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Machine learning technique
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related
Transfer_learning
Educational psychology concept
Transfer of learning occurs when people apply information, strategies, and skills they have learned to a new situation or context. Transfer is not a discrete
Transfer_of_learning
Process of acquiring new knowledge
in the Science of Learning with additional material from the Committee on Learning Research (2000). Chapter 3. Learning and Transfer. How People Learn:
Learning
Algorithm for modelling sequential data
(2020). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". Journal of Machine Learning Research. 21 (140): 1–67. Archived
Transformer_(deep_learning)
Evaluating outside-classroom knowledge
competence against a given set of standards or learning outcomes. RPL is sometimes confused with credit transfer, assessments conducted to recognize advanced
Recognition_of_prior_learning
Field of machine learning
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and
Reinforcement_learning
Field associated with machine learning and transfer learning
Domain adaptation is a field associated with machine learning and transfer learning. It addresses the challenge of training a model on one data distribution
Domain_adaptation
Engineering applied to artificial intelligence
transfer learning can be applied to adapt pre-trained models for specific tasks, reducing the time and resources needed for training. Deep learning is
Artificial intelligence engineering
Artificial_intelligence_engineering
Machine learning library created by Google
for tasks such as computer vision, natural language processing, and transfer learning. TensorFlow Hub provides a central platform where developers and researchers
TensorFlow_Hub
In psychology, when old knowledge interferes with new knowledge
In behavioral psychology, negative transfer is the interference of the previous knowledge with new learning, where one set of events could hurt performance
Negative_transfer_(memory)
Solving multiple machine learning tasks at the same time
Caruana gave the following characterization: Multitask Learning is an approach to inductive transfer that improves generalization by using the domain information
Multi-task_learning
Machine learning methods using multiple input modalities
with LSTMs on a variety of logical and visual tasks, demonstrating transfer learning. The LLaVA was a vision-language model composed of a language model
Multimodal_learning
Machine learning technique
specific, task (the downstream task). It is considered a form of transfer learning, as it reuses knowledge learned from the original training objective
Fine-tuning_(deep_learning)
French artificial intelligence company
(Machine Learning Ledger Orchestration for Drug Discovery). The first results of the project were published in July 2022. Transfer learning is a machine
Owkin
Machine learning paradigm
Semi-supervised learning combines supervised and unsupervised learning, requiring only a small portion of the learning data be labeled. In transfer learning, a model
Self-supervised_learning
Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn
Machine_learning
Problem setup in machine learning
computational biology abstract reasoning Few-shot learning Transfer learning Fast mapping Explanation-based learning Xian, Yongqin; Lampert, Christoph H.; Schiele
Zero-shot_learning
Statistics and machine learning technique
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from
Ensemble_learning
Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
Sharing knowledge for problem solving
during the "information age", a family of terms – knowledge transfer, learning, transfer of learning, and knowledge sharing – are often used interchangeably
Knowledge_transfer
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
Neural network (machine learning)
Neural_network_(machine_learning)
Theory that describes how students receive, process, and retain knowledge during learning
generalization in learning. Routledge. Harris, S., Lowery-Moore, H., & Farrow, V. (2008). Extending Transfer of Learning Theory to Transformative Learning Theory:
Learning_theory_(education)
Process of automating the application of machine learning
Meta-learning and transfer learning Detection and handling of skewed data and/or missing values Model selection - choosing which machine learning algorithm
Automated_machine_learning
and Ante Fulgosi (1976) "The influence of pattern similarity and transfer learning upon training of a base perceptron" (original in Croatian) Proceedings
Timeline_of_machine_learning
Overview of and topical guide to machine learning
learning theory Statistical relational learning Tanagra Transfer learning Variable-order Markov model Version space learning Waffles Weka Loss function Loss
Outline_of_machine_learning
American computer scientist
Pratt is an American computer scientist known for contributions to transfer learning and for her work in promoting and developing the concept of decision
Lorien_Pratt
Intelligence of machines
"good". Transfer learning is when the knowledge gained from one problem is applied to a new problem. Deep learning is a type of machine learning that runs
Artificial_intelligence
Statistical law in machine learning
multimodal learning, contrastive learning, AI alignment, AI capabilities, robotics, out-of-distribution (OOD) generalization, continual learning, transfer learning
Neural_scaling_law
Artificial intelligence project
