Methods › Computer Vision › Image Models › Interpretability › Papers, page 10
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 10 of 14: papers 901 to 1,000 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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Physical Symmetries Embedded in Neural Networks 18 Apr 2019 · 0 repositories · arXiv:1904.08991
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DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis 16 Apr 2019 · 0 repositories · arXiv:1904.11008
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Counterfactual Visual Explanations 16 Apr 2019 · 1 repository · arXiv:1904.07451
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Deep Iterative Surface Normal Estimation 15 Apr 2019 · 2 repositories · arXiv:1904.07172
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Deep Neural Network Ensembles 11 Apr 2019 · 0 repositories · arXiv:1904.05488
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Factor Graph Attention 11 Apr 2019 · 1 repository · arXiv:1904.05880
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An Analysis of Attention over Clinical Notes for Predictive Tasks 5 Apr 2019 · 0 repositories · arXiv:1904.03244
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An Attentive Survey of Attention Models 5 Apr 2019 · 0 repositories · arXiv:1904.02874
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Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks 5 Apr 2019 · 0 repositories · arXiv:1904.03127
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A Categorisation of Post-hoc Explanations for Predictive Models 4 Apr 2019 · 0 repositories · arXiv:1904.02495
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Open Issues in Combating Fake News: Interpretability as an Opportunity 4 Apr 2019 · 0 repositories · arXiv:1904.03016
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Interpreting Adversarial Examples by Activation Promotion and Suppression 3 Apr 2019 · 0 repositories · arXiv:1904.02057
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A PCA-like Autoencoder 2 Apr 2019 · 1 repository · arXiv:1904.01277
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Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs 1 Apr 2019 · 1 repository · arXiv:1904.00676
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Understanding Neural Architecture Search Techniques 31 Mar 2019 · 0 repositories · arXiv:1904.00438
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Interpreting Black Box Models via Hypothesis Testing 29 Mar 2019 · 1 repository · arXiv:1904.00045
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Re-Ranking Words to Improve Interpretability of Automatically Generated Topics 29 Mar 2019 · 1 repository · arXiv:1903.12542
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Bridging Adversarial Robustness and Gradient Interpretability 27 Mar 2019 · 1 repository · arXiv:1903.11626
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Do Not Trust Additive Explanations 27 Mar 2019 · 2 repositories · arXiv:1903.11420Syntology community repositories only · 3 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; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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On Attribution of Recurrent Neural Network Predictions via Additive Decomposition 27 Mar 2019 · 0 repositories · arXiv:1903.11245
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DSL: Discriminative Subgraph Learning via Sparse Self-Representation 24 Mar 2019 · 0 repositories · arXiv:1904.00791
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Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning 22 Mar 2019 · 2 repositories · arXiv:1903.09338Syntology 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) · 1 unverified (of 4 harvested samples)
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Biasing MCTS with Features for General Games 21 Mar 2019 · 1 repository · arXiv:1903.08942
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Random Pairwise Shapelets Forest 19 Mar 2019 · 1 repository · arXiv:1903.07799
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Deep Fundamental Factor Models 18 Mar 2019 · 1 repository · arXiv:1903.07677
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Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness 14 Mar 2019 · 0 repositories · arXiv:1903.05965
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Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation 14 Mar 2019 · 0 repositories · arXiv:1903.06133
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Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat 14 Mar 2019 · 0 repositories · arXiv:1903.06581
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Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases 6 Mar 2019 · 2 repositories · arXiv:1903.02188Syntology official (archive's flag): 1 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 11 harvested samples)
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Convex Covariate Clustering for Classification 5 Mar 2019 · 1 repository · arXiv:1903.01680
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Collaborative Spatio-temporal Feature Learning for Video Action Recognition 4 Mar 2019 · 1 repository · arXiv:1903.01197
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Selective Sensor Fusion for Neural Visual-Inertial Odometry 4 Mar 2019 · 0 repositories · arXiv:1903.01534
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A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights 28 Feb 2019 · 0 repositories · arXiv:1904.11367
