Methods › Computer Vision › Image Models › Interpretability › Papers, page 12

Interpretability

Papers archive 2025-07-28

archive papers tagged: 1,322 · with a code link: 501 · where Syntology ran a sample: 112 (82 with a run with no instrument failure, 30 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (112 of 1,322 tagged: 82 with a run with no instrument failure, 30 where every run was a failure of Syntology's instrument)

Page 12 of 14: papers 1,101 to 1,200 of 1,322, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
  3 May 2018 · 0 repositories · arXiv:1805.01889
• Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia
  2 May 2018 · 0 repositories · arXiv:1805.00632
• Towards Interpretable Face Recognition
  2 May 2018 · 1 repository · arXiv:1805.00611
• How convolutional neural network see the world - A survey of convolutional neural network visualization methods
  30 Apr 2018 · 1 repository · arXiv:1804.11191
• Inducing and Embedding Senses with Scaled Gumbel Softmax
  22 Apr 2018 · 0 repositories · arXiv:1804.08077
• Visualizing the Feature Importance for Black Box Models
  18 Apr 2018 · 1 repository · arXiv:1804.06620
• Understanding Community Structure in Layered Neural Networks
  13 Apr 2018 · 0 repositories · arXiv:1804.04778
• Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode
  12 Apr 2018 · 0 repositories · arXiv:1804.04651
• Learning Deep Gradient Descent Optimization for Image Deconvolution
  10 Apr 2018 · 1 repository · arXiv:1804.03368
• A review of possible effects of cognitive biases on the interpretation of rule-based machine learning models
  9 Apr 2018 · 0 repositories · arXiv:1804.02969
• Scalable Factorized Hierarchical Variational Autoencoder Training
  9 Apr 2018 · 2 repositories · arXiv:1804.03201
• Deep Attention Model for Triage of Emergency Department Patients
  28 Mar 2018 · 0 repositories · arXiv:1804.03240
• Counterexamples for Robotic Planning Explained in Structured Language
  23 Mar 2018 · 0 repositories · arXiv:1803.08966
• DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
  20 Mar 2018 · 0 repositories · arXiv:1803.07519
• Graph-based regularization for regression problems with alignment and highly-correlated designs
  20 Mar 2018 · 0 repositories · arXiv:1803.07658
• Transferring Rich Deep Features for Facial Beauty Prediction
  20 Mar 2018 · 1 repository · arXiv:1803.07253
• Learning non-Gaussian Time Series using the Box-Cox Gaussian Process
  19 Mar 2018 · 0 repositories · arXiv:1803.07102
• Early hospital mortality prediction using vital signals
  18 Mar 2018 · 1 repository · arXiv:1803.06589
• Large-Scale Model Selection with Misspecification
  17 Mar 2018 · 0 repositories · arXiv:1803.07418
• Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling
  15 Mar 2018 · 1 repository · arXiv:1803.06010
• Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
  14 Mar 2018 · 1 repository · arXiv:1803.05268
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 8 harvested samples)
• Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
  13 Mar 2018 · 0 repositories · arXiv:1803.04967
• Variational zero-inflated Gaussian processes with sparse kernels
  13 Mar 2018 · 1 repository · arXiv:1803.05036
• Explaining Black-box Android Malware Detection
  9 Mar 2018 · 0 repositories · arXiv:1803.03544
• Compositional Attention Networks for Machine Reasoning
  8 Mar 2018 · 10 repositories · arXiv:1803.03067
  Syntology community repositories only · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 7 harvested samples)
• From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation
  8 Mar 2018 · 0 repositories · arXiv:1804.11177
• Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
  3 Mar 2018 · 0 repositories · arXiv:1803.01257
• Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews
  22 Feb 2018 · 0 repositories · arXiv:1802.07938
• Learning Topic Models by Neighborhood Aggregation
