https://cv.nirc.top/2024/c2f-sdf/
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single...
representation learningcoarsefineimplicithand
https://ai.jmir.org/2023/1/e46769/
JMIR AI - Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging:...
Background: Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated electroencephalogram (EEG)...
representation learningjmirselfsupervisedelectroencephalogram
https://pure.ulster.ac.uk/en/publications/radar-representation-learning-across-disease-information-networks/
RADAR: Representation Learning across Disease Information Networks for Similar Disease Detection -...
representation learninginformation networksradaracrossdisease
https://www.lesswrong.com/posts/vzLNnc59LyzqDCyJC/causal-representation-learning-as-a-technique-to-prevent
Causal representation learning as a technique to prevent goal misgeneralization — LessWrong
Summary: This is a submission for the goal misgeneralization contest organized by AI Alignment Awards, as well as the third iteration of some slowly…
representation learningcausaltechniquepreventgoal
https://cipps.org.au/archives/journal_article/leveraging-ancestral-sequence-reconstruction-for-protein-representation-learning
Leveraging Ancestral Sequence Reconstruction for Protein Representation Learning – ARC Centre for...
representation learningleveragingancestralsequencereconstruction
https://profiles.ncat.edu/en/publications/qdrformer-quantum-inspired-density-representation-learning-with-r/
QDRFormer: Quantum-Inspired Density Representation Learning with Random Forest-Guided Transformers...
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https://www.rna-seqblog.com/scdecorr-feature-decorrelation-based-representation-learning-enables-self-supervised-alignment-of-multiple-single-cell-experiments/
scDecorr – feature decorrelation based representation learning enables self-supervised alignment of...
May 4, 2026 - Single-cell RNA sequencing allows scientists to study how individual cells behave, revealing important differences between cells in tissues, tumors, and...
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https://proceedings.neurips.cc/paper_files/paper/2018/file/01eee509ee2f68dc6014898c309e86bf-Reviews.html
Reviews: Adaptive Sampling Towards Fast Graph Representation Learning
graph representation learningadaptive samplingreviewstowardsfast
https://star-former.github.io/
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based...
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
representation learningsemisupervisedtaskinformed
https://researchprofiles.ku.dk/da/publications/carrnn-a-continuous-autoregressive-recurrent-neural-network-for-d-2/
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From...
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https://research.ibm.com/publications/tabsketchfm-sketch-based-tabular-representation-learning-for-data-discovery-over-data-lakes--1
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes for...
TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes for ICDE 2025 by Aamod Khatiwada et al.
representation learningfor datasketchbasedtabular
https://scholars.hkbu.edu.hk/en/publications/vd-gan-a-unified-framework-for-joint-prototype-and-representation-2/
VD-GAN: A Unified Framework for Joint Prototype and Representation Learning from Contaminated...
unified frameworkrepresentation learningganjointprototype
https://scholarcommons.sc.edu/etd/7927/
"Multi-Scale Deep Representation Learning in Synthetic Biology" by Xiaoyi Liu
Synthetic biology advances and combines the expertise of engineers and biologists, bridging the gap between engineering and natural life. Synthetic biology has...
representation learningsynthetic biologymultiscaledeep
https://par.nsf.gov/biblio/10650414-contrastive-time-series-representation-learning-multiplexed-neurochemical-concentration-prediction
Contrastive Time-Series Representation Learning for Multiplexed Neurochemical Concentration...
This page contains metadata information for the record with PAR ID 10650414
time seriesrepresentation learningcontrastivemultiplexedneurochemical
https://freecomputerbooks.com/Representation-Learning-for-Natural-Language-Processing.html
Representation Learning for Natural Language Processing - Free Computer, Programming, Mathematics,...
