DUST-NS: Dual-backbone sparse tuning through neuron saliency in MLLMs
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NEUROCOMPUTING
- Publisher:
- Elsevier
- ISSN:
- 0925-2312
- Category:
- COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Impact factor:
- 5.5
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Data-driven fast optimal regulation with adjustable convergence for asymmetric constrained systems
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UUV autonomous control for terrain tracking problem through distributional reinforcement learning
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A growing concept history of recurring classifiers for high-frequency data streams
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Music-driven dance generation: A comprehensive review
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KDADGNet: A data augmentation and knowledge distillation-based technique for enhancing domain generalization in imagined typing
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Double-task physics-informed neural network for the prediction of PM2.5 concentration
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Critic-only learning based backstepping formulation for output constrained optimal tracking under actuator saturation
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PRISM: Lightweight multivariate time-series classification through symmetric multi-resolution convolutional layers
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Temporal knowledge graph reasoning based on multidimensional information interaction and dynamic frequency awareness
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Confident classification via template representation learning
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Mean-square bipartite synchronization of coopetition neural networks under pinning sampled-data and deception attacks: Designing interval-dependent looped-function
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UIID: Unified intra-modal and inter-modal distillation for image-text retrieval
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Global and multi-subgraph graph convolutional generative adversarial network for heterogeneous traffic data imputation
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New results on fixed/preassigned-time stabilization of the discontinuous neural networks with mixed time-varying delays
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BiPA-Net: Bi-directional prototype alignment with fine-grained enhancement for few-shot object detection
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Multi-view clustering for non-line-of-sight imaging with neighborhood consistency reweighting
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A novel fuzzy-power robust RNN model for tracking control of mobile robot manipulators
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Time series analysis of spiking neural systems via transfer entropy and directed persistent homology
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Transformer-enhanced trust-region multi-agent reinforcement learning guidance strategy for multiple interceptors against maneuvering target
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A constrain–select Markov blanket discovery algorithm for causal feature selection
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Command filter based optimized backstepping tracking control design for uncertain strict-feedback chaotic systems via reinforcement learning
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Leader-follower communication graph optimization method for multi-agent reinforcement learning via transformer
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Semi-supervised driving style recognition via deep metric learning and liquid time-constant networks
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General Bayesian Reinforcement Learning and Associated Differential Approximations
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Safe multi-agent reinforcement learning based on adversarial strategy and control barrier function feasible set
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Outlier detection based on local dynamic granular-ball computing
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A multi-objective surrogate framework for training neural topic models
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HMR-net: Hierarchical multi-scale relation network for visible-infrared person re-identification
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Random graph construction-based hierarchical attention multi-task graph convolution network for sEEG SOZ identification
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