Showing 1 - 20 of 31,012

1

Deep-Plant-Disease Dataset Is All You Need for Plant Disease Identification
Chai, Abel, Yu Hao ; Jee, Kelly, Li Zhen ; Lee, Sue, Han ; et al.
ACM MM 2025 - 33. ACM International Conference on Multimedia. :12578-12584

Dublin, Ireland Plant disease identifica... Computer vision Computing methodologies Machine learning Supervised learning
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2

Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs
Mazelet, Sonia ; Flamary, Rémi ; Thirion, Bertrand ; et al.
NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (California), United States

San Diego (California),... Unsupervised Learning Graph neural network Optimal Transport [INFO.INFO-AI]Computer S... Artificial Intelligence...
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3

QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
QUARTZ : Approche abstractive non supervisée par question-réponse pour le résumé de dialogue orienté tâche

Ghebriout, Mohamed, Imed Eddine ; Guibon, Gaël ; Lerner, Ivan ; et al.
EMNLP 2025 : The 2025 Conference on Empirical Methods in Natural Language Processing, Nov 2025, Suzhou, China

Suzhou, China Dialogue summarization Unsupervised learning Task-oriented adaptation Large Language Models (L... Résumé de dialogues
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4

Fair and Privacy-preserving Synthetic Data Generation via Clustering-based Variational Autoencoder and Adversarially Debiased Wasserstein Generative Adversarial Networks with Gradient Penalty
Adouani, Malek ; Dagdia, Zaineb, Chelly ; Données et algorithmes pour une ville intelligente et durable - DAVID (DAVID) ; et al.
ECMLPKDD 2025, Sep 2025, Porto (Portugal), Portugal

Porto (Portugal), Portug... Privacy preservation Bias mitigation Unsupervised learning Generative Adversarial N... Generative Adversarial N...
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5

Diffusion-based Unsupervised Audio-visual Speech Enhancement
Ayilo, Jean-Eudes ; Sadeghi, Mostafa ; Serizel, Romain ; et al.
ICASSP 2025 - International Conference on Acoustics Speech and Signal Processing. :1-5

Hyderabad, India unsupervised learning audio-visual speech enha... diffusion models posterior sampling [INFO.INFO-AI]Computer S...
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6

Spatial Gaussian Mixture Model for Geological Predictive Mapping
Rakotonirina, Herbert ; Lohier, Théophile ; Baptiste, Julien ; et al.

Lausanne, Switzerland Machine Learning Gaussian Mixture Model Unsupervised Learning Predictive Mapping [INFO.INFO-AI]Computer S...
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7

IEcons: A New Consensus Approach Using Multi-Text Representations for Clustering Task
Boutalbi, Karima ; Boutalbi, Rafika ; Verjus, Hervé ; et al.
CIKM24: 33rd ACM International Conference on Information and Knowledge Management. :613-616

BOISE, United States Tensor Hierarchical clustering • Representation learnin... • NLP → Word embedding... • Clustering → Graph clu...
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8

Is Phase Really Needed for Weakly-Supervised Dereverberation ?
Rodrigues, Marius ; Bahrman, Louis ; Badeau, Roland ; et al.

Speech dereveberation reverberation modeling phase retrieval unsupervised learning [SPI.SIGNAL]Engineering... Signal and Image process...
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9

Normalizing Flows with Task-specific Pre-training for Unsupervised Anomaly Detection on Engineering Structures
Marc, Brice ; Foucher, Philippe ; Forbes, Florence ; et al.
EUSIPCO 2024 - 32nd European conference on signal processing. :1-5

Lyon, France Anomaly detection unsupervised learning normalizing flows [INFO.INFO-CV]Computer S... Computer Vision and Patt...
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10

Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent
Buskulic, Nathan ; Quéau, Yvain ; Fadili, Jalal ; et al.
2024 32nd European Signal Processing Conference (EUSIPCO). :1806-1810

Lyon, France Inverse problems Deep Image Inverse Prior Overparametrization Gradient descent
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11

A Comprehensive Framework for Unsupervised Deep Analysis of Tissue Bioarchitecture
Robert, Florian ; Calovoulos, Alexia ; Facq, Laurent ; et al.
International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Jun 2025, Madrid (ES), Spain

Madrid (ES), Spain Onconanotomy Segmentation Unsupervised learning Bioarchitecture Scanning electron micros...
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12

Using Yield Profiles to Study Reaction Mechanism
Duggal, Kalyana B. ; Moya Cruz, Emmanuel ; Jemison, Adriana L. ; et al.
ACS Catalysis. 15(22):19205-19215

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13

Building an Unsupervised Topical Similarity Measure for Conversation
Construction d'une mesure de similarité thématique non supervisée pour les conversations

Decker, Amandine ; Amblard, Maxime ; Semantic Analysis of Natural Language (SEMAGRAMME) ; et al.
35èmes Journées d'Études sur la Parole (JEP 2024) 31ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN 2024) 26ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL 2024). :362-375

Toulouse, France corpus dialogue Reddit similarity unsupervised learning
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14

Attention-based clustering
Maulen-Soto, Rodrigo ; Marion, Pierre ; Boyer, Claire ; et al.

Theory of machine learni... Transformers Attention-based models Clustering Unsupervised learning [STAT.ML]Statistics [sta...
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15

Autonomous Cloud Resource Management through DBSCAN-based unsupervised learning
Zhu, Qinyi ; 1Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA
OPTIMIZATIONS IN APPLIED MACHINE LEARNING , 2025

Autonomous Resource Mana... Autonomous Resource Management Cloud Computing Unsupervised Learning DBSCAN
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16

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement
Sadeghi, Mostafa ; Ayilo, Jean-Eudes ; Serizel, Romain ; et al.
IEEE Signal Processing Letters. 32:2694-2698

conditional transition m... diffusion models speech enhancement Unsupervised learning [INFO.INFO-LG]Computer S... Machine Learning [cs.LG]
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17

Unsupervised Learning of Unbiased Visual Representations
Barbano, Carlo Alberto ; Tartaglione, Enzo ; Grangetto, Marco ; et al.
IEEE Transactions on Artificial Intelligence. 6(5):1171-1183

Predictive models Data models Biological system modeli... Training Annotations Mathematical models
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18

Topological Analysis for Detecting Anomalies (TADA) in dependent sequences: application to Time Series
Chazal, Frédéric ; Levrard, Clément ; Royer, Martin ; et al.
Journal of Machine Learning Research. 25:1-49

Topological Data Analysi... Unsupervised Learning Anomaly Detection Multivariate Time Series β-mixing coefficients [STAT.ML]Statistics [sta...
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19

Topological Analysis for Detecting Anomalies (TADA) in Time Series
Chazal, Frédéric ; Levrard, Clément ; Royer, Martin ; et al.
Journal of Machine Learning Research. 25:1-49

Topological Data Analysi... Unsupervised Learning Anomaly Detection Multivariate Time Series β-mixing coefficients [STAT.ML]Statistics [sta...
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20

Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position For Cerebral Emboli Visualization Using Contrastive Learning
Dupouy, Mathilde ; Vindas, Yamil ; Almar, Marilys ; et al.
2025 IEEE International Symposium on Biomedical Imaging (ISBI), Apr 2025, Houston, United States. ⟨10.1109/ISBI60581.2025.10981113⟩

Houston, United States Contrastive learning Unsupervised learning Representation learning Cerebral emboli Transcranial Doppler
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