2005. To Transfer or Not to Transfer, M. T. Rosenstein, Z. Marx, L. P. Kaelbling, and T. G. Dietterich. NIPS 2005 Workshop on Transfer Learning, Whistler
CALO
Machine learning paradigm using minimal training data
generalized from examples of other classes. Transfer learning Meta-learning (computer science) One-shot learning (computer vision) Wang, Yaqing; Yao, Quanming;
Few-shot_learning
Technique in machine learning
versions, so it can be seen as a form of transfer learning. Some authors also consider curriculum learning to include other forms of progressively increasing
Curriculum_learning
Research area
articles, online debates, newspaper articles and dialogical domains. Transfer learning approaches have been successfully used to combine the different domains
Argument_mining
AI's tendency to abruptly and drastically forget old info after learning new info
Latent learning is a technique used by Gutstein & Stump (2015) to mitigate catastrophic interference by taking advantage of transfer learning. This approach
Catastrophic_interference
Memorization technique based on repetition
alternatives to rote learning include meaningful learning, associative learning, spaced repetition and active learning. Rote learning is widely used in the
Rote_learning
Set of learning techniques in machine learning
In machine learning (ML), feature learning or representation learning is a set of techniques that allow a system to automatically discover the representations
Feature_learning
Artificial production of human speech
presented the work 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis', which transfers learning from speaker verification
Speech_synthesis
Change of statistical properties over time
drift but also reveal the weaknesses of modern learning techniques such as transfer learning. Transfer learning enables defenders to take an existing model
Concept_drift
Topics referred to by the same term
second language Transfer of learning, in education Transfer function in mathematics Transfer (group theory), a type of homomorphism Transfer principle, in
Transfer
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
acquired from doctor/patient interactions. In one study done with transfer learning, an AI diagnosed eye conditions similar to an ophthalmologist and
Applications of artificial intelligence
Applications_of_artificial_intelligence
Direct transfer payment of money to an eligible person
A cash transfer is a direct transfer payment of money to an eligible person. Cash transfers are either unconditional cash transfers or conditional cash
Cash_transfer
(2020). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". Journal of Machine Learning Research. 21 (140): 1–67. arXiv:1910
List_of_large_language_models
Overview of and topical guide to deep learning
Supervised learning Unsupervised learning Self-supervised learning Semi-supervised learning Reinforcement learning Transfer learning Multitask learning Multimodal
Outline_of_deep_learning
Learning through arts experiences
about teaching art, but focused on: how to improve learning through the arts how to transfer learning in and through the arts to other disciplines discovering
Arts_in_education
Influence one language has on the acquisition or intelligibility of another
Brown mentions "all new learning involves transfer based on previous learning". That could also explain why initial learning of L1 will impact L2 acquisition
Language_transfer
Type of feedforward neural network
in-domain data to fine-tune the network weights, this is known as transfer learning. Furthermore, this technique allows convolutional network architectures
Convolutional_neural_network
Academic discipline; examines how goal-driven social entities add and create knowledge
Organizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as
Organizational_learning
American academic writer (1924–2014)
Other books that he has written on training evaluation include Transferring Learning to Behavior and Implementing the Four Levels. His work is carried
Donald_Kirkpatrick
Algorithmically generated data that have a similar distribution as sampled data
used for machine learning applications: a model is trained on a synthetically generated dataset with the intention of transfer learning to real data. Efforts
Synthetic_data
Method of speech synthesis that uses deep neural networks
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech)
Deep learning speech synthesis
Deep_learning_speech_synthesis
Series of language models developed by Google AI
directly fed into this new module, allowing for sample-efficient transfer learning. This section describes the embedding used by BERTBASE. The other
BERT_(language_model)
Providing welfare programs without any conditions upon the receivers' actions
transfers for relief and recovery in Rizal and Laguna in the Philippines, in the aftermath of Typhoon Ketsana. The Electronic Cash Transfer Learning Action
Unconditional_cash_transfer
synthetic intelligence. Timeline of machine translation Timeline of machine learning Timeline of artificial intelligence risks in global finance Please see
Timeline of artificial intelligence
Timeline_of_artificial_intelligence
Type of AI with wide-ranging abilities
descriptions of redirect targets The Future of Work and Death Transfer learning – Machine learning technique Transhumanism – Philosophical movement Universal
Artificial general intelligence
Artificial_general_intelligence
Artificial intelligence model paradigm
built using established machine learning techniques like deep neural networks, transfer learning, and self-supervised learning. Foundation models differ from
Foundation_model