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Interpretable Structure-aware Document Encoders with Hierarchical Attention 26 Feb 2019 · 0 repositories · arXiv:1902.09713
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Adversarial attacks hidden in plain sight 25 Feb 2019 · 1 repository · arXiv:1902.09286
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CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems 25 Feb 2019 · 1 repository · arXiv:1902.09357
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Correspondence Analysis Using Neural Networks 21 Feb 2019 · 2 repositories · arXiv:1902.07828
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Explaining a black-box using Deep Variational Information Bottleneck Approach 19 Feb 2019 · 3 repositories · arXiv:1902.06918Syntology community repositories only · 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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ProtoAttend: Attention-Based Prototypical Learning 17 Feb 2019 · 4 repositories · arXiv:1902.06292Syntology 3 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; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 1 pointer-only (licence)
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LS-Tree: Model Interpretation When the Data Are Linguistic 11 Feb 2019 · 0 repositories · arXiv:1902.04187
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Deep Algorithm Unrolling for Blind Image Deblurring 9 Feb 2019 · 0 repositories · arXiv:1902.03493
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Assessing the Local Interpretability of Machine Learning Models 9 Feb 2019 · 0 repositories · arXiv:1902.03501
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Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach 8 Feb 2019 · 0 repositories · arXiv:1902.02904
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Unsupervised Data Uncertainty Learning in Visual Retrieval Systems 7 Feb 2019 · 0 repositories · arXiv:1902.02586
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Active Image Synthesis for Efficient Labeling 5 Feb 2019 · 0 repositories · arXiv:1902.01522
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Spatial-Temporal-Textual Point Processes for Crime Linkage Detection 1 Feb 2019 · 0 repositories · arXiv:1902.00440
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End-to-end Lane Detection through Differentiable Least-Squares Fitting 1 Feb 2019 · 1 repository · arXiv:1902.00293Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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An Evaluation of the Human-Interpretability of Explanation 31 Jan 2019 · 0 repositories · arXiv:1902.00006
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Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities 29 Jan 2019 · 2 repositories · arXiv:1901.10526Syntology official (archive's flag): 2 ran · 2 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; 1 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Rank-one Convexification for Sparse Regression 29 Jan 2019 · 0 repositories · arXiv:1901.10334
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Bridging the Gap Between Computational Photography and Visual Recognition 28 Jan 2019 · 0 repositories · arXiv:1901.09482
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Interpreting Deep Neural Networks Through Variable Importance 28 Jan 2019 · 1 repository · arXiv:1901.09839
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Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning 25 Jan 2019 · 0 repositories · arXiv:1901.08813
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State-Regularized Recurrent Neural Networks 25 Jan 2019 · 0 repositories · arXiv:1901.08817
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Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples 25 Jan 2019 · 0 repositories · arXiv:1901.09035
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Effectiveness of Tree-based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning 23 Jan 2019 · 2 repositories · arXiv:1901.08930Syntology official: harvested, nothing ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 19 unverified (of 21 harvested samples)
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Composition and decomposition of GANs 23 Jan 2019 · 0 repositories · arXiv:1901.07667
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Unsupervised Learning of Neural Networks to Explain Neural Networks (extended abstract) 21 Jan 2019 · 0 repositories · arXiv:1901.07538
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Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model 20 Jan 2019 · 0 repositories · arXiv:1901.11493
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Quantifying Interpretability and Trust in Machine Learning Systems 20 Jan 2019 · 1 repository · arXiv:1901.08558
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Closed-form Expressions for Maximum Mean Discrepancy with Applications to Wasserstein Auto-Encoders 10 Jan 2019 · 0 repositories · arXiv:1901.03227
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Interpretable BoW Networks for Adversarial Example Detection 8 Jan 2019 · 0 repositories · arXiv:1901.02229
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Understanding the (un)interpretability of natural image distributions using generative models 6 Jan 2019 · 0 repositories · arXiv:1901.01499
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Adaptive Locality Preserving Regression 3 Jan 2019 · 0 repositories · arXiv:1901.00563
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Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph 31 Dec 2018 · 1 repository · arXiv:1812.11709
