie

Person

researcher, Cornell University, University of Copenhagen, computer vision, machine learning

Oriol Vinyals

Person

machine learning researcher

Nicholas Carlini

Person

machine learning researcher

Andreas Krause

Person

machine learning researcher at ETH Zurich

Geoffrey J. Gordon

Person

professor at the Machine Learning Department at Carnegie Mellon University in Pittsburgh; director o...

Arthur Zimek

Person

professor for data mining, data science and machine learning

Kathleen Siminyu

Person

Kenyan machine learning researcher

Roberto Cipolla

Person

machine learning engineer

Juha Karhunen

Person

Finnish machine learning researcher

Emilio Ferrara

Person

machine learning researcher

Sébastien Bubeck

Person

researcher in machine learning

reinforcement learning

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type of machine learning where an agent learns how to behave in an environment by performing actions...

unsupervised learning

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machine learning technique

knowledge distillation

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machine learning method to transfer knowledge from a large model to a smaller one

PyTorch

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open source machine learning library for Python, based on Torch

scikit-learn

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machine learning library for the Python programming language

Apache MXNet

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multi-language machine learning library

NovelAI

SoftwareApplication

online cloud-based, SaaS model, paid subscription service for machine learning and image synthesis

Riffusion

SoftwareApplication

music-generating machine learning model

Colaboratory

SoftwareApplication

Colaboratory is a Google research project created to help disseminate machine learning education and...

machine learning

Intangible

scientific study of algorithms and statistical models that computer systems use to perform tasks wit...

artificial neural network

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computational model used in machine learning, based on connected, hierarchical functions

deep learning

Thing

specialized form of machine learning that uses artificial neural networks to identify patterns in da...

pattern recognition

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branch of machine learning

Stable Diffusion

CreativeWork

image-generating machine learning model

self-organizing map

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machine learning technique useful for dimensionality reduction

text-to-image model

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machine learning model

transfer learning

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research problem in machine learning (ML) that focuses on storing knowledge gained while solving one...

adversarial machine learning

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machine learning technique that attempts to prevent models being fooled by supplying deceptive input

Adobe Firefly

CreativeWork

image-generating machine learning model

bootstrap aggregating

Place

ensemble method within machine learning

Whisper

CreativeWork

machine learning model for speech recognition and transcription

zero-shot learning

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problem setup in machine learning, where at test time, a learner observes samples from classes that ...

incremental learning

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method of machine learning

contrastive learning

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a machine learning method

Nervana Systems

Organization

Artificial Intelligence company, next generation platform for machine learning

imitation learning

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machine learning technique where agents learn from demonstrations