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Sensitivity

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Showing 851–900 of 2016 papers

TitleStatusHype
Sensitivities of Asian options in the Black-Scholes model—0
Input-Output Analysis: New Results From Markov Chain Theory—0
Balancing a Stick with Eyes Shut: Inverted Pendulum on a Cart without Angle Measurement—0
High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates—0
Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencingCode1
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides—0
Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support LearningCode1
High-Fidelity Event-Radiance Recovery via Transient Event FrequencyCode0
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch CorruptionsCode1
A plug-in graph neural network to boost temporal sensitivity in fMRI analysis—0
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy—0
Resampling Sensitivity of High-Dimensional PCA—0
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology ImagesCode0
Sensitivity analysis of biological washout and depth selection for a machine learning based dose verification framework in proton therapy—0
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction TuningCode1
Unsupervised Domain Adaptation for Automated Knee Osteoarthritis Phenotype Classification—0
PPO-UE: Proximal Policy Optimization via Uncertainty-Aware Exploration—0
High Resolution Near Field Microwave Imaging using Loaded Circular Aperture Probe—0
On the Sensitivity of Reward Inference to Misspecified Human Models—0
Identifying mechanisms driving the early response of triple negative breast cancer patients to neoadjuvant chemotherapy using a mechanistic model integrating in vitro and in vivo imaging data—0
Counterfactual reasoning: Do language models need world knowledge for causal understanding?Code1
VeriX: Towards Verified Explainability of Deep Neural Networks—0
When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveCode0
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement LearningCode1
VOCAL: Vowel and Consonant Layering for Expressive Animator-Centric Singing Animation—0
Non-invasive Liver Fibrosis Screening on CT Images using Radiomics—0
Sensitivity Analyses of Resilience-oriented Risk-averse Active Distribution Systems Planning—0
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans—0
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean FunctionsCode0
Bode Integral Limitation For Irrational Systems—0
Probing for Incremental Parse States in Autoregressive Language ModelsCode0
Improving Interpretability via Regularization of Neural Activation Sensitivity—0
Sensitivity to control signals in triphasic rhythmic neural systems: a comparative mechanistic analysis via infinitesimal local timing response curves—0
Bayesian Reconstruction and Differential Testing of Excised mRNACode0
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission PredictionCode0
Empirical Risk Minimization with Relative Entropy Regularization—0
Extending Logic Explained Networks to Text ClassificationCode1
Decorrelation with conditional normalizing flowsCode0
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning—0
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity—0
Deep Distance Sensitivity Oracles—0
Effective Backdoor Defense by Exploiting Sensitivity of Poisoned SamplesCode1
User-Entity Differential Privacy in Learning Natural Language ModelsCode0
Parametrically driven inertial sensing in chip-scale optomechanical cavities at the thermodynamical limits with extended dynamic range—0
Block-Wise Dynamic-Precision Neural Network Training Acceleration via Online Quantization Sensitivity Analytics—0
Reliability of CKA as a Similarity Measure in Deep Learning—0
Neural Networks with Quantization ConstraintsCode0
Closed-form modeling of neuronal spike train statistics using multivariate Hawkes cumulantsCode0
Calibrationless Reconstruction of Uniformly-Undersampled Multi-Channel MR Data with Deep Learning Estimated ESPIRiT Maps—0
DEMETR: Diagnosing Evaluation Metrics for TranslationCode1
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