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arXiv:2408.07734v2 Announce Type: replace Abstract: The computational complexity of deep learning algorithms has given rise to significant speed and memory challenges for the execution hardware....
arXiv:2408.10501v3 Announce Type: replace Abstract: Along with the prosperity of generative artificial intelligence (AI), its potential for solving conventional challenges in wireless communications has also...
arXiv:2408.15205v4 Announce Type: replace Abstract: Promptable segmentation typically requires instance-specific manual prompts to guide the segmentation of each desired object. To minimize such a need,...
arXiv:2408.16099v2 Announce Type: replace Abstract: Communicating about some vital topics -- such as sexuality and health -- is treated as taboo and subjected to censorship....
arXiv:2408.16987v2 Announce Type: replace Abstract: Post hoc explainers such as SHAP and LIME are used widely in business research to interpret complex machine learning models....
arXiv:2409.03597v4 Announce Type: replace Abstract: This paper presents the Multimodal Laryngoscopic Video Analyzing System (MLVAS), a novel system that leverages both audio and video data...
arXiv:2409.05808v3 Announce Type: replace Abstract: Software testing is a crucial phase in the software development lifecycle (SDLC), ensuring that products meet necessary functional, performance, and...
arXiv:2409.08290v3 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) promise higher energy efficiency over conventional Quantized Artificial Neural Networks (QNNs) due to their event-driven, spike-based...
arXiv:2409.08439v3 Announce Type: replace Abstract: Even though a variety of methods have been proposed in the literature, efficient and effective latent-space control (i.e., control in...
arXiv:2409.08687v4 Announce Type: replace Abstract: Reusing pre-collected data from different domains is an appealing solution for decision-making tasks, especially when data in the target domain...
arXiv:2409.08926v3 Announce Type: replace Abstract: Transparent object depth perception poses a challenge in everyday life and logistics, primarily due to the inability of standard 3D...
arXiv:2409.09787v5 Announce Type: replace Abstract: Developing an efficient sampler capable of generating independent and identically distributed (IID) samples from a Boltzmann distribution is a crucial...
arXiv:2409.14736v3 Announce Type: replace Abstract: Nonlinearity in dynamics has long been a major challenge in robotics, often causing significant performance degradation in existing control algorithms....
arXiv:2409.14878v2 Announce Type: replace Abstract: Depression poses significant challenges to patients and healthcare organizations, necessitating efficient assessment methods. Existing paradigms typically focus on a patient-doctor...
arXiv:2409.16990v3 Announce Type: replace Abstract: The creation of 3D human face avatars from a single unconstrained image is a fundamental task that underlies numerous real-world...
arXiv:2409.18901v2 Announce Type: replace Abstract: Learning a discriminative model that distinguishes the specified target from surrounding distractors across frames is essential for generic object tracking...
arXiv:2409.20306v2 Announce Type: replace Abstract: Although substantial progress has been made in automatically verifying whether distributed routing configurations conform to certain requirements, diagnosing and repairing...
arXiv:2410.02843v2 Announce Type: replace Abstract: Recent advances in learning dynamical systems from data have shown significant promise. However, many existing methods assume access to the...
arXiv:2410.03618v3 Announce Type: replace Abstract: Training visual reinforcement learning agents in a high-dimensional open world presents significant challenges. While various model-based methods have improved sample...
arXiv:2410.03858v4 Announce Type: replace Abstract: A prior represents a set of beliefs or assumptions about a system, aiding inference and decision-making. In this paper, we...
arXiv:2410.07547v3 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) are considered to have enormous potential in the future development of Artificial Intelligence due to their...
arXiv:2410.07719v3 Announce Type: replace Abstract: Despite being widely adopted as a canonical framework for learning robust models, adversarial training suffers from robust overfitting. Existing empirical...
arXiv:2410.09396v2 Announce Type: replace Abstract: Existing gesture generation methods primarily focus on upper body gestures based on audio features, neglecting speech content, emotion, and locomotion....
arXiv:2410.11683v2 Announce Type: replace Abstract: We study the problem of designing revenue-maximizing mechanisms for a selfish mediator who facilitates trade between a buyer and a...