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Sensitivity

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/nenadmarkus/pico

공식 코드

Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

https://github.com/neukg/robustmrc

공식 코드

An Understanding-Oriented Robust Machine Reading Comprehension Model

https://github.com/neurai-lab/esmer

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Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning

https://github.com/neuralsentinel/culturalkaleidoscope

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Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models

https://github.com/ngessert/patch-lesion

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Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

https://github.com/nikikilbertus/cf-fairness-sensitivity

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The Sensitivity of Counterfactual Fairness to Unmeasured Confounding

https://github.com/nilsbarlaug/lemon

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LEMON: Explainable Entity Matching

https://github.com/nprivaul/hawkes-moments

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Closed-form modeling of neuronal spike train statistics using multivariate Hawkes cumulants

https://github.com/nxtproduct/tunet

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TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised Pretraining

https://github.com/nyuolab/model_sensitivity

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Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction

https://github.com/oatml/overcast

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Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions

https://github.com/oliver-lloyd/kge_param_sens

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Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality

https://github.com/omidbazgirTTU/IntegratedREFINED

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Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction

https://github.com/ongwinkent/federated-feature-unlearning

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Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

https://github.com/open-compass/ProSA

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ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs

https://github.com/orion-ai-lab/eouncertaintygeneralization

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On the Generalization of Representation Uncertainty in Earth Observation

https://github.com/osu-mr/scc

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Surface Coil Intensity Correction for MRI

https://github.com/ozolotareva/Flimma

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Flimma: a federated and privacy-preserving tool for differential gene expression analysis

https://github.com/paulnovello/goal-oriented-ho

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Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning

https://github.com/peijin360/vsre

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Expand VSR Benchmark for VLLM to Expertize in Spatial Rules

https://github.com/phunglai728/uedp

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User-Entity Differential Privacy in Learning Natural Language Models

https://github.com/pku-sec-lab/adapmoe

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AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference

https://github.com/pnnl/frequency_sensitivity

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Testing predictions of representation cost theory with CNNs

https://github.com/pouyapez/criage

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Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

https://github.com/ppernot/2024_simref

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Validation of ML-UQ calibration statistics using simulated reference values: a sensitivity analysis

https://github.com/preethisesh/hiring_fairness

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Who Does the Giant Number Pile Like Best: Analyzing Fairness in Hiring Contexts

https://github.com/pritchardn/SNN-RFI-SUPER

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Polarisation-Inclusive Spiking Neural Networks for Real-Time RFI Detection in Modern Radio Telescopes

https://github.com/psosnin/AbstractGradientTraining

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Certification for Differentially Private Prediction in Gradient-Based Training

https://github.com/psu-efd/Hydrograd.jl

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Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming

https://github.com/punkduckable/ndde

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Learning the Delay Using Neural Delay Differential Equations

https://github.com/qchen95/Coupled-input-output-DR

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Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis

https://github.com/qimingfan10/SAM-VMNet

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A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images

https://github.com/rainerkelz/ICASSP18

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Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling

https://github.com/ramyakeerthy/alignmentfol

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Assessing the Alignment of FOL Closeness Metrics with Human Judgement

https://github.com/rballester/ttpca

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Visualization of High-dimensional Scalar Functions Using Principal Parameterizations

https://github.com/rballester/yodo

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You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks

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