Australian data scientist (born 1973)
developed the ULMFiT algorithm, which is credited with pioneering transfer learning and fine-tuning techniques in natural language processing, and contributing
Jeremy_Howard_(entrepreneur)
Voice conversion software
SSL encoder and content extractor components. This approach allows transfer learning to be applied effectively, enabling the model to converge faster and
Retrieval-based Voice Conversion
Retrieval-based_Voice_Conversion
Decentralized machine learning
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)
Federated_learning
Theory and philosophy of learning
action learning, adventure learning, free-choice learning, cooperative learning, service-learning, and situated learning. Experiential learning is often
Experiential_learning
Machine learning method to transfer knowledge from a large model to a smaller one
In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While
Knowledge_distillation
Computer generation of human images
presented the work 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis', which transfers learning from speaker verification
Human_image_synthesis
American robotics engineer (born 1967)
sold over 250,000 copies combined. Transfer Learning - Lipson and his students pioneered early work on Transfer Learning, culminating with the highly cited
Hod_Lipson
Artificial neural network node function
Vein Recognition by Convolutional Neural Networks: Feature Learning and Transfer Learning Approaches" (PDF). International Journal of Intelligent Engineering
Activation_function
Realistic artificially generated media
Deepfakes (a portmanteau of 'deep learning' and 'fake') are images, videos, or audio that have been edited or generated using artificial intelligence,
Deepfake
machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification. Machine learning is a subdiscipline
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Standard means for comparing academic credits across the European Union
European Credit Transfer and Accumulation System (ECTS) is a standard means for comparing academic credits, i.e., the "volume of learning based on the defined
European Credit Transfer and Accumulation System
European_Credit_Transfer_and_Accumulation_System
Topics referred to by the same term
adaptation Domain adaptation, a field associated with machine learning and transfer learning Behavioral adaptation, an adjustment to another type of behavior
Adaptation_(disambiguation)
Ghanaian-American AI researcher (born 1984)
Azunre is the author of Transfer Learning for Natural Language Processing, a book that explores the applications of transfer learning techniques in NLP. His
Paul_Azunre
Category of learning situation
Informal learning is characterized by a low degree of planning and organizing of the learning context, learning support, learning time, and learning objectives
Informal_learning
Machine learning model for vision processing
attention; log-spaced continuous relative position bias, which allows transfer learning across different window resolutions. The TimeSformer was designed
Vision_transformer
Chinese data scientist
(one out of 786 submissions), 2011. Second Prize of Unsupervised and Transfer Learning Challenge, ICML and IJCNN, 2011. Rutgers University Board of Trustees
Hui_Xiong
Type of machine learning method
Gams, Andrej (2022). Combining Reinforcement Learning and Lazy Learning for Faster Few-Shot Transfer Learning. pp. 285–290. doi:10.1109/Humanoids53995.2022
Lazy_learning
this type include multi-task learning (also called multi-output learning or vector-valued learning), transfer learning, and co-kriging. Multi-label classification
Kernel methods for vector output
Kernel_methods_for_vector_output
Memory effect in educational psychology
Edwina E. Abbott which was followed up by research into the transfer and retrieval of prior learning. In his 1932 book Psychology of Study, C. A. Mace said:
Testing_effect
Hypothesis that knowing is inseparable from doing
Whether learning is bound to context or not depends on both the kind of learning and the way that it is learned. Claim: Knowledge does not transfer between
Situated_cognition
Series of large language models developed by Google AI
(2020). "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer". Journal of Machine Learning Research. 21 (140): 1–67. arXiv:1910
T5_(language_model)
Computer scientist
in Perth. She made fundamental contributions in the areas of fuzzy transfer learning, concept drift, data-driven decision support systems, and recommender
Jie_Lu
Diffusion of policies between political systems
elsewhere have responded. Policy transfer is closely related to policy learning but moves beyond learning to action. Policy transfer is also related to the concept
Policy_transfer
Unintentional learning of complex information
Implicit learning is the learning of complex information in an unintentional manner, without awareness of what has been learned. According to Frensch and
Implicit_learning
Deep learning method
have been used for transfer learning to enforce the alignment of the latent feature space, such as in deep reinforcement learning. This works by feeding
Generative adversarial network
Generative_adversarial_network
Process of learning better perception skills
perceptual tasks such as frequency discrimination; tactile learning on these tasks has been found to transfer from trained to untrained fingers. Practice with Braille
Perceptual_learning
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem
Deep_reinforcement_learning
American biologist (1925–1990)
