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Sensitivity

Papers

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Showing 1–50 of 2016 papers

TitleStatusHype
SmoothGrad: removing noise by adding noiseCode4
RadGPT: Constructing 3D Image-Text Tumor DatasetsCode3
Intervention-Aware Forecasting: Breaking Historical Limits from a System PerspectiveCode3
OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFDCode2
I2I-Mamba: Multi-modal medical image synthesis via selective state space modelingCode2
LeGrad: An Explainability Method for Vision Transformers via Feature Formation SensitivityCode2
Infrared Small Target Detection with Scale and Location SensitivityCode2
Variational Learning is Effective for Large Deep NetworksCode2
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsCode2
When and why vision-language models behave like bags-of-words, and what to do about it?Code2
Scalable Gradients for Stochastic Differential EquationsCode2
Phare: A Safety Probe for Large Language ModelsCode1
Examining Deployment and Refinement of the VIOLA-AI Intracranial Hemorrhage Model Using an Interactive NeoMedSys PlatformCode1
MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-DesignCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous DrivingCode1
On the Generalization of Representation Uncertainty in Earth ObservationCode1
HealthiVert-GAN: A Novel Framework of Pseudo-Healthy Vertebral Image Synthesis for Interpretable Compression Fracture GradingCode1
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image SynthesisCode1
Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable ProgrammingCode1
DCentNet: Decentralized Multistage Biomedical Signal Classification using Early ExitsCode1
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot CountingCode1
Physics-Driven Autoregressive State Space Models for Medical Image ReconstructionCode1
Controllable Context Sensitivity and the Knob Behind ItCode1
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category DiscoveryCode1
CausalGraph2LLM: Evaluating LLMs for Causal QueriesCode1
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMsCode1
Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language ModelsCode1
POSIX: A Prompt Sensitivity Index For Large Language ModelsCode1
DenoMamba: A fused state-space model for low-dose CT denoisingCode1
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE InferenceCode1
Self-Supervision Improves Diffusion Models for Tabular Data ImputationCode1
Attack-Aware Noise Calibration for Differential PrivacyCode1
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place RecognitionCode1
A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic ImagesCode1
Ferrari: Federated Feature Unlearning via Optimizing Feature SensitivityCode1
Inherent Trade-Offs between Diversity and Stability in Multi-Task BenchmarksCode1
Block Sparse Bayesian Learning: A Diversified SchemeCode1
Pard: Permutation-Invariant Autoregressive Diffusion for Graph GenerationCode1
RetailSynth: Synthetic Data Generation for Retail AI Systems EvaluationCode1
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language ModelsCode1
IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRICode1
The Memory Perturbation Equation: Understanding Model's Sensitivity to DataCode1
Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine LearningCode1
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formattingCode1
Sensitivity of Survival Analysis MetricsCode1
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive CollaborationCode1
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody ExtractionCode1
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic ModelsCode1
Bring Your Own Data! Self-Supervised Evaluation for Large Language ModelsCode1
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