Methods › Computer Vision › Image Models › Interpretability › Papers, page 8

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 8 of 14: papers 701 to 800 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.

• Structured Graph Learning Via Laplacian Spectral Constraints
  24 Sep 2019 · 2 repositories · arXiv:1909.11594
  Syntology official: not harvested · 0 ran · 1 unverified (of 1 harvested sample)
• WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
  24 Sep 2019 · 2 repositories · arXiv:1909.10801
• Deep Message Passing on Sets
  21 Sep 2019 · 0 repositories · arXiv:1909.09877
• Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias
  20 Sep 2019 · 1 repository · arXiv:1909.09285
• AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
  19 Sep 2019 · 1 repository · arXiv:1909.09251
• InterpretML: A Unified Framework for Machine Learning Interpretability
  19 Sep 2019 · 2 repositories · arXiv:1909.09223
• Semantically Interpretable Activation Maps: what-where-how explanations within CNNs
  18 Sep 2019 · 0 repositories · arXiv:1909.08442
• CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning
  16 Sep 2019 · 0 repositories · arXiv:1909.07097
• Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
  16 Sep 2019 · 0 repositories · arXiv:1909.07481
• Interpreting and Improving Adversarial Robustness of Deep Neural Networks with Neuron Sensitivity
  16 Sep 2019 · 0 repositories · arXiv:1909.06978
• Towards a Rigorous Evaluation of XAI Methods on Time Series
  16 Sep 2019 · 0 repositories · arXiv:1909.07082
• Graph-guided Architecture Search for Real-time Semantic Segmentation
  15 Sep 2019 · 1 repository · arXiv:1909.06793
• Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings
  14 Sep 2019 · 0 repositories · arXiv:1909.06563
• Distributed representation of patients and its use for medical cost prediction
  13 Sep 2019 · 0 repositories · arXiv:1909.07157
• Shapley Interpretation and Activation in Neural Networks
  13 Sep 2019 · 0 repositories · arXiv:1909.06143
• New Perspective of Interpretability of Deep Neural Networks
  12 Sep 2019 · 0 repositories · arXiv:1909.07156
• On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals
  12 Sep 2019 · 0 repositories · arXiv:1909.05568
• Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning
  12 Sep 2019 · 1 repository · arXiv:1909.05803
  Syntology official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 1 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified (of 12 harvested samples)
• How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
  11 Sep 2019 · 1 repository · arXiv:1909.05038
• Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information
  9 Sep 2019 · 0 repositories · arXiv:1909.03752
• OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression Data
  9 Sep 2019 · 1 repository · arXiv:1909.04169
• Relationships from Entity Stream
  7 Sep 2019 · 1 repository · arXiv:1909.03315
• DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
  6 Sep 2019 · 1 repository · arXiv:1909.02982
• Master your Metrics with Calibration
  6 Sep 2019 · 1 repository · arXiv:1909.02827
• Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
  3 Sep 2019 · 1 repository · arXiv:1909.01498
• Discriminative Topic Modeling with Logistic LDA
  3 Sep 2019 · 1 repository · arXiv:1909.01436
• Interpretable Word Embeddings via Informative Priors
  3 Sep 2019 · 0 repositories · arXiv:1909.01459
• Higher-order Comparisons of Sentence Encoder Representations
  1 Sep 2019 · 0 repositories · arXiv:1909.00303
• Towards Understanding Neural Machine Translation with Word Importance
  1 Sep 2019 · 0 repositories · arXiv:1909.00326
• Rethinking travel behavior modeling representations through embeddings
  31 Aug 2019 · 2 repositories · arXiv:1909.00154
• Adaptively Sparse Transformers
  30 Aug 2019 · 3 repositories · arXiv:1909.00015
  Syntology official (archive's flag): 2 ran · 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)
• Adversarial Training Methods for Network Embedding
  30 Aug 2019 · 1 repository · arXiv:1908.11514
• Variational Denoising Network: Toward Blind Noise Modeling and Removal
  29 Aug 2019 · 2 repositories · arXiv:1908.11314
• Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
  27 Aug 2019 · 0 repositories · arXiv:1908.10489
• Heuristic design of fuzzy inference systems: A review of three decades of research
  27 Aug 2019 · 0 repositories · arXiv:1908.10122
• Gated Convolutional Networks with Hybrid Connectivity for Image Classification
  26 Aug 2019 · 1 repository · arXiv:1908.09699
  Syntology official (archive's flag): 3 ran · 4 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; 4 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples) · 5 pointer-only (licence)
• Theory and Evaluation Metrics for Learning Disentangled Representations
  26 Aug 2019 · 2 repositories · arXiv:1908.09961
• Parkinson's Disease Recognition Using SPECT Image and Interpretable AI: A Tutorial
  23 Aug 2019 · 0 repositories · arXiv:1908.11199
• Fairness in Deep Learning: A Computational Perspective
  23 Aug 2019 · 0 repositories · arXiv:1908.08843
• Neural Cognitive Diagnosis for Intelligent Education Systems
  23 Aug 2019 · 2 repositories · arXiv:1908.08733
• Preventing the Generation of Inconsistent Sets of Classification Rules
  23 Aug 2019 · 0 repositories · arXiv:1908.09652
• DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums
  22 Aug 2019 · 0 repositories · arXiv:1908.08497
• Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph
  22 Aug 2019 · 1 repository
• MoEL: Mixture of Empathetic Listeners
  21 Aug 2019 · 5 repositories · arXiv:1908.07687
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 8 harvested samples)
• Saccader: Improving Accuracy of Hard Attention Models for Vision
  20 Aug 2019 · 2 repositories · arXiv:1908.07644
• TabNet: Attentive Interpretable Tabular Learning
  20 Aug 2019 · 19 repositories · arXiv:1908.07442
  Syntology community repositories only · 13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (of 17 harvested samples) · 1 pointer-only (licence)
• Deep neural network or dermatologist?
  19 Aug 2019 · 1 repository · arXiv:1908.06612
• SIRUS: Stable and Interpretable RUle Set for Classification
  19 Aug 2019 · 0 repositories · arXiv:1908.06852
• Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics
  17 Aug 2019 · 0 repositories · arXiv:1908.08005
• HOTVis: Higher-Order Time-Aware Visualisation of Dynamic Graphs
  16 Aug 2019 · 0 repositories · arXiv:1908.05976
• Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
  15 Aug 2019 · 0 repositories · arXiv:1908.05780
• Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
  14 Aug 2019 · 0 repositories · arXiv:1908.05254
• Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders
  13 Aug 2019 · 0 repositories · arXiv:1908.04538
• Regional Tree Regularization for Interpretability in Black Box Models
  13 Aug 2019 · 0 repositories · arXiv:1908.04494
• Scalable Explanation of Inferences on Large Graphs
  13 Aug 2019 · 0 repositories · arXiv:1908.06482
• DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
  11 Aug 2019 · 0 repositories · arXiv:1908.03918
• LoRMIkA: Local rule-based model interpretability with k-optimal associations
  11 Aug 2019 · 0 repositories · arXiv:1908.03840
• Interpretability Analysis of Heartbeat Classification Based on Heartbeat Activity’s Global Sequence Features and BiLSTM-Attention Neural Network
  7 Aug 2019 · 0 repositories
• Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
  6 Aug 2019 · 1 repository · arXiv:1908.04351
• MMF: Attribute Interpretable Collaborative Filtering
  3 Aug 2019 · 0 repositories · arXiv:1908.01099
• Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
  2 Aug 2019 · 4 repositories · arXiv:1908.00734
• Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
  2 Aug 2019 · 0 repositories · arXiv:1908.00669
• RuleKit: A Comprehensive Suite for Rule-Based Learning
  2 Aug 2019 · 1 repository · arXiv:1908.01031
• GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
  31 Jul 2019 · 1 repository · arXiv:1908.00059
  Syntology official (archive's flag): 1 ran · 2 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; 2 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 1 pointer-only (licence)
• Learned Collaborative Stereo Refinement
  31 Jul 2019 · 0 repositories · arXiv:1907.13391
• Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
