Methods › Computer Vision › Image Models › Interpretability › Papers, page 13
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 13 of 14: papers 1,201 to 1,300 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.
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Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples 18 Aug 2017 · 0 repositories · arXiv:1708.05493
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Warp: a method for neural network interpretability applied to gene expression profiles 16 Aug 2017 · 0 repositories · arXiv:1708.04988
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Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues 12 Aug 2017 · 1 repository · arXiv:1708.03798
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SESA: Supervised Explicit Semantic Analysis 10 Aug 2017 · 0 repositories · arXiv:1708.03246
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Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing 6 Aug 2017 · 0 repositories · arXiv:1708.01947
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A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference 4 Aug 2017 · 0 repositories · arXiv:1708.01519
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iSurvive: An Interpretable, Event-time Prediction Model for mHealth 1 Aug 2017 · 0 repositories
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General Latent Feature Modeling for Data Exploration Tasks 26 Jul 2017 · 0 repositories · arXiv:1707.08352
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Spherical Paragraph Model 18 Jul 2017 · 0 repositories · arXiv:1707.05635
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Rotations and Interpretability of Word Embeddings: the Case of the Russian Language 14 Jul 2017 · 0 repositories · arXiv:1707.04662
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Knowledge Acquisition for Visual Question Answering via Iterative Querying 1 Jul 2017 · 0 repositories
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SAM: Semantic Attribute Modulation for Language Modeling and Style Variation 1 Jul 2017 · 0 repositories · arXiv:1707.00117
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An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions 28 Jun 2017 · 0 repositories · arXiv:1706.09090
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Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study 26 Jun 2017 · 0 repositories · arXiv:1706.08606
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Deep Generative Models for Relational Data with Side Information 16 Jun 2017 · 0 repositories · arXiv:1706.05136
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General Latent Feature Models for Heterogeneous Datasets 12 Jun 2017 · 1 repository · arXiv:1706.03779
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Topic supervised non-negative matrix factorization 12 Jun 2017 · 1 repository · arXiv:1706.05084
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Unsupervised Neural-Symbolic Integration 6 Jun 2017 · 0 repositories · arXiv:1706.01991
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Multiple Kernel Learning and Automatic Subspace Relevance Determination for High-dimensional Neuroimaging Data 2 Jun 2017 · 0 repositories · arXiv:1706.00856
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A Regularized Framework for Sparse and Structured Neural Attention 22 May 2017 · 3 repositories · arXiv:1705.07704
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Mixed Membership Word Embeddings for Computational Social Science 20 May 2017 · 0 repositories · arXiv:1705.07368
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Structural Compression of Convolutional Neural Networks 20 May 2017 · 0 repositories · arXiv:1705.07356
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GP CaKe: Effective brain connectivity with causal kernels 16 May 2017 · 0 repositories · arXiv:1705.05603
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Making Neural Programming Architectures Generalize via Recursion 21 Apr 2017 · 0 repositories · arXiv:1704.06611
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Network Dissection: Quantifying Interpretability of Deep Visual Representations 19 Apr 2017 · 1 repository · arXiv:1704.05796
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NEXT: A Neural Network Framework for Next POI Recommendation 15 Apr 2017 · 0 repositories · arXiv:1704.04576
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Learning Important Features Through Propagating Activation Differences 10 Apr 2017 · 14 repositories · arXiv:1704.02685Syntology 8 ran (of which 2 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 7 unverified (of 15 harvested samples) · 2 pointer-only (licence)
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Dictionary-based Tensor Canonical Polyadic Decomposition 3 Apr 2017 · 0 repositories · arXiv:1704.00541
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Convolutional Neural Networks for Authorship Attribution of Short Texts 1 Apr 2017 · 0 repositories
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Comparing Rule-Based and Deep Learning Models for Patient Phenotyping 25 Mar 2017 · 0 repositories · arXiv:1703.08705
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Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks 24 Mar 2017 · 0 repositories · arXiv:1703.08524
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Streaming Weak Submodularity: Interpreting Neural Networks on the Fly 8 Mar 2017 · 1 repository · arXiv:1703.02647
