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...

ensemble learning

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

text-to-video model

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machine learning model

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...

quantum machine learning

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

feature learning

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

boosting

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

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

deep reinforcement learning

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

vision transformer

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machine learning algorithm for vision processing

active learning

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

sequence-to-sequence learning

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family of machine learning approaches

structured prediction

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supervised machine learning techniques

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

multi-task learning

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form of machine learning where a model learns multiple tasks

rule-based machine learning

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

Domain Adaptation

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field associated with machine learning and transfer learning

model-free reinforcement learning

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type of machine learning algorithm

machine learning in video games

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use of machine learning in video games

predictive learning

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

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

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

geometric feature learning

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technique combining machine learning and computer vision to solve visual tasks

offline machine learning

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method of machine learning

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...

neural operator

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machine learning framework

Alex Krizhevsky

Person

Canadian machine learning scientist

François Chollet

Person

French machine learning researcher

Isabelle Guyon

Person

French-born researcher in machine learning

Pieter Abbeel

Person

machine learning researcher at UC Berkeley

Shane Legg

Person

machine learning researcher

Pedro Domingos

Person

professor of machine learning

Kristen Grauman

Person

American computer vision and machine learning researcher

Alex Pappachen James

Person

Indian machine learning researcher

Suchi Saria

Person

scientist, machine learning, Johns Hopkins

Ashish Vaswani

Person

machine learning researcher

Serge Belongie

Person

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

Roberto Cipolla

Person

machine learning engineer

Geoffrey J. Gordon

Person

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

Andreas Krause

Person

machine learning researcher at ETH Zurich

Kathleen Siminyu

Person

Kenyan machine learning researcher

Nicholas Carlini

Person

machine learning researcher

Oriol Vinyals

Person

machine learning researcher

Arthur Zimek

Person

professor for data mining, data science and machine learning

Jennifer Wortman Vaughan

Person

machine learning researcher

Alexander J. Smola

Person

machine learning scientist

Francis Bach

Person

French machine learning researcher, Ecole Normale Supérieure

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

Place

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

Place

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

class

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

imitation learning

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machine learning technique where agents learn from demonstrations

Nervana Systems

Organization

Artificial Intelligence company, next generation platform for machine learning