  30 Jul 2019 · 1 repository · arXiv:1907.13242
• A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
  29 Jul 2019 · 1 repository · arXiv:1907.12596
• AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks
  24 Jul 2019 · 0 repositories · arXiv:1908.02646
• Benchmarking Attribution Methods with Relative Feature Importance
  23 Jul 2019 · 2 repositories · arXiv:1907.09701
  Syntology official (archive's flag): 2 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 6 harvested samples)
• Interpretable and Steerable Sequence Learning via Prototypes
  23 Jul 2019 · 2 repositories · arXiv:1907.09728
• Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space
  22 Jul 2019 · 1 repository · arXiv:1907.09607
• The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations
  22 Jul 2019 · 1 repository · arXiv:1907.09294
• Detection of Real-world Driving-induced Affective State Using Physiological Signals and Multi-view Multi-task Machine Learning
  19 Jul 2019 · 0 repositories · arXiv:1907.09929
• Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications
  19 Jul 2019 · 2 repositories · arXiv:1907.08325
• A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
  17 Jul 2019 · 0 repositories · arXiv:1907.07374
• An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability
  17 Jul 2019 · 0 repositories · arXiv:1907.07713
• Learning Variable Impedance Control for Contact Sensitive Tasks
  17 Jul 2019 · 0 repositories · arXiv:1907.07500
• A study on the Interpretability of Neural Retrieval Models using DeepSHAP
  15 Jul 2019 · 0 repositories · arXiv:1907.06484
• Deep network as memory space: complexity, generalization, disentangled representation and interpretability
  12 Jul 2019 · 0 repositories · arXiv:1907.06572
• Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
  11 Jul 2019 · 0 repositories · arXiv:1907.05146
• PreCall: A Visual Interface for Threshold Optimization in ML Model Selection
  11 Jul 2019 · 0 repositories · arXiv:1907.05131
• On the Semantic Interpretability of Artificial Intelligence Models
  9 Jul 2019 · 0 repositories · arXiv:1907.04105
• ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
  9 Jul 2019 · 2 repositories · arXiv:1907.05339
• Optimal Explanations of Linear Models
  8 Jul 2019 · 0 repositories · arXiv:1907.04669
• The Price of Interpretability
  8 Jul 2019 · 0 repositories · arXiv:1907.03419
• A Human-Grounded Evaluation of SHAP for Alert Processing
  7 Jul 2019 · 0 repositories · arXiv:1907.03324
• Visualization of Emergency Department Clinical Data for Interpretable Patient Phenotyping
  5 Jul 2019 · 1 repository · arXiv:1907.11039
• On Explaining Machine Learning Models by Evolving Crucial and Compact Features
  4 Jul 2019 · 0 repositories · arXiv:1907.02260
• Encoding high-cardinality string categorical variables
  3 Jul 2019 · 1 repository · arXiv:1907.01860
  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, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Generalized Principal Component Analysis
  3 Jul 2019 · 0 repositories · arXiv:1907.02647
• Interpretable Counterfactual Explanations Guided by Prototypes
  3 Jul 2019 · 1 repository · arXiv:1907.02584
• Towards Interpretable Deep Extreme Multi-label Learning
  3 Jul 2019 · 0 repositories · arXiv:1907.01723
• Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy
  2 Jul 2019 · 1 repository · arXiv:1907.01180
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection
  1 Jul 2019 · 1 repository
• Neural Logic Rule Layers
  1 Jul 2019 · 1 repository · arXiv:1907.00878
• Dissecting Pruned Neural Networks
  29 Jun 2019 · 0 repositories · arXiv:1907.00262
• Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
  28 Jun 2019 · 1 repository · arXiv:1907.00058
• Defending Adversarial Attacks by Correcting logits
  26 Jun 2019 · 0 repositories · arXiv:1906.10973
• Hierarchical Optimal Transport for Document Representation
  26 Jun 2019 · 1 repository · arXiv:1906.10827
  Syntology 2 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; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples)
• Interpretable Question Answering on Knowledge Bases and Text
  26 Jun 2019 · 0 repositories · arXiv:1906.10924