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Towards A Rigorous Science of Interpretable Machine Learning 28 Feb 2017 · 0 repositories · arXiv:1702.08608
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GapTV: Accurate and Interpretable Low-Dimensional Regression and Classification 23 Feb 2017 · 0 repositories · arXiv:1702.07405
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DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets 22 Jan 2017 · 0 repositories · arXiv:1701.06109
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Rare Disease Physician Targeting: A Factor Graph Approach 19 Jan 2017 · 0 repositories · arXiv:1701.05644
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Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity 16 Jan 2017 · 0 repositories · arXiv:1701.04273
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ggRandomForests: Exploring Random Forest Survival 28 Dec 2016 · 0 repositories · arXiv:1612.08974
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Generalized Optimal Matching Methods for Causal Inference 26 Dec 2016 · 0 repositories · arXiv:1612.08321
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Optimal Generalized Decision Trees via Integer Programming 10 Dec 2016 · 0 repositories · arXiv:1612.03225
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Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks 2 Dec 2016 · 1 repository · arXiv:1612.00542
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Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs 1 Dec 2016 · 0 repositories
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Examples are not enough, learn to criticize! Criticism for Interpretability 1 Dec 2016 · 0 repositories
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Learning Deep Parsimonious Representations 1 Dec 2016 · 1 repository
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Temporal Attention-Gated Model for Robust Sequence Classification 1 Dec 2016 · 1 repository · arXiv:1612.00385
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Input Switched Affine Networks: An RNN Architecture Designed for Interpretability 28 Nov 2016 · 0 repositories · arXiv:1611.09434
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Programs as Black-Box Explanations 22 Nov 2016 · 0 repositories · arXiv:1611.07579
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Tree Space Prototypes: Another Look at Making Tree Ensembles Interpretable 22 Nov 2016 · 2 repositories · arXiv:1611.07115
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TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning 22 Nov 2016 · 0 repositories · arXiv:1611.07429
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Interpreting Finite Automata for Sequential Data 21 Nov 2016 · 0 repositories · arXiv:1611.07100
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MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power 21 Nov 2016 · 0 repositories · arXiv:1611.06800
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GENESIM: genetic extraction of a single, interpretable model 17 Nov 2016 · 1 repository · arXiv:1611.05722
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Iterative Orthogonal Feature Projection for Diagnosing Bias in Black-Box Models 15 Nov 2016 · 1 repository · arXiv:1611.04967
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Sensitivity Maps of the Hilbert-Schmidt Independence Criterion 2 Nov 2016 · 0 repositories · arXiv:1611.00555
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DPPred: An Effective Prediction Framework with Concise Discriminative Patterns 31 Oct 2016 · 0 repositories · arXiv:1610.09778
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On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products 5 Oct 2016 · 0 repositories · arXiv:1610.01256
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Real Time Fine-Grained Categorization with Accuracy and Interpretability 4 Oct 2016 · 0 repositories · arXiv:1610.00824
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Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery 21 Sep 2016 · 0 repositories · arXiv:1609.06480
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Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis 17 Sep 2016 · 0 repositories · arXiv:1609.05294
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Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty 6 Sep 2016 · 0 repositories · arXiv:1609.01423
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A Review of Multivariate Distributions for Count Data Derived from the Poisson Distribution 31 Aug 2016 · 1 repository · arXiv:1609.00066
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RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism 19 Aug 2016 · 1 repository · arXiv:1608.05745
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An Analysis of Lemmatization on Topic Models of Morphologically Rich Language 13 Aug 2016 · 0 repositories · arXiv:1608.03995
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Sparse additive Gaussian process with soft interactions 9 Jul 2016 · 0 repositories · arXiv:1607.02670
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SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction 30 Jun 2016 · 0 repositories · arXiv:1606.09604
