Sensitivity

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 505 papers with code (2,016 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SmoothGrad: removing noise by adding noise
  12 Jun 2017 20 repositories listed
  Explaining the output of a deep network remains a challenge.
• A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
  13 Oct 2015 19 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Convolutional Neural Networks (CNNs) have recently achieved remarkably strong performance on the practically important task of sentence classification (kim 2014, kalchbrenner 2014, johnson 2014).
• Progressive Neural Networks
  15 Jun 2016 12 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  Learning to solve complex sequences of tasks--while both leveraging transfer and avoiding catastrophic forgetting--remains a key obstacle to achieving human-level intelligence.
• SNIP: Single-shot Network Pruning based on Connection Sensitivity
  4 Oct 2018 8 repositories listed Syntology ran 5 of 12 samples · 7 unverified · 7 pointer-only (licence)
  To achieve this, we introduce a saliency criterion based on connection sensitivity that identifies structurally important connections in the network for the given task.
• Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
  20 May 2013 8 repositories listed
  We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors.
• Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations
  11 Jul 2017 7 repositories listed
  Deep-learning has proved in recent years to be a powerful tool for image analysis and is now widely used to segment both 2D and 3D medical images.
• Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks
  6 Jul 2017 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We develop an algorithm which exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms recorded with a single-lead wearable monitor.
• CovidAID: COVID-19 Detection Using Chest X-Ray
  21 Apr 2020 5 repositories listed
  This may be useful in an inpatient setting where the present systems are struggling to decide whether to keep the patient in the ward along with other patients or isolate them in COVID-19 areas.
• Measuring Arithmetic Extrapolation Performance
  4 Oct 2019 5 repositories listed
  The goal of NALU is to learn perfect extrapolation, which requires learning the exact underlying logic of an unknown arithmetic problem.
• Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing
  14 Dec 2018 5 repositories listed
  We thus first propose a measure of `sensitivity' and show empirically that normal samples and adversarial samples have distinguishable sensitivity.
• Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography
  30 Aug 2017 5 repositories listed
  We also demonstrate that a whole image classifier trained using our end-to-end approach on the DDSM digitized film mammograms can be transferred to INbreast FFDM images using only a subset of the INbreast data for…
• Scalable Gradients for Stochastic Differential Equations
  5 Jan 2020 4 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 2 pointer-only (licence)
  The adjoint sensitivity method scalably computes gradients of solutions to ordinary differential equations.
• BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
  12 Sep 2023 3 repositories listed
  As GPT-4 is purportedly one of the best-performing multilingual LLMs at the moment, we use it as a yardstick to gauge the capabilities of LLMs in the context of SEA languages.
• Second-Order Sensitivity Analysis for Bilevel Optimization
  4 May 2022 3 repositories listed
  Many existing approaches to bilevel optimization employ first-order sensitivity analysis, based on the implicit function theorem (IFT), for the lower problem to derive a gradient of the lower problem solution with…
• Hamiltonian Deep Neural Networks Guaranteeing Non-vanishing Gradients by Design
  27 May 2021 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Deep Neural Networks (DNNs) training can be difficult due to vanishing and exploding gradients during weight optimization through backpropagation.
• COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
  28 Sep 2020 3 repositories listed
  Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries affecting millions and claiming almost 1 million lives, since its emergence in late 2019.
• Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
  5 Aug 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  To have a better understanding and usage of Convolution Neural Networks (CNNs), the visualization and interpretation of CNNs has attracted increasing attention in recent years.
• Inter- and intra- patient ECG heartbeat classification for arrhythmia detection: a sequence to sequence deep learning approach
  9 Dec 2018 3 repositories listed
  Electrocardiogram (ECG) signal is a common and powerful tool to study heart function and diagnose several abnormal arrhythmia.
• Gated Path Planning Networks
  17 Jun 2018 3 repositories listed
  Value Iteration Networks (VINs) are effective differentiable path planning modules that can be used by agents to perform navigation while still maintaining end-to-end differentiability of the entire architecture.
• Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
  2 Feb 2018 3 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 3 pointer-only (licence)
  In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification.
• Mask of truth: model sensitivity to unexpected regions of medical images
  5 Dec 2024 2 repositories listed
  We show that all models trained on the PadChest dataset, irrespective of the masking strategy, are able to obtain an Area Under the Curve (AUC) above random.
• Attack-Aware Noise Calibration for Differential Privacy
  2 Jul 2024 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  For a given notion of attack risk, our approach significantly decreases noise scale, leading to increased utility at the same level of privacy.
• Intervention-Aware Forecasting: Breaking Historical Limits from a System Perspective
  22 May 2024 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified
  Traditional time series forecasting methods predominantly rely on historical data patterns, neglecting external interventions that significantly shape future dynamics.
• SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
  8 Jan 2024 2 repositories listed
  Alzheimer's disease (AD), the predominant form of dementia, is a growing global challenge, emphasizing the urgent need for accurate and early diagnosis.
• SensLI: Sensitivity-Based Layer Insertion for Neural Networks
  27 Nov 2023 2 repositories listed
  The training of neural networks requires tedious and often manual tuning of the network architecture.
• Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning
  19 Oct 2023 2 repositories listed Syntology ran 12 of 16 samples · 4 unverified · 3 pointer-only (licence)
  Contrary to many diversity metrics in ecology, the Vendi Score accounts for similarity and does not require knowledge of the prevalence of the categories in the collection to be evaluated for diversity.
• Online Map Vectorization for Autonomous Driving: A Rasterization Perspective
  18 Jun 2023 2 repositories listed
  However, current map vectorization methods often exhibit deviations, and the existing evaluation metric for map vectorization lacks sufficient sensitivity to detect these deviations.
• LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
  30 May 2023 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  We propose an automated algorithm to stress-test a trained visual model by generating language-guided counterfactual test images (LANCE).
• Kernel Conditional Moment Constraints for Confounding Robust Inference
  26 Feb 2023 2 repositories listed Syntology ran 0 of 17 samples · 17 unverified
  It can be shown that our estimator contains the recently proposed sharp estimator by Dorn and Guo (2022) as a special case, and our method enables a novel extension of the classical marginal sensitivity model using…
• Extending Logic Explained Networks to Text Classification
  4 Nov 2022 2 repositories listed
  Recently, Logic Explained Networks (LENs) have been proposed as explainable-by-design neural models providing logic explanations for their predictions.

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.