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Sensitivity

Papers

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Showing 901–950 of 2016 papers

TitleStatusHype
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging—0
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models—0
Spectrum-BERT: Pre-training of Deep Bidirectional Transformers for Spectral Classification of Chinese Liquors—0
SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell functionCode0
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsCode1
Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion—0
FIT: A Metric for Model Sensitivity—0
Distributionally Robust Causal Inference with Observational Data—0
Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code—0
Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders—0
Deep learning model compression using network sensitivity and gradients—0
Joint Multi-grained Popularity-aware Graph Convolution Collaborative Filtering for RecommendationCode0
Using Deep Learning to Improve Early Diagnosis of Pneumonia in Underdeveloped Countries—0
DPAR: Decoupled Graph Neural Networks with Node-Level Differential PrivacyCode0
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series ModelsCode0
SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction—0
"No, they did not": Dialogue response dynamics in pre-trained language modelsCode0
When and why vision-language models behave like bags-of-words, and what to do about it?Code2
How deep convolutional neural networks lose spatial information with trainingCode0
Testing predictions of representation cost theory with CNNsCode0
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective—0
A Cascaded Multi-Task Generative Framework for Detecting Aortic Dissection on 3D Non-contrast-enhanced Computed TomographyCode1
“No, They Did Not”: Dialogue Response Dynamics in Pre-trained Language ModelsCode0
A Study of Implicit Bias in Pretrained Language Models against People with Disabilities—0
Automated segmentation of microvessels in intravascular OCT images using deep learning—0
Beyond Bayes-optimality: meta-learning what you know you don't know—0
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI—0
Development of AI-cloud based high-sensitivity wireless smart sensor for port structure monitoring—0
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
A sensitivity analysis of a gonorrhoea dynamics and control model—0
On the Relation between Sensitivity and Accuracy in In-context LearningCode0
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning—0
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing FlowsCode0
Vectorized Adjoint Sensitivity Method for Graph Convolutional Neural Ordinary Differential Equations—0
AI-powered Language Assessment Tools for Dementia—0
TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification—0
Sensitivity of steady states in networks with application to Markov chains and chemical reaction networks—0
No sensitivity to functional forms in the Rosenzweig-MacArthur model with strong environmental stochasticityCode0
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
Cross-Spectral Neural Radiance Fields—0
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes—0
Dynamic Global Sensitivity for Differentially Private Contextual Bandits—0
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object DetectionCode1
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints—0
Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach—0
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures—0
Statistical Aspects of SHAP: Functional ANOVA for Model InterpretationCode0
Sensitivity analysis and experimental evaluation of PID-like continuous sliding mode control—0
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation—0
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications—0
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