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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/ssea-lab/DL4ETI

공식 코드

Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms

https://github.com/stanfordasl/second-ordersensitivityanalysisforbileveloptimization

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Second-Order Sensitivity Analysis for Bilevel Optimization

https://github.com/stanfordasl/sensitivity_jax

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Second-Order Sensitivity Analysis for Bilevel Optimization

https://github.com/stanfordasl/sensitivity_torch

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Second-Order Sensitivity Analysis for Bilevel Optimization

https://github.com/stmharry/dental-pano-ai

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Artificial Intelligence to Assess Dental Findings from Panoramic Radiographs -- A Multinational Study

https://github.com/sys-bio/CodeForPublishedPapers

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Dynamics and Sensitivity of Signaling Pathways

https://github.com/szegedai/robust-segmentation-evaluation

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Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

https://github.com/talkking/MixGPT

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One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models

https://github.com/tamaramueller/deuterium_partial_sensitivity

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Partial sensitivity analysis in differential privacy

https://github.com/team-approx-bayes/ivon

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Variational Learning is Effective for Large Deep Networks

https://github.com/team-approx-bayes/memory-perturbation

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The Memory Perturbation Equation: Understanding Model's Sensitivity to Data

https://github.com/terry-cyx/metaopenfoam

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OptMetaOpenFOAM: Large Language Model Driven Chain of Thought for Sensitivity Analysis and Parameter Optimization based on CFD

https://github.com/teuron/optimal_truncated_noise

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Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms

https://github.com/theosourget/mmc_masking

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Mask of truth: model sensitivity to unexpected regions of medical images

https://github.com/theosourget/mmc_masking_eyefundus

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Mask of truth: model sensitivity to unexpected regions of medical images

https://github.com/tidorosti/reader-study_unet-processed-lung-cancer-ct

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Improving image quality of sparse-view lung tumor CT images with U-Net

https://github.com/toddnief/rate

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RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals

https://github.com/topipa/GP_varsel_KL_VAR

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Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution

https://github.com/topipa/gp-varsel-kl-var

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Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution

https://github.com/topipa/rsens-paper

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Uncertainty-aware Sensitivity Analysis Using Rényi Divergences

https://github.com/treversec/tale_of_two_perplexities

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A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type

https://github.com/trianam/machinelearningmagneticsensing

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Machine-learning based high-bandwidth magnetic sensing

https://github.com/tristacao/u.s_stereotypes

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Theory-Grounded Measurement of U.S. Social Stereotypes in English Language Models

https://github.com/ttcassid/MLE_Continuation

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A continuation technique for maximum likelihood estimators in biological models

https://github.com/ucdavis/llm_vet_records

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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records

https://github.com/uchiyama33/aosa

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Adaptive occlusion sensitivity analysis for visually explaining video recognition networks

https://github.com/uclanlp/nlp-interpretation-faithfulness

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On the Sensitivity and Stability of Model Interpretations in NLP

https://github.com/ukplab/arxiv2023-sociodemographic-prompting

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Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting

https://github.com/ukplab/naacl2024-prompt-sensitivity

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How are Prompts Different in Terms of Sensitivity?

https://github.com/utcsilab/deep-jsense

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Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

https://github.com/uva-mlsys/covid-19-age-groups

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Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections

https://github.com/uvm-plaid/backpropagation-clipping

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Backpropagation Clipping for Deep Learning with Differential Privacy

https://github.com/uwaa-ndcl/pose_network_sensitivity

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On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds

https://github.com/valentyn1997/csm-apid

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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model

https://github.com/vertaix/vendi-sampling

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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

https://github.com/vertaix/vendi-score

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Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning

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