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Sensitivity

Papers

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Showing 451–500 of 2016 papers

TitleStatusHype
A Theoretical Formulation of Many-body Message Passing Neural NetworksCode0
Sensitivity to User Mischaracterizations in Electric Vehicle ChargingCode0
Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs ProductionCode0
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural NetworksCode0
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's TypeCode0
Does BERT agree? Evaluating knowledge of structure dependence through agreement relationsCode0
Sinusoidal Sensitivity Calculation for Line Segment GeometriesCode0
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep LearningCode0
Differentially Private Online Bayesian Estimation With Adaptive TruncationCode0
A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep LearningCode0
Differentially Private Selection using Smooth SensitivityCode0
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image AnalysisCode0
Differentially Private Relational Learning with Entity-level Privacy GuaranteesCode0
SPINA Carb: a simple mathematical model supporting fast in-vivo estimation of insulin sensitivity and beta cell functionCode0
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive ProgressionsCode0
Testing predictions of representation cost theory with CNNsCode0
Differentially Private Topological Data AnalysisCode0
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical AlterationsCode0
DP-SGD Without Clipping: The Lipschitz Neural Network WayCode0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Designing Differentially Private Estimators in High DimensionsCode0
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text SpatializationsCode0
Determinantal Point Processes for CoresetsCode0
The Illusion of the Illusion of Sparsity: An exercise in prior sensitivityCode0
ajdmom: A Python Package for Deriving Moment Formulas of Affine Jump Diffusion ProcessesCode0
Correspondence of Deep Neural Networks and the Brain for Visual TexturesCode0
COSE: A Consistency-Sensitivity Metric for Saliency on Image ClassificationCode0
Learning Relevant Contextual Variables Within Bayesian OptimizationCode0
Deep learning for brain metastasis detection and segmentation in longitudinal MRI dataCode0
Time Series Forecasting Using LSTM Networks: A Symbolic ApproachCode0
Towards an Automatic Diagnosis of Peripheral and Central Palsy Using Machine Learning on Facial FeaturesCode0
Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional EncodersCode0
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance JudgmentCode0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
Decorrelation with conditional normalizing flowsCode0
Deep Convolutional Neural Networks for Breast Cancer Histology Image AnalysisCode0
Assessing the Effects of Hyperparameters on Knowledge Graph Embedding QualityCode0
Assessing the Alignment of FOL Closeness Metrics with Human JudgementCode0
A Signal Propagation Perspective for Pruning Neural Networks at InitializationCode0
AdaCliP: Adaptive Clipping for Private SGDCode0
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of ExpertsCode0
Assessing Sensitivity of Machine Learning Predictions.A Novel Toolbox with an Application to Financial LiteracyCode0
Cultural Heritage 3D Reconstruction with Diffusion NetworksCode0
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRankCode0
Asking Again and Again: Exploring LLM Robustness to Repeated QuestionsCode0
UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network ModelsCode0
Using Deep Learning to Identify Initial Error Sensitivity for Interpretable ENSO ForecastsCode0
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language ModelsCode0
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-trainingCode0
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language ModelsCode0
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