https://jmlr.org/papers/v24/21-1501.html
The Power of Contrast for Feature Learning: A Theoretical Analysis
the power offeature learningcontrasttheoreticalanalysis
https://www.datacamp.com/hi/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://www.semanticscholar.org/topic/Feature-learning/20551
Feature learning | Semantic Scholar
In machine learning, feature learning or representation learning is a set of techniques that learn a feature: a transformation of raw data input to a...
feature learningsemanticscholar
https://openreview.net/forum?id=J7dZuX0DGI
Exact and Rich Feature Learning Dynamics of Two-Layer Linear Networks | OpenReview
Deep neural networks exhibit rich training dynamics under gradient descent updates. The root of this phenomenon is the non-convex optimization of deep neural...
feature learning
https://openreview.net/forum?id=17pVDnpwwl
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks | OpenReview
Empirical studies have consistently demonstrated that increasing the size of neural networks often yields superior performance in practical applications....
feature learningneural networkstensorprogramsvi
https://www.datacamp.com/sv/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://www.mdpi.com/1424-8220/23/17/7628
Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification
In the realm of hyperspectral image classification, the pursuit of heightened accuracy and comprehensive feature extraction has led to the formulation of an...
feature learningunified modelhyperspectral imagemultiscale
https://www.datacamp.com/nl/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://www.mdpi.com/2072-4292/11/3/281
A Discriminative Feature Learning Approach for Remote Sensing Image Retrieval
Effective feature representations play a decisive role in content-based remote sensing image retrieval (CBRSIR). Recently, learning-based features have been...
remote sensing imagefeature learningapproachretrieval
https://www.datacamp.com/zh/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://openreview.net/forum?id=bIrojRTFlm
Towards Understanding Feature Learning in Out-of-Distribution Generalization | OpenReview
A common explanation for the failure of out-of-distribution (OOD) generalization is that the model trained with empirical risk minimization (ERM) learns...
towards understandingfeature learningout ofdistributiongeneralization
https://openreview.net/forum?id=8on9dIUh5v
Provable Benefit of Cutout and CutMix for Feature Learning | OpenReview
Patch-level data augmentation techniques such as Cutout and CutMix have demonstrated significant efficacy in enhancing the performance of vision tasks....
benefit offeature learningprovablecutoutopenreview
https://openreview.net/forum?id=Dttmp0TPVY
Tensor Network Based Feature Learning Model | OpenReview
Many approximations were suggested to circumvent the cubic complexity of kernel-based algorithms, allowing their application to large-scale datasets. One...
tensor networkfeature learningbasedmodelopenreview
https://www.easychair.org/publications/paper/b1jb
Separated Feature Learning for Music Composition Using Memory-Based NNs
feature learningfor musicseparatedcompositionusing
https://www.datacamp.com/it/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://www.datacamp.com/ru/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://openreview.net/forum?id=TYPBYgWyw8
Exploring the Limits of Feature Learning in Continual Learning | OpenReview
Despite the recent breakthroughs in deep learning, neural networks still struggle to learn continually in non-stationary environments, and the reasons are...
the limitsfeature learningexploringcontinualopenreview
https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2018.00024/full
Frontiers | Unsupervised Feature Learning With Winner-Takes-All Based STDP
We present a novel strategy for unsupervised feature learning in image applications inspired by the Spike-Timing-Dependent-Plasticity biological learning rul...
unsupervised feature learningwinner takes allfrontiersbasedstdp
https://www.datacamp.com/tr/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://jmlr.org/papers/v26/24-1178.html
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
feature learningneural networksenhancedviaregularisation
https://aclanthology.org/P14-2061/
Unsupervised Feature Learning for Visual Sign Language Identification - ACL Anthology
Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, Tom Heskes. Proceedings of the 52nd Annual Meeting of the Association for...
unsupervised feature learningsign languagevisualidentificationacl
https://www.datacamp.com/ko/blog/what-is-feature-learning
What is Feature Learning? | DataCamp
Learn about feature learning, an automatic process that helps machine learning models identify and optimize patterns from raw data to enhance performance.
what isfeature learningdatacamp
https://openreview.net/forum?id=dEypApI1MZ
How Feature Learning Can Improve Neural Scaling Laws | OpenReview
We develop a simple solvable model of neural scaling laws beyond the kernel limit. Theoretical analysis of this model predicts the performance scaling...
neural scaling lawsfeature learningimproveopenreview
https://openreview.net/forum?id=9pwlOZneBh&referrer=%5Bthe%20profile%20of%20Surbhi%20Goel%5D(%2Fprofile%3Fid%3D~Surbhi_Goel1)
Progressive distillation improves feature learning via implicit curriculum | OpenReview
Knowledge distillation, where a student model learns from a teacher model, is a widely-adopted approach to improve the training of small models. A known...