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP),...
natural language processingrepresentation learningcomputer programmingfreemathematics
https://publikationen.uni-tuebingen.de/xmlui/handle/10900/149902
Unsupervised Representation Learning for Object-Centric and Neuronal Morphology Modeling
representation learningunsupervisedobjectcentricneuronal
https://list.elra.info/mailman3/hyperkitty/list/corpora@list.elra.info/thread/TLYSCBLR4AMDGAQKEG7TJOMOBURM3B3E/
[Corpora-List][CFP] 2nd Multilingual Representation Learning (MRL) Workshop at EMNLP 2022 - Corpora...
representation learningcorporalistcfpmultilingual
https://subramanya.ai/tags/graph-representation-learning/
Graph Representation Learning | Subramanya N
Posts and books tagged Graph Representation Learning.
graph representation learningsubramanya
https://huggingface.co/papers/2105.11122
Paper page - Heterogeneous Graph Representation Learning with Relation Awareness
Join the discussion on this paper page
graph representation learningpaperheterogeneousrelationawareness
https://silo.wisc.edu/talk/102619/
Multi-view representation learning for speech, language, and beyond – SILO
multi viewrepresentation learningspeechlanguagebeyond
https://ai-search.io/papers/franca-nested-matryoshka-clustering-for-scalable-visual-representation-learning
Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning - AI for Dummies -...
This paper talks about Franca, a new open-source vision foundation model that uses a special clustering technique called nested Matryoshka clustering to learn...
visual representationfrancanestedmatryoshkaclustering
https://research-explorer.ista.ac.at/record/19010
Unifying causal representation learning with the invariance principle
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https://www.amazon.science/publications/federated-representation-learning-for-automatic-speech-recognition
Federated representation learning for automatic speech recognition - Amazon Science
Federated Learning (FL) offers a privacy-preserving approach to model training, allowing edge devices to learn collaboratively without sharing data. Edge...
automatic speech recognitionrepresentation learningamazon sciencefederated
https://liner.com/ko/review/unsupervised-representation-learning-meets-pseudolabel-supervised-selfdistillation-new-approach-to
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New...
이 MICCAI 2021 논문에 대해, 이 리뷰는 비지도 표현 학습과 pseudo-label supervised self-distillation을 사용하여 희귀 질병 분류를 위한 새로운 하이브리드 접근법을 요약합니다.
representation learningunsupervisedmeetspseudolabel
https://blog.captcha.la/research/2026-05-29-effective-biological-representation-learning-by-masking-gene-expression
Effective Biological Representation Learning by Masking Gene Expression | CaptchaLa Blog
May 29, 2026 - This work addresses the challenge of learning effective deep representations from high-dimensional, noisy, and batch-affected RNA sequencing (RNA-seq) gene...
representation learninggene expressioneffectivebiologicalmasking
https://mcml.ai/publications/din25/
MCML - Inductive Representation Learning and Natural Language Question Answering on Temporal...
Details on publication Din25
representation learningnatural languagequestion answeringmcmlinductive
https://ieee-iotj.org/special-issues/graph_representation_learning/
Graph_Representation_Learning - IEEE Internet of Things Journal
graph representation learninginternet of thingsieeejournal
https://vislang.ai/publications/shrivastava2023clip
CLIP-Lite: Information Efficient Visual Representation Learning from Textual Annotations - VisLang...
We propose CLIP-Lite, an information efficient method for visual representation learning by feature alignment with textual annotations. Compared to the...
visual representationclipliteinformationefficient
https://scholars.hkmu.edu.hk/en/publications/a-new-semi-supervised-fuzzy-clustering-method-based-on-latent-rep/
A new semi-supervised fuzzy clustering method based on latent representation learning and...
a newfuzzy clusteringbased onrepresentation learningsemi
https://huggingface.co/papers/2403.10897
Paper page - Rethinking Multi-view Representation Learning via Distilled Disentangling
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multi viewrepresentation learningpaperrethinkingvia
https://www.ijcai.org/proceedings/2023/449
Multi-View Robust Graph Representation Learning for Graph Classification | IJCAI
Electronic proceedings of IJCAI 2023
graph representation learningmulti viewrobustclassificationijcai
https://pureportal.coventry.ac.uk/en/publications/adacare-explainable-clinical-health-status-representation-learnin/
AdaCare: Explainable clinical health status representation learning via scale-adaptive feature...