  22 Feb 2018 · 0 repositories · arXiv:1802.08012
• Using Data Mining to Predict Hospital Admissions From the Emergency Department
  22 Feb 2018 · 1 repository
• CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
  21 Feb 2018 · 1 repository · arXiv:1802.07839
• Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
  20 Feb 2018 · 2 repositories · arXiv:1802.07007
• Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
  17 Feb 2018 · 0 repositories · arXiv:1802.06259
• Interpretable VAEs for nonlinear group factor analysis
  17 Feb 2018 · 0 repositories · arXiv:1802.06765
• Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification
  16 Feb 2018 · 0 repositories · arXiv:1802.05998
• Explainable Prediction of Medical Codes from Clinical Text
  15 Feb 2018 · 3 repositories · arXiv:1802.05695
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute
  12 Feb 2018 · 1 repository · arXiv:1802.04346
• TSViz: Demystification of Deep Learning Models for Time-Series Analysis
  8 Feb 2018 · 1 repository · arXiv:1802.02952
• A Survey Of Methods For Explaining Black Box Models
  6 Feb 2018 · 0 repositories · arXiv:1802.01933
• Dream Formulations and Deep Neural Networks: Humanistic Themes in the Iconology of the Machine-Learned Image
  5 Feb 2018 · 0 repositories · arXiv:1802.01274
• Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
  2 Feb 2018 · 0 repositories · arXiv:1802.00745
• Interpretable Deep Convolutional Neural Networks via Meta-learning
  2 Feb 2018 · 0 repositories · arXiv:1802.00560
• Visual Interpretability for Deep Learning: a Survey
  2 Feb 2018 · 1 repository · arXiv:1802.00614
• ReNN: Rule-embedded Neural Networks
  30 Jan 2018 · 0 repositories · arXiv:1801.09856
• NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
  25 Jan 2018 · 1 repository · arXiv:1801.08297
• News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions
  22 Jan 2018 · 0 repositories · arXiv:1801.07047
• Latitude: A Model for Mixed Linear-Tropical Matrix Factorization
  18 Jan 2018 · 0 repositories · arXiv:1801.06136
• Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
  16 Jan 2018 · 0 repositories · arXiv:1801.05091
• Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach
  3 Jan 2018 · 0 repositories · arXiv:1801.01204
• Learning Covariate-Specific Embeddings with Tensor Decompositions
  1 Jan 2018 · 0 repositories
• Learning Parsimonious Deep Feed-forward Networks
  1 Jan 2018 · 0 repositories
• Parametrized Hierarchical Procedures for Neural Programming
  1 Jan 2018 · 0 repositories
• Regularization Neural Networks via Constrained Virtual Movement Field
  1 Jan 2018 · 0 repositories
• TCAV: Relative concept importance testing with Linear Concept Activation Vectors
  1 Jan 2018 · 2 repositories
• Transfer Learning on Manifolds via Learned Transport Operators
  1 Jan 2018 · 0 repositories
• Deep learning for universal linear embeddings of nonlinear dynamics
  27 Dec 2017 · 2 repositories · arXiv:1712.09707
• Inducing Interpretability in Knowledge Graph Embeddings
  10 Dec 2017 · 0 repositories · arXiv:1712.03547
• Artificial Intelligence and Statistics
  8 Dec 2017 · 0 repositories · arXiv:1712.03779
• SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
  6 Dec 2017 · 4 repositories · arXiv:1712.02034
• Interactive Reinforcement Learning for Object Grounding via Self-Talking
  2 Dec 2017 · 0 repositories · arXiv:1712.00576
• Cross-Spectral Factor Analysis
  1 Dec 2017 · 0 repositories
• Group Sparse Additive Machine
  1 Dec 2017 · 0 repositories
• State Space LSTM Models with Particle MCMC Inference
  30 Nov 2017 · 0 repositories · arXiv:1711.11179
• Contextual Outlier Interpretation
  28 Nov 2017 · 0 repositories · arXiv:1711.10589
• "I know it when I see it". Visualization and Intuitive Interpretability
  20 Nov 2017 · 0 repositories · arXiv:1711.08042
• The Promise and Peril of Human Evaluation for Model Interpretability
  20 Nov 2017 · 0 repositories · arXiv:1711.07414
• MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  18 Nov 2017 · 0 repositories · arXiv:1711.06788
• Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
  18 Nov 2017 · 0 repositories · arXiv:1711.06793
• Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
  16 Nov 2017 · 2 repositories · arXiv:1711.06178
• Interpreting Deep Visual Representations via Network Dissection
  15 Nov 2017 · 3 repositories · arXiv:1711.05611
• AOGNets: Compositional Grammatical Architectures for Deep Learning
  15 Nov 2017 · 4 repositories · arXiv:1711.05847
  Syntology official: harvested, nothing ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified (of 8 harvested samples) · 1 pointer-only (licence)
• MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
  15 Nov 2017 · 0 repositories · arXiv:1711.05407
• Understanding the Changing Roles of Scientific Publications via Citation Embeddings
  15 Nov 2017 · 0 repositories · arXiv:1711.05822
• Towards Interpretable R-CNN by Unfolding Latent Structures
  14 Nov 2017 · 1 repository · arXiv:1711.05226
• Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks
  11 Nov 2017 · 0 repositories · arXiv:1711.04154
• Distributed Bayesian Piecewise Sparse Linear Models
  7 Nov 2017 · 0 repositories · arXiv:1711.02368
• Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
  7 Nov 2017 · 1 repository · arXiv:1711.02478
• Interpretable and Pedagogical Examples
  2 Nov 2017 · 0 repositories · arXiv:1711.00694
• Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
  1 Nov 2017 · 4 repositories · arXiv:1711.00399
• Semantic Structure and Interpretability of Word Embeddings
  1 Nov 2017 · 2 repositories · arXiv:1711.00331
• Regularization approaches for support vector machines with applications to biomedical data
  29 Oct 2017 · 0 repositories · arXiv:1710.10600
• Interpretable Machine Learning for Privacy-Preserving Pervasive Systems
  23 Oct 2017 · 0 repositories · arXiv:1710.08464
• Multi-Value Rule Sets
  15 Oct 2017 · 0 repositories · arXiv:1710.05257
• When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity
  14 Oct 2017 · 0 repositories · arXiv:1710.05135
• Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions
  13 Oct 2017 · 5 repositories · arXiv:1710.04806
  Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Enhancing Interpretability of Black-box Soft-margin SVM by Integrating Data-based Priors
  9 Oct 2017 · 0 repositories · arXiv:1710.02924
• Mechanisms of dimensionality reduction and decorrelation in deep neural networks
  4 Oct 2017 · 0 repositories · arXiv:1710.01467
• Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams
  2 Oct 2017 · 1 repository · arXiv:1710.00811
• Sparse Exact PGA on Riemannian Manifolds
  1 Oct 2017 · 0 repositories
• Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding
  21 Sep 2017 · 1 repository · arXiv:1709.07124
• Interpretable Graph-Based Semi-Supervised Learning via Flows
  14 Sep 2017 · 0 repositories · arXiv:1709.04764
• Interpreting Shared Deep Learning Models via Explicable Boundary Trees
  12 Sep 2017 · 0 repositories · arXiv:1709.03730
• Machine learning modeling of superconducting critical temperature
  8 Sep 2017 · 1 repository · arXiv:1709.02727
• Estimation of a Low-rank Topic-Based Model for Information Cascades
  6 Sep 2017 · 1 repository · arXiv:1709.01919
• Estimation of interventional effects of features on prediction
  3 Sep 2017 · 1 repository · arXiv:1709.00776
• Adapting Topic Models using Lexical Associations with Tree Priors
  1 Sep 2017 · 0 repositories
• Rotated Word Vector Representations and their Interpretability
  1 Sep 2017 · 1 repository
• Interpretable Categorization of Heterogeneous Time Series Data
  30 Aug 2017 · 0 repositories · arXiv:1708.09121
• Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
  28 Aug 2017 · 0 repositories · arXiv:1708.08296
• Causally Regularized Learning with Agnostic Data Selection Bias
  22 Aug 2017 · 0 repositories · arXiv:1708.06656