Pattern Recognition & Machine Learning
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A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
2023, vol. 20, no. 4, pp. 483-513, doi: 10.1007/s11633-022-1406-4
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Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval
2023, vol. 20, no. 4, pp. 569-582, doi: 10.1007/s11633-022-1386-4
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A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes
2023, vol. 20, no. 4, pp. 583-594, doi: 10.1007/s11633-022-1363-y
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Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
2023, vol. 20, no. 4, pp. 447-482, doi: 10.1007/s11633-022-1410-8
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Federated Learning on Multimodal Data: A Comprehensive Survey
2023, vol. 20, no. 4, pp. 539-553, doi: 10.1007/s11633-022-1398-0
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Machine Learning Methods in Solving the Boolean Satisfiability Problem
2023, vol. 20, no. 5, pp. 640-655, doi: 10.1007/s11633-022-1396-2
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AI in Human-computer Gaming: Techniques, Challenges and Opportunities
2023, vol. 20, no. 3, pp. 299-317, doi: 10.1007/s11633-022-1384-6
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Offline Pre-trained Multi-agent Decision Transformer
2023, vol. 20, no. 2, pp. 233-248, doi: 10.1007/s11633-022-1383-7
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VLP: A Survey on Vision-language Pre-training
2023, vol. 20, no. 1, pp. 38-56, doi: 10.1007/s11633-022-1369-5
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Pruning-aware Sparse Regularization for Network Pruning
2023, vol. 20, no. 1, pp. 109-120, doi: 10.1007/s11633-022-1353-0
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