health statusrepresentation learningexplainableclinicalvia
https://prismix.dev/news/7acf61ad4388
Multi-granularity Adaptive Hypergraph Representation Learning via Granular-ball
arXiv:2609.05574v1 Announce Type: new Abstract: Hypergraph representation learning aims to capture high-order information in graphs by constructing hyperedges...
representation learningmultigranularityadaptivehypergraph
https://par.nsf.gov/biblio/10436521
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning | NSF Public...
This page contains metadata information for the record with PAR ID 10436521
human skeletonrepresentation learninghierarchicallyselfsupervised
https://proceedings.iclr.cc/paper_files/paper/2024/hash/05cf28e3d3c9a179d789c55270fe6f72-Abstract-Conference.html
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
representation learningsparse matricesfastupdatingtruncated
https://www.emergentmind.com/papers/2112.04014
Unsupervised Representation Learning via Neural Activation Coding
We present neural activation coding (NAC) as a novel approach for learning deep representations from unlabeled data for downstream applications. We argue that...
representation learningunsupervisedvianeuralactivation
https://archive.org/details/arxiv-1701.03102
Linear Disentangled Representation Learning for Facial Actions : Xiang Xiang : Free Download,...
Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn...
representation learningfree downloadlineardisentangledfacial
https://radiancefields.com/papers/scene-agnostic-object-centric-representation-learning-for-3d-gaussian-splatting
Scene-Agnostic Object-Centric Representation Learning for 3D Gaussian Splatting
Daily independent coverage of Gaussian Splatting and neural radiance fields. Tool releases, comparisons, research breakdowns, and pop culture use cases.
representation learninggaussian splattingsceneagnosticobject
https://dsplab.feri.um.si/glossary/representation-learning/
representation learning – DSPLAB
representation learning
https://www.citedrive.com/en/discovery/surel-moving-from-walks-to-sets-for-scalable-subgraph-based-graph-representation-learning/
[PDF] SUREL+: Moving from Walks to Sets for Scalable Subgraph-Based Graph Representation Learning |...
Subgraph-based graph representation learning (SGRL) has recently emerged as a powerful tool in many prediction tasks on graphs due to its advantages in model...
graph representation learningpdfsurelmovingwalks
https://dspace.mit.edu/entities/publication/51998bad-3042-4cde-9a33-070db3d5156e
Biologically Interpretable Representation Learning for Mechanistic Insights into Cancer...
Resistance to immune checkpoint inhibitors (ICIs) remains a critical barrier to effective cancer therapy, driven by complex, multi-scale interactions that...
representation learningbiologicallyinterpretablemechanisticinsights
https://liner.com/ko/review/subgdiff-a-subgraph-diffusion-model-to-improve-molecular-representation-learning
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning [논문 퀵 리뷰]
이 NeurIPS 2024 논문과 관련하여, 이 리뷰는 분자 서브그래프 정보를 통합하여 표현 학습을 강화하는 새로운 diffusion model인 SubGDiff를 요약합니다.
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https://ostadabbas.github.io/unitrack.github.io/
UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
graph representation learningobject trackingdifferentiablemulti
https://www.oulu.fi/en/theses/lbp-inspired-efficient-deep-convolutional-neural-networks-for-visual-representation-learning
LBP Inspired Efficient Deep Convolutional Neural Networks for Visual Representation Learning |...
convolutional neural networksvisual representationlbpinspiredefficient
https://preprints.jmir.org/preprint/46769
JMIR Preprints #46769: Self-supervised Electroencephalogram Representation Learning for Automatic...
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet
representation learningjmirpreprintsselfsupervised
https://ai.jmir.org/2023/1/e46769/authors
JMIR AI - Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging:...
