Zobrazeno 1 - 10
of 1 245
pro vyhledávání: '"Wu Ligang"'
Publikováno v:
IEEE Signal Processing Letters, 2024
From the perspective of information bottleneck (IB) theory, we propose a novel framework for performing black-box transferable adversarial attacks named IBTA, which leverages advancements in invariant features. Intuitively, diminishing the reliance o
Externí odkaz:
http://arxiv.org/abs/2406.05531
Publikováno v:
Findings of the Association for Computational Linguistics, 2024
Despite the promising performance of state space models (SSMs) in long sequence modeling, limitations still exist. Advanced SSMs like S5 and S6 (Mamba) in addressing non-uniform sampling, their recursive structures impede efficient SSM computation vi
Externí odkaz:
http://arxiv.org/abs/2405.17534
Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality. However, most existing LFC methods rely on accurate power system modeling and usually ignore the nonlinear characteristic
Externí odkaz:
http://arxiv.org/abs/2403.04374
Few-Shot Class-Incremental Learning (FSCIL) has gained considerable attention in recent years for its pivotal role in addressing continuously arriving classes. However, it encounters additional challenges. The scarcity of samples in new sessions inte
Externí odkaz:
http://arxiv.org/abs/2403.04140
Advanced life forms, sustained by the synergistic interaction of neural cognitive mechanisms, continually acquire and transfer knowledge throughout their lifespan. In contrast, contemporary machine learning paradigms exhibit limitations in emulating
Externí odkaz:
http://arxiv.org/abs/2403.02628
The rise of generative neural networks has triggered an increased demand for intellectual property (IP) protection in generated content. Deep watermarking techniques, recognized for their flexibility in IP protection, have garnered significant attent
Externí odkaz:
http://arxiv.org/abs/2402.16397
Active tracking of space noncooperative object that merely relies on vision camera is greatly significant for autonomous rendezvous and debris removal. Considering its Partial Observable Markov Decision Process (POMDP) property, this paper proposes a
Externí odkaz:
http://arxiv.org/abs/2212.14304