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Sensitivity

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Showing 626–650 of 2016 papers

TitleStatusHype
DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex—0
Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment—0
Distributed Matrix Pencil Formulations for Prescribed-Time Leader-Following Consensus of MASs with Unknown Sensor Sensitivity—0
Distributed Voltage Control of Active Distribution Networks With Global Sensitivity—0
Distributionally Robust Causal Inference with Observational Data—0
Early Detection of Mental Stress Using Advanced Neuroimaging and Artificial Intelligence—0
DNN-Driven Compressive Offloading for Edge-Assisted Semantic Video Segmentation—0
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity—0
Do cities have a unique magnetic pulse?—0
A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection—0
Does Instruction Tuning Make LLMs More Consistent?—0
Design criteria of flexible capacitive pressure sensors using DIY-techniques and household materials—0
Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network—0
Derivative-based Shapley value for global sensitivity analysis and machine learning explainability—0
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs—0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—0
Backward bifurcation and sensitivity analysis for bacterial meningitis transmission dynamics with a nonlinear recovery rate—0
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation—0
Bagged Regularized k-Distances for Anomaly Detection—0
On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates—0
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning—0
Differentially Private Optimization for Non-Decomposable Objective Functions—0
Balancing Robustness and Sensitivity using Feature Contrastive Learning—0
Balancing specificity, sensitivity and speed of ligand discrimination by zero-order ultraspecificity—0
Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models—0
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