Background: Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated electroencephalogram (EEG)...
representation learningjmirselfsupervisedelectroencephalogram
https://kew.iro.bl.uk/entities/publication/b0423615-a8a9-47f6-943e-31da9f8d6c23
Harnessing Large-Scale Herbarium Image Datasets Through Representation Learning.
The mobilization of large-scale datasets of specimen images and metadata through herbarium digitization provide a rich environment for the application and...
large scalerepresentation learningharnessingherbariumimage
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https://etd.library.emory.edu/concern/etds/k930bz47x
ETD | Interpretable and Interactive Representation Learning on Geometric Data | ID: k930bz47x |...
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https://dare.uva.nl/id/1fe3575f-70e9-4571-ae5d-9a05c2ccf032
UvA DARE | Multimodal representation learning for fine art analysis
representation learningfine artuvadaremultimodal
https://www.alignmentforum.org/posts/vzLNnc59LyzqDCyJC/causal-representation-learning-as-a-technique-to-prevent
Causal representation learning as a technique to prevent goal misgeneralization — AI Alignment Forum
Summary: This is a submission for the goal misgeneralization contest organized by AI Alignment Awards, as well as the third iteration of some slowly…
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https://pure.korea.ac.kr/en/publications/joint-neuroimage-synthesis-and-representation-learning-for-conver/fingerprints/
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective...
representation learningjointneuroimagesynthesisconversion
https://research.google/pubs/novel-representation-learning-improves-personalizing-blood-test-ranges-and-disease-risk-prediction/
Novel Representation Learning Improves Personalizing Blood Test Ranges and Disease Risk Prediction
disease risk predictionrepresentation learningblood testnovelimproves
https://mavmatrix.uta.edu/industrialmanusys_dissertations/245/
"Representation Learning of Point Cloud Data for Process Mining and An" by Yujing Yang
Complex systems, e.g., advanced manufacturing systems, are largely associated with dynamic and transient behaviors, resulting in condition changes and...
point cloud datarepresentation learningprocess miningyujingyang
https://web.stanford.edu/class/cs331b/2016/projects.html
CS331B: Representation Learning in Computer Vision
representation learningcomputer vision
https://adk.wang/wiki/representation-learning
表示学习 (Representation Learning) - 技术百科与专著引证 - ADK.wang
表示学习是一种通过数据驱动自动提取输入特征的高阶机器学习范式,旨在构建对观测样本X的有效内部表征,是连接原始...
representation learningadkwang
https://www.mitacs.ca/our-projects/multimodal-representation-learning-for-healthcare-data/
Multimodal Representation Learning for Healthcare Data - Mitacs
The abundance of electronic health record (EHR) data has accelerated the adoption of data-driven methods to automate various tasks ranging from patient care to...
representation learningfor healthcaremultimodaldatamitacs
https://arxiv.org/abs/1912.02315
[1912.02315] 12-in-1: Multi-Task Vision and Language Representation Learning
Abstract page for arXiv paper 1912.02315: 12-in-1: Multi-Task Vision and Language Representation Learning
representation learningmultitaskvisionlanguage
https://elmi.hbku.edu.qa/en/publications/mgcrl-multi-scale-graph-contrastive-representation-learning-for-n/
MGCRL: Multi-Scale Graph Contrastive Representation Learning For Network Intrusion Detection -...
representation learningnetwork intrusionmultiscalegraph
https://researchportal.northumbria.ac.uk/en/publications/efficient-sparse-representation-for-learning-with-high-dimensiona/
Efficient Sparse Representation for Learning With High-Dimensional Data - Northumbria University...
high dimensional datasparse representationnorthumbria universityefficientlearning
https://scholar.xjtu.edu.cn/en/publications/a-fusion-representation-for-face-learning-by-low-rank-constrain-a/
A fusion representation for face learning by low-rank constrain and high-frequency texture...
high frequencyfusionrepresentationfacelearning