Machine learning

self-supervised learning

Class

class of machine learning techniques in which a task is solved based on pseudo-labels which help initialize weights the weight, then the actual task is performed with supervised or unsupervised learning

ensemble learning

Class

in machine learning, the use of multiple algorithms to obtain better predictive performance than from any of the constituent learning algorithms alone

boosting

Class

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

text-to-video model

Class

machine learning model

feature learning

Class

a set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks

online machine learning

Class

a method where a model is trained incrementally on data as it becomes available, in contrast to batch learning where the entire dataset is used at once

quantum machine learning

Class

Quantum Machine Learning combines quantum computing and ML to enhance algorithms, leveraging unique quantum properties, like superposition and entanglement , for efficient problem-solving.

multimodal learning

Class

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

artificial immune system

Class

Class of rule-based machine learning systems

sequence-to-sequence learning

Class

family of machine learning approaches

active learning

Class

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

automated machine learning

Class

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

vision transformer

Class

machine learning algorithm for vision processing

deep reinforcement learning

Class

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

structured prediction

Class

supervised machine learning techniques

machine learning in physics

Class

applications of machine learning to quantum physics

meta-learning

Class

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

rule-based machine learning

Class

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

robot learning

Class

machine learning for robots

multi-task learning

Class

form of machine learning where a model learns multiple tasks

Domain Adaptation

Class

field associated with machine learning and transfer learning

machine learning in video games

Class

use of machine learning in video games

model-free reinforcement learning

Class

type of machine learning algorithm

predictive learning

Class

machine learning models which are trained to analyze historical data to find patterns and trends, allowing it to predict future outcomes

Region Based Convolutional Neural Networks

Class

machine learning model family

machine learning in bioinformatics

Class

Software for understanding biological data

preference learning

Class

Subfield of machine learning

multiple kernel learning

Class

machine learning methods that use a predefined set of kernels and learn an optimal linear or non-linear combination of kernels as part of the algorithm

end-to-end reinforcement learning

Class

paradigm in machine learning where the entire process from input to output is learned through a single, integrated neural network or a series of interconnected models, in contrast to having independent subsystems

geometric feature learning

Class

technique combining machine learning and computer vision to solve visual tasks

offline machine learning

Class

method of machine learning

explanation-based learning

Class

form of machine learning

neural operator

Class

machine learning framework

Alex Krizhevsky

Person

Canadian machine learning scientist

François Chollet

Person

French machine learning researcher

Shane Legg

Person

machine learning researcher

Isabelle Guyon

Person

French-born researcher in machine learning

Ashish Vaswani

Person

machine learning researcher

Pedro Domingos

Person

professor of machine learning

Pieter Abbeel

Person

machine learning researcher at UC Berkeley

Oriol Vinyals

Person

machine learning researcher

Alec Radford

Person

American machine learning researcher/developer

Kristen Grauman

Person

American computer vision and machine learning researcher

Nicholas Carlini

Person

machine learning researcher

Alex Pappachen James

Person

Indian machine learning researcher

Suchi Saria

Person

scientist, machine learning, Johns Hopkins

Kathleen Siminyu

Person

Kenyan machine learning researcher

Arthur Zimek

Person

professor for data mining, data science and machine learning

Jennifer Wortman Vaughan

Person

machine learning researcher

Geoffrey J. Gordon

Person

professor at the Machine Learning Department at Carnegie Mellon University in Pittsburgh; director of research at the Microsoft Montréal lab

Andreas Krause

Person

machine learning researcher at ETH Zurich

Serge Belongie

Person

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

Douwe Kiela

Person

machine learning researcher at Facebook

Frank Hutter

Person

machine learning researcher

reinforcement learning

Class

type of machine learning where an agent learns how to behave in an environment by performing actions and receiving rewards or penalties in return, aiming to maximize the cumulative reward over time

unsupervised learning

Class

machine learning technique

knowledge distillation

Class

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

Place

machine learning library for the Python programming language

Apache MXNet

Place

multi-language machine learning library

NovelAI

Software Application

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

Riffusion

Software Application

music-generating machine learning model

Colaboratory

Software Application

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

machine learning

Intangible

scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions

artificial neural network

Thing

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 data

pattern recognition

Class

branch of machine learning

Stable Diffusion

Creative Work

image-generating machine learning model

self-organizing map

Class

machine learning technique useful for dimensionality reduction

text-to-image model

Class

machine learning model

transfer learning

Class

research problem in machine learning (ML) that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem

Adobe Firefly

Creative Work

image-generating machine learning model

adversarial machine learning

Class

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

bootstrap aggregating

Intangible

ensemble method within machine learning

Whisper

Creative Work

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 were not observed during training, and needs to predict the class they belong to

incremental learning

Class

method of machine learning

contrastive learning

Class

a machine learning method

imitation learning

Class

machine learning technique where agents learn from demonstrations

Nervana Systems

Organization

Artificial Intelligence company, next generation platform for machine learning