feature learningimplicit curriculumprogressivedistillationimproves
https://openreview.net/forum?id=r1ew74mluN
Invariant Feature Learning by Attribute Perception Matching | OpenReview
This paper proposes a new approach to incorporating desired invariance to representations learning, based on the observations that the current state-of-the-art...
feature learningby attributeinvariantperceptionmatching
https://jmlr.org/papers/v25/23-1202.html
Neural Feature Learning in Function Space
feature learningneuralfunctionspace
https://openreview.net/forum?id=BJtNZAFgg
Adversarial Feature Learning | OpenReview
The ability of the Generative Adversarial Networks (GANs) framework to learn generative models mapping from simple latent distributions to arbitrarily complex...
feature learningadversarialopenreview
https://openreview.net/forum?id=tj86aGVNb3
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond |...
feature learningmean fieldlangevin dynamics
https://openreview.net/forum?id=I9dkBah6Z9
On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination | OpenReview
Feature learning is a crucial element for the performance of machine learning models. Recently, the exploration of feature learning in the context of kernel...
feature learningrecursive
https://openreview.net/forum?id=PY9GJihfl7
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers |...
In-context learning (ICL) is a cornerstone of large language model functionality, yet its theoretical foundations remain elusive due to the complexity of...
feature learningunveilinginductionheadsprovable
https://openreview.net/forum?id=bQ9P1Z4wJW
Understanding Scaling Laws via Neural Feature Learning Dynamics | OpenReview
Recently, deep neural networks have revolutionized various domains, primarily due to their ability to consistently improve performance when scaling up...
scaling lawsfeature learningunderstandingvianeural
https://feast.dev/
Feast - The Open Source Feature Store for Machine Learning
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
the openfeature storefeastsourcemachine
https://openreview.net/forum?id=rkgMkCEtPB
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML | OpenReview
The success of MAML relies on feature reuse from the meta-initialization, which also yields a natural simplification of the algorithm, with the inner loop...
rapid learningtowards understanding
https://deepai.org/publication/fedcp-separating-feature-information-for-personalized-federated-learning-via-conditional-policy
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy |...
Jul 1, 2023 - 07/01/23 - Recently, personalized federated learning (pFL) has attracted increasing attention in privacy protection, collaborative learning, ...
information forfederated learningseparatingfeature
https://openreview.net/forum?id=6SRDbbvU8s
Learning Multimodal Data Augmentation in Feature Space | OpenReview
The ability to jointly learn from multiple modalities, such as text, audio, and visual data, is a defining feature of intelligent systems. While there have...
multimodal datafeature spacelearningaugmentationopenreview
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/soft-hard-stop-due-dates/page/6
Learning Management Systems with Soft/Hard Stop Due Dates feature - eLearning Industry 2026
Find choose and compare the Top Learning Management Systems with Soft/Hard Stop Due Dates feature. Narrow down your choices with eLearning Industry's software...
learning management systems
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/ip-blocker/page/5
Learning Management Systems with IP Blocker feature - eLearning Industry 2026
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https://www.autodesk.com/blogs/water/2023/11/13/autodesk-infodrainage-machine-learning-deluge-tool/?redirected=1
Autodesk InfoDrainage integrates AI drainage design feature with Machine Learning Deluge tool - One...
Feb 2, 2026 - Explore the future of infrastructure with AI drainage design that meets modern challenges of climate change and urban development.
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/authentication/page/8
Learning Management Systems with Authentication feature - eLearning Industry 2026
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https://openreview.net/forum?id=L8iWCxzwl1
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning | OpenReview
We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a...
feature selectionfederated learninglessvflcommunication
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/authentication/page/68
Learning Management Systems with Authentication feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/training-record-maintenance/page/34
Learning Management Systems with Training Record Maintenance feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/bulk-actions/page/64
Learning Management Systems with Bulk User Actions feature - eLearning Industry 2026
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learning management systemsbulk
https://www.datacamp.com/nl/tutorial/feature-extraction-machine-learning
Feature Extraction in Machine Learning: A Complete Guide | DataCamp
Master feature extraction techniques with hands-on Python examples for image, audio, and time series data.
feature extractionmachine learningcomplete guidedatacamp
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/gradebook-audit-trail/page/23
Learning Management Systems with Gradebook audit trail feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/location-settings/page/32
Learning Management Systems with Location Settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/certificate-expiration-notifications/page/36
Learning Management Systems with Certificate expiration notifications feature - eLearning Industry...
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learning management systemscertificateexpirationnotificationsfeature
https://openreview.net/forum?id=UwvjJZWjPT
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse |...