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Improving the Interpretability of Deep Neural Networks with Knowledge Distillation 28 Dec 2018 · 0 repositories · arXiv:1812.10924
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Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering 23 Dec 2018 · 0 repositories · arXiv:1812.09681
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Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach 21 Dec 2018 · 0 repositories · arXiv:1812.08947
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What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models 21 Dec 2018 · 1 repository · arXiv:1812.09355
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Credibility evaluation of income data with hierarchical correlation reconstruction 19 Dec 2018 · 0 repositories · arXiv:1812.08040
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Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning 19 Dec 2018 · 1 repository · arXiv:1812.07895
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Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images 19 Dec 2018 · 1 repository · arXiv:1812.07832
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Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics 11 Dec 2018 · 1 repository · arXiv:1812.04604
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Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction 6 Dec 2018 · 0 repositories · arXiv:1812.02852
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High-Quality Face Capture Using Anatomical Muscles 6 Dec 2018 · 0 repositories · arXiv:1812.02836
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Pathological Evidence Exploration in Deep Retinal Image Diagnosis 6 Dec 2018 · 1 repository · arXiv:1812.02640
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Interpretable Deep Learning under Fire 3 Dec 2018 · 0 repositories · arXiv:1812.00891
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Learning filter widths of spectral decompositions with wavelets 1 Dec 2018 · 1 repository
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Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling 1 Dec 2018 · 1 repository
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Towards Robust Interpretability with Self-Explaining Neural Networks 1 Dec 2018 · 2 repositories
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Analyzing Federated Learning through an Adversarial Lens 29 Nov 2018 · 2 repositories · arXiv:1811.12470
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Networks for Nonlinear Diffusion Problems in Imaging 29 Nov 2018 · 0 repositories · arXiv:1811.12084
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Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling 29 Nov 2018 · 1 repository · arXiv:1811.12386Syntology official (archive's flag): 1 ran · 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)
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An Adversarial Approach for Explainable AI in Intrusion Detection Systems 28 Nov 2018 · 0 repositories · arXiv:1811.11705
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You Look Twice: GaterNet for Dynamic Filter Selection in CNNs 27 Nov 2018 · 0 repositories · arXiv:1811.11205
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What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems 27 Nov 2018 · 0 repositories · arXiv:1811.10799
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Contextualized Non-local Neural Networks for Sequence Learning 21 Nov 2018 · 0 repositories · arXiv:1811.08600
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How to improve the interpretability of kernel learning 21 Nov 2018 · 0 repositories · arXiv:1811.10469
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Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks 20 Nov 2018 · 3 repositories · arXiv:1811.08425Syntology official (archive's flag): 1 ran · 7 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 2 honoured, 1 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 3 pointer-only (licence)
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How far from automatically interpreting deep learning 19 Nov 2018 · 0 repositories · arXiv:1811.07747
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Regularized adversarial examples for model interpretability 18 Nov 2018 · 0 repositories · arXiv:1811.07311
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PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks 16 Nov 2018 · 1 repository · arXiv:1811.06802
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Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders 12 Nov 2018 · 0 repositories · arXiv:1811.04576
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Deep Weighted Averaging Classifiers 6 Nov 2018 · 2 repositories · arXiv:1811.02579
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Explaining Explanations in AI 4 Nov 2018 · 0 repositories · arXiv:1811.01439
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Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models 4 Nov 2018 · 0 repositories · arXiv:1811.01315
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Unsupervised Learning of Interpretable Dialog Models 2 Nov 2018 · 0 repositories · arXiv:1811.01012
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AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer 1 Nov 2018 · 0 repositories
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Data2Text Studio: Automated Text Generation from Structured Data 1 Nov 2018 · 0 repositories
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Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures 1 Nov 2018 · 0 repositories