and animal psychologist. He is most known for his research on learning and memory transfer in planarians conducted in the 1950s and 1960s. McConnell also
James_V._McConnell
Self-directed, iterative learning approach
Agile learning generally refers to the transfer of agile methods of project work, especially Scrum, to learning processes. Likewise, agile learning proceeds
Agile_learning
Practice in education
possibilities. College transfer covers the exploratory effort, self-assessment and enrollment steps students take considering their prior learning credentials —
College_transfer
Aspect of learning procedure
emotional response Pavlovian-instrumental transfer Placebo (origins of technical term) Poison shyness Preparedness (learning) Proboscis extension reflex Psychological
Classical_conditioning
Use of speech recognition to verify pronunciation
being developed in 2024 include articulatory feature extraction and transfer learning to suppress unnecessary corrections. Other interesting advances under
Pronunciation_assessment
Recognition Features in Intrinsically Disordered Regions of Proteins by Transfer Learning". Bioinformatics. 36 (4): 1107–1113. doi:10.1093/bioinformatics/btz691
Molecular_recognition_feature
Filipino physicist and former child prodigy
S. (2021). Augmenting semantic lexicons using word embeddings and transfer learning. ArXiv:2109.09010 [Physics]. http://arxiv.org/abs/2109.09010 Dodds
Mikaela_Fudolig
Process of granting credit to transfer students
on Admission and Transfer (NSCAT), Ontario Council on Articulation and Transfer (ONCAT) and Saskatchewan Transfer Credit and Learning Pathways Council
Transfer_credit
Artificial neural network algorithm
machine learning: supervised learning, unsupervised learning, and reinforcement learning. A lot of the learning methods in machine learning work similar
Learning_rule
Concept that some difficulty can assist learning
described as a learning level achieved through a sequence of learning tasks and feedback that lead to enhanced learning and transfer. As the name suggests
Desirable_difficulty
Radiologist at the National Institutes of Health
his lab exploring convolutional neural network architectures and transfer learning for lymph node detection and interstitial lung disease classification
Ronald_Summers
AI accelerator ASIC by Google
performing inferences (although it is possible to perform lightweight transfer learning on the Edge TPU). The Edge TPU also only supports 8-bit math, meaning
Tensor_Processing_Unit
theory of transfer of learning that describes the positive, zero, or negative performance outcomes of a training program. The positive transfer of training--
Transfer_of_training
Educational technique
Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different
Active_learning
Hypothetical self-improving program
with issues of meta-learning, also known as "learning to learn." Applications include automating human design decisions and transfer of knowledge between
Gödel_machine
Automatic conversion of spoken language into text
learning applications, transfer learning and domain adaptation are important strategies for reusing and extending the capabilities of deep learning models
Speech_recognition
AI researcher
Reinforcement Learning", a specific hybrid AI architecture that combines symbolic AI with neural networks, and that exhibits a form of transfer learning. In 2017
Murray_Shanahan
Sub-field of emotion recognition
Mihalcea, Rada (Oct 2019). "Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling". arXiv:1910.04980 [cs.CL].
Emotion recognition in conversation
Emotion_recognition_in_conversation
TRANSFER LEARNING
TRANSFER LEARNING
Girl/Female
Tamil
Vidhyavathi | விதà¯à®¯à®¾à®µà®¾à®¤à¯€
Wisdom, Knowledge, Learning, Goddess Durga
Vidhyavathi | விதà¯à®¯à®¾à®µà®¾à®¤à¯€
Girl/Female
Tamil
Goddess of learning, Saraswati
Girl/Female
Tamil
Sarasvati | ஸரஸà¯à®µà®¤à¯€
A Goddess of learning
Sarasvati | ஸரஸà¯à®µà®¤à¯€
Surname or Lastname
English (mainly West Midlands)
English (mainly West Midlands) : occupational name for a peddler or hawker, especially one equipped with a horse and cart, Middle English traunter, traventer (Late Latin travetarius, of uncertain origin, possibly derived from Latin transvehere ‘to convey’).
Boy/Male
Sikh
Battlefields protector
Male
English
English occupational surname transferred to forename use, from a name for a "peddler, hawker," who drove a wagon, derived from the Middle English word traunter, TRANTER means "to convey."
Girl/Female
Tamil
Saraswathy | ஸரஸà¯à®µà®¾à®¤à¯€ Â
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswathy | ஸரஸà¯à®µà®¾à®¤à¯€ Â
Boy/Male
Tamil
Vidyasagar | விதà¯à®¯à®¾à®¸à®¾à®•à®°Â
Ocean of learning
Vidyasagar | விதà¯à®¯à®¾à®¸à®¾à®•à®°Â
Surname or Lastname
English, French, German, Hungarian (Donát), Polish, and Czech (Donát)
English, French, German, Hungarian (Donát), Polish, and Czech (Donát) : from a medieval personal name (Latin Donatus, past participle of donare, frequentative of dare ‘to give’). The name was much favored by early Christians, either because the birth of a child was seen as a gift from God, or else because the child was in turn dedicated to God. The name was borne by various early saints, among them a 6th-century hermit of Sisteron and a 7th-century bishop of Besançon, all of whom contributed to the popularity of the baptismal name in the Middle Ages, which was not checked by the heresy of a 4th-century Carthaginian bishop who also bore it. Another bearer was a 4th-century gramMarian and commentator on Virgil, widely respected in the Middle Ages as a figure of great learning.
