Improving Underwater Acoustic Classification Through Learnable Gabor Filter Convolution and Attention Mechanisms
arXiv:2512.14714v1 Announce Type: new
Abstract: Remotely detecting and classifying underwater acoustic targets is critical for environmental monitoring and defence. However, the complex nature of ship-radiated and environmental underwater noise poses significant challenges to accurate signal proces...
Robust Gradient Descent via Heavy-Ball Momentum with Predictive Extrapolation
arXiv:2512.10033v1 Announce Type: new
Abstract: Accelerated gradient methods like Nesterov's Accelerated Gradient (NAG) achieve faster convergence on well-conditioned problems but often diverge on ill-conditioned or non-convex landscapes due to aggressive momentum accumulation. We propose Heavy-Bal...
HGC-Herd: Efficient Heterogeneous Graph Condensation via Representative Node Herding
arXiv:2512.09947v1 Announce Type: new
Abstract: Heterogeneous graph neural networks (HGNNs) have demonstrated strong capability in modeling complex semantics across multi-type nodes and relations. However, their scalability to large-scale graphs remains challenging due to structural redundancy and ...
BAMBO: Construct Ability and Efficiency LLM Pareto Set via Bayesian Adaptive Multi-objective Block-wise Optimization
arXiv:2512.09972v1 Announce Type: new
Abstract: Constructing a Pareto set is pivotal for navigating the capability-efficiency trade-offs in Large Language Models (LLMs); however, existing merging techniques remain inadequate for this task. Coarse-grained, model-level methods yield only a sparse set...