1,521 results on '"continual learning"'
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2. Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives
3. Exploiting experience accumulation in stock price prediction with continual learning
4. Open continual sampling with hypersphere knowledge transfer for rapid feature selection
5. Defying catastrophic forgetting via influence function
6. CLMS: Bridging domain gaps in medical imaging segmentation with source-free continual learning for robust knowledge transfer and adaptation
7. Wasserstein task embedding for measuring task similarities
8. EvolveDetector: Towards an evolving fake news detector for emerging events with continual knowledge accumulation and transfer
9. Prototypical class-wise test-time adaptation
10. Continual learning with Bayesian compression for shared and private latent representations
11. Exploring continual learning strategies in artificial neural networks through graph-based analysis of connectivity: Insights from a brain-inspired perspective
12. CPT4: Continual Prompted Transformer for Test Time Training
13. Concept-driven knowledge distillation and pseudo label generation for continual named entity recognition
14. Overcoming catastrophic forgetting in molecular property prediction using continual learning of sequential episodes
15. KDN: A class-added continual learning framework for cross-machine fault diagnosis with limited samples
16. The deep continual learning framework for prediction of blast-induced overbreak in tunnel construction
17. EverAdapt: Continuous adaptation for dynamic machine fault diagnosis environments
18. Enhanced variational autoencoder with continual learning capability for multimode process monitoring
19. Adaptive monitoring for multimode nonstationary processes using cointegration analysis and probabilistic slow feature analysis
20. Towards prompt tuning-based software vulnerability assessment with continual learning
21. Continual learning in the presence of repetition
22. Learning incremental audio–visual representation for continual multimodal understanding
23. Continual learning in medical image analysis: A survey
24. An adaptive updating model for pavement performance based on Deep Neural Networks
25. A hybrid transfer learning to continual learning strategy for improving cross-building energy prediction in data increment scenario
26. Continuous unsupervised domain adaptation using stabilized representations and experience replay
27. Drifting explanations in continual learning
28. Continual medical image denoising based on triplet neural networks collaboration
29. Bilevel-optimized continual learning for predicting capacity degradation of lithium-ion batteries
30. Development and prospective clinical validation of a convolutional neural network for automated detection and segmentation of focal cortical dysplasias
31. Multi-modal disease segmentation with continual learning and adaptive decision fusion
32. Concept drift monitoring for industrial load forecasting with artificial neural networks
33. What’s Real News Today? A Multimodal, Continual-Learning Approach for Detecting Fake News Over Time
34. Data Composition for Continual Learning in Application of Cyberattack Detection
35. Investigating the Terrain of Class-Incremental Continual Learning: A Brief Survey
36. Leveraging Low Rank Filters for Efficient and Knowledge-Preserving Lifelong Learning
37. Leveraging Task-Specific VAEs for Efficient Exemplar Generation in HAR
38. Out-of-Distribution Forgetting: Vulnerability of Continual Learning to Intra-class Distribution Shift
39. Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading
40. Mask and Compress: Efficient Skeleton-Based Action Recognition in Continual Learning
41. Federated Class Incremental Learning: A Pseudo Feature Based Approach Without Exemplars
42. TaE: Task-Aware Expandable Representation for Long Tail Class Incremental Learning
43. VIFA: An Efficient Visible and Infrared Image Fusion Architecture for Multi-task Applications via Continual Learning
44. FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
45. Audio Deepfake Detection: A Continual Approach with Feature Distillation and Dynamic Class Rebalancing
46. Recommendation of Data-Free Class-Incremental Learning Algorithms by Simulating Future Data
47. TADIL: Task-Agnostic Domain-Incremental Learning Through Task-ID Inference Using Transformer Nearest-Centroid Embeddings
48. Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
49. MAGMAX: Leveraging Model Merging for Seamless Continual Learning
50. Rethinking Few-Shot Class-Incremental Learning: Learning from Yourself
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