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Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach 29 Jun 2016 · 1 repository · arXiv:1606.09066Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Interpreting extracted rules from ensemble of trees: Application to computer-aided diagnosis of breast MRI 27 Jun 2016 · 0 repositories · arXiv:1606.08288
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Interpretability in Linear Brain Decoding 17 Jun 2016 · 0 repositories · arXiv:1606.05672
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Making Tree Ensembles Interpretable 17 Jun 2016 · 0 repositories · arXiv:1606.05390
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Universal, Unsupervised (Rule-Based), Uncovered Sentiment Analysis 17 Jun 2016 · 0 repositories · arXiv:1606.05545
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Using Visual Analytics to Interpret Predictive Machine Learning Models 17 Jun 2016 · 0 repositories · arXiv:1606.05685
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Model-Agnostic Interpretability of Machine Learning 16 Jun 2016 · 0 repositories · arXiv:1606.05386
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Conditional Generation and Snapshot Learning in Neural Dialogue Systems 10 Jun 2016 · 0 repositories · arXiv:1606.03352
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The Mythos of Model Interpretability 10 Jun 2016 · 2 repositories · arXiv:1606.03490
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Engineering Deep Representations for Modeling Aesthetic Perception 25 May 2016 · 0 repositories · arXiv:1605.07699
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Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors 16 May 2016 · 0 repositories · arXiv:1605.04934
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Causal Discovery for Manufacturing Domains 13 May 2016 · 0 repositories · arXiv:1605.04056
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Not Just a Black Box: Learning Important Features Through Propagating Activation Differences 5 May 2016 · 1 repository · arXiv:1605.01713
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Best of Both Worlds: Making Word Sense Embeddings Interpretable 1 May 2016 · 0 repositories
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Interpretable Deep Neural Networks for Single-Trial EEG Classification 27 Apr 2016 · 0 repositories · arXiv:1604.08201
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Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets 14 Apr 2016 · 0 repositories · arXiv:1604.04026
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What do different evaluation metrics tell us about saliency models? 12 Apr 2016 · 1 repository · arXiv:1604.03605
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Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification 29 Mar 2016 · 1 repository · arXiv:1603.08704
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How deep is knowledge tracing? 14 Mar 2016 · 0 repositories · arXiv:1604.02416
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A Subsequence Interleaving Model for Sequential Pattern Mining 16 Feb 2016 · 1 repository · arXiv:1602.05012
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Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks 11 Feb 2016 · 0 repositories · arXiv:1602.03616
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High-Dimensional Regularized Discriminant Analysis 3 Feb 2016 · 1 repository · arXiv:1602.01182
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Investigating echo state networks dynamics by means of recurrence analysis 26 Jan 2016 · 0 repositories · arXiv:1601.07381
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Recommender systems inspired by the structure of quantum theory 22 Jan 2016 · 0 repositories · arXiv:1601.06035
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Engineering Safety in Machine Learning 16 Jan 2016 · 0 repositories · arXiv:1601.04126
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Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization 23 Dec 2015 · 0 repositories · arXiv:1512.07336
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Sparse Generalized Principal Component Analysis for Large-scale Applications beyond Gaussianity 12 Dec 2015 · 0 repositories · arXiv:1512.03883
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Explaining NonLinear Classification Decisions with Deep Taylor Decomposition 8 Dec 2015 · 4 repositories · arXiv:1512.02479Syntology 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
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Learning Discrete Bayesian Networks from Continuous Data 8 Dec 2015 · 1 repository · arXiv:1512.02406
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Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction 1 Dec 2015 · 0 repositories
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On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization 23 Nov 2015 · 0 repositories · arXiv:1511.07110
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Expressive recommender systems through normalized nonnegative models 15 Nov 2015 · 0 repositories · arXiv:1511.04775
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A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media 13 Nov 2015 · 0 repositories · arXiv:1511.04145
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Learning Nonparametric Forest Graphical Models with Prior Information 12 Nov 2015 · 0 repositories · arXiv:1511.03796
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Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation 28 Oct 2015 · 0 repositories · arXiv:1510.08291