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Sensitivity

Papers

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Showing 501–550 of 2016 papers

TitleStatusHype
Coimagining the Future of Voice Assistants with Cultural Sensitivity—0
Near-Optimal differentially private low-rank trace regression with guaranteed private initialization—0
Small Noise Analysis of Non-Parametric Closed-Loop Identification—0
Vibration Sensitivity of one-port and two-port MEMS microphones—0
On Prompt Sensitivity of ChatGPT in Affective Computing—0
Algorithm for AGC index management against crowded radio environment—0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists—0
Perceptual learning in contour detection transfer across changes in contour path and orientation—0
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification—0
Pre-examinations Improve Automated Metastases Detection on Cranial MRI—0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification—0
Simplicity Bias of Transformers to Learn Low Sensitivity Functions—0
Small-Noise Sensitivity Analysis of Locating Pulses in the Presence of Adversarial Perturbation—0
CRISPR: Ensemble Model—0
Sensitivity Analysis On Loss Landscape—0
Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysisCode0
Phase autoencoder for limit-cycle oscillators—0
DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models—0
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond—0
Variational Learning is Effective for Large Deep NetworksCode2
MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning—0
MultiContrievers: Analysis of Dense Retrieval RepresentationsCode0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Remaining-data-free Machine Unlearning by Suppressing Sample Contribution—0
An Effective Networks Intrusion Detection Approach Based on Hybrid Harris Hawks and Multi-Layer Perceptron—0
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests—0
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic ChoicesCode0
Cluster Metric Sensitivity to Irrelevant Features—0
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection—0
Why are Sensitive Functions Hard for Transformers?Code0
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach—0
A Semantic Social Network Analysis Tool for Sensitivity Analysis and What-If Scenario Testing in Alcohol Consumption Studies—0
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach—0
Changes by Butterflies: Farsighted Forecasting with Group Reservoir Transformer—0
Wavefront Randomization Improves Deconvolution—0
Multi-class real-time crash risk forecasting using convolutional neural network: Istanbul case study—0
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging—0
No Dimensional Sampling Coresets for Classification—0
Block Sparse Bayesian Learning: A Diversified SchemeCode1
A Comparative Study of Sensitivity Computations in ESDIRK-Based Optimal Control Problems—0
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesCode0
Statistical validation of a deep learning algorithm for dental anomaly detection in intraoral radiographs using paired data—0
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsCode0
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition—0
Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models—0
EEG for fatigue monitoring—0
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 InfectionsCode0
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