Neural networks are often trained on multiple tasks, either simultaneously (multi-task learning, MTL) or sequentially (pretraining and subsequent finetuning,...
multi task learning
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/training-record-maintenance/page/36
Learning Management Systems with Training Record Maintenance feature - eLearning Industry 2026
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learning management systemstraining record
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/training-record-maintenance
Learning Management Systems with Training Record Maintenance feature - eLearning Industry 2026
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https://arxiv.org/abs/2102.10878
[2102.10878] Stability theory of game-theoretic group feature explanations for machine learning...
Abstract page for arXiv paper 2102.10878: Stability theory of game-theoretic group feature explanations for machine learning models
https://www.datacamp.com/th/tutorial/feature-extraction-machine-learning
Feature Extraction in Machine Learning: A Complete Guide | DataCamp
Master feature extraction techniques with hands-on Python examples for image, audio, and time series data.
feature extractionmachine learningcomplete guidedatacamp
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/certificate-expiration-notifications/page/7
Learning Management Systems with Certificate expiration notifications feature - eLearning Industry...
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learning management systemscertificateexpirationnotificationsfeature
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/points-support/page/32
Learning Management Systems with Points feature - eLearning Industry 2026
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https://openreview.net/forum?id=D_eGVt5dWwa&referrer=%5Bthe%20profile%20of%20Jun%20Huang%5D(%2Fprofile%3Fid%3D~Jun_Huang5)
Multi-Label Learning via Feature and Label Space Dimension Reduction | OpenReview
In multi-label learning, each object belongs to multiple class labels simultaneously. In the data explosion age, the size of data is often huge, i.e., large...
multi labelspace dimensionlearningviafeature
https://arxiv.org/abs/2011.06037v1
[2011.06037v1] Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Abstract page for arXiv paper 2011.06037v1: Unsupervised Video Representation Learning by Bidirectional Feature Prediction
representation learning2011unsupervisedvideobidirectional
https://www.preprints.org/manuscript/202507.0414
DLGB-Olive: Using Deep Learning-Based Feature Extraction Followed by Gradient Boosting...
Olive production holds a significant position in global agricultural trade. In addition to being influenced by seasonal climatic conditions, agricultural...
deep learning
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/progress-tracking/page/37
Learning Management Systems with Progress Tracking feature - eLearning Industry 2026
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learning management systemsprogress trackingfeatureelearningindustry
https://openreview.net/forum?id=IjsRjvmFJp7
Non-Robust Feature Mapping in Deep Reinforcement Learning | OpenReview
Adversarial perturbations to state observations can dramatically degrade the performance of deep reinforcement learning policies, and thus raise concerns...
deep reinforcement learningnonrobustfeaturemapping
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/location-settings/page/33
Learning Management Systems with Location Settings feature - eLearning Industry 2026
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https://openreview.net/forum?id=-oUhJJILWHb
Learning Debiased Representation via Disentangled Feature Augmentation | OpenReview
This paper proposes a novel feature-level data augmentation for debiasing via learning disentangled representation.
learningrepresentationviadisentangledfeature
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/due-date-notifications/page/44
Learning Management Systems with Due Date notifications feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/levels/page/5
Learning Management Systems with Levels feature - eLearning Industry 2026
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learning management systemslevelsfeatureelearningindustry
https://arxiv.org/abs/2506.11098
[2506.11098] Debiasing Online Preference Learning via Preference Feature Preservation
Abstract page for arXiv paper 2506.11098: Debiasing Online Preference Learning via Preference Feature Preservation
preference learning250611098debiasingonline
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/language-settings/page/7
Learning Management Systems with Language settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/strong-passwords/page/54
Learning Management Systems with Strong Passwords feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/points-support/page/5
Learning Management Systems with Points feature - eLearning Industry 2026
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https://deepai.org/publication/learning-feature-relevance-through-step-size-adaptation-in-temporal-difference-learning
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning | DeepAI
Mar 8, 2019 - 03/08/19 - There is a long history of using meta learning as representation learning, specifically for determining the relevance of inputs. I...
step sizetemporal differencelearningfeaturerelevance
https://elearningindustry.com/directory/software-categories/learning-management-systems/features/location-settings/page/20
Learning Management Systems with Location Settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/manual-grading/page/42
Learning Management Systems with Manual Grading feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/ip-blocker/page/8
Learning Management Systems with IP Blocker feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/built-in/page/24
Learning Management Systems with Built-In Shopping Cart feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/grading-report-settings/page/11
Learning Management Systems with Grading Report Settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/grading-report-settings/page/36
Learning Management Systems with Grading Report Settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/backup-options/page/28
Learning Management Systems with Course backup Options feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/default-settings/page/43
Learning Management Systems with Changing Course default settings feature - eLearning Industry 2026
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https://elearningindustry.com/directory/software-categories/learning-management-systems/features/backup-options/page/10
Learning Management Systems with Course backup Options feature - eLearning Industry 2026
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