Boy/Male
British, Christian, English
Wagoner; To Convey
Boy/Male
African, American, Anglo, Australian, British, Chinese, Christian, English, French
Darling; Form of Daryl; Dear; Transfered Surname; Possibly Originated as a French Place Name; Like Darcy
Boy/Male
Indian, Punjabi, Sikh
The Lion of the Battlefield
Girl/Female
Tamil
Learning
Surname or Lastname
English
English : variant of Selman.North German (Sellmann) : topographic name from Middle Low German sele ‘meadow’, ‘bog’ + man ‘man’.South German : occupational name for a middleman in a land or property sale or for a guardian, from Middle High German sale ‘property transfer’.Jewish (Ashkenazic) : variant of Selman.
Boy/Male
African, American, Anglo, Australian, British, Chinese, English, French
Darling; Form of Daryl; Dear; Transfered Surname; Possibly Originated as a French Place Name; Like Darcy
Girl/Female
Tamil
Saraswathi | ஸரஸà¯à®µà®¾à®¤à¯€Â
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswathi | ஸரஸà¯à®µà®¾à®¤à¯€Â
Girl/Female
Tamil
Vidyasri | விதà¯à®¯à®¾à®¸à®°à¯€
Wisdom, Knowledge, Learning, Goddess Durga
Vidyasri | விதà¯à®¯à®¾à®¸à®°à¯€
Girl/Female
Tamil
Saraswati | ஸரஸà¯à®µà®¤à¯€
Goddess Saraswati, Tamil Goddess for education, Goddess of learning
Saraswati | ஸரஸà¯à®µà®¤à¯€
Girl/Female
Tamil
Goddess of learning, Saraswati
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
TRANSFER LEARNING
TRANSFER LEARNING
Girl/Female
Spanish American Latin
Sweet.
Surname or Lastname
English and Irish
English and Irish : variant of Harrell.
Boy/Male
American, Australian, Chinese, Czech, Czechoslovakian, Danish, French, German, Swiss
Famous Warrior
Boy/Male
Arabic, Muslim
Sweet Person
Boy/Male
Hindu, Indian, Tamil
Silence
Boy/Male
Greek American
a healing.
Boy/Male
Gujarati, Hindu, Indian, Kannada, Marathi, Sanskrit, Tamil, Telugu
Shesha; The King of Serpents; Shesh means King of Serpents and Adri means Hill
Biblical
brightness; departing
Boy/Male
Greek
Guardian of Librans.
Boy/Male
Muslim/Islamic
Immigrant
TRANSFER LEARNING
TRANSFER LEARNING
TRANSFER LEARNING
TRANSFER LEARNING
TRANSFER LEARNING
v. t. & i.
To transmute; to transform; to metamorphose.
v. t.
To pierce through, as with a pointed weapon; to impale; as, to transfix one with a dart.
n.
A drawing or writing printed off from one surface on another, as in ceramics and in many decorative arts.
p. pr. & vb. n.
of Transfer
n.
That which is transferred.
n.
Mutual transfer; exchange.
v. t.
To transfer or transform the nature of.
n.
Thin or transfer paper.
n.
The conveyance of right, title, or property, either real or personal, from one person to another, whether by sale, by gift, or otherwise.
v. t.
To transfer by draft.
n.
A pathological process by virtue of which a unilateral morbid condition on being abolished on one side of the body makes its appearance in the corresponding region upon the other side.
n.
The person to whom a transfer in made.
n.
A picture, or the like, removed from one body or ground to another, as from wood to canvas, or from one piece of canvas to another.
v. t.
To change into another substance; to transmute; as, the alchemists sought to transform lead into gold.
v. t.
To convey from one place or person another; to transport, remove, or cause to pass, to another place or person; as, to transfer the laws of one country to another; to transfer suspicion.
v. t.
To make over the possession or control of; to pass; to convey, as a right, from one person to another; to give; as, the title to land is transferred by deed.
n.
A soldier removed from one troop, or body of troops, and placed in another.
v. t.
To remove from one substance or surface to another; as, to transfer drawings or engravings to a lithographic stone.
n.
The act of transferring, or the state of being transferred; the removal or conveyance of a thing from one place or person to another.
imp. & p. p.
of Transfer