Methods › Computer Vision › Image Models › Interpretability › Papers, page 9

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 9 of 14: papers 801 to 900 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.

• A unified sparse optimization framework to learn parsimonious physics-informed models from data
  25 Jun 2019 · 4 repositories · arXiv:1906.10612
  Syntology community repositories only · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 11 harvested samples)
• Improving performance of deep learning models with axiomatic attribution priors and expected gradients
  25 Jun 2019 · 3 repositories · arXiv:1906.10670
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 9 harvested samples)
• DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems
  24 Jun 2019 · 1 repository · arXiv:1906.10263
  Syntology official (archive's flag): 3 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) · 0 unverified (of 3 harvested samples)
• Remote Sensor Design for Visual Recognition with Convolutional Neural Networks
  24 Jun 2019 · 1 repository · arXiv:1906.09677
• Model Bridging: Connection between Simulation Model and Neural Network
  22 Jun 2019 · 0 repositories · arXiv:1906.09391
• Generating Counterfactual and Contrastive Explanations using SHAP
  21 Jun 2019 · 0 repositories · arXiv:1906.09293
• Understanding More about Human and Machine Attention in Deep Neural Networks
  20 Jun 2019 · 0 repositories · arXiv:1906.08764
• Adversarial training approach for local data debiasing
  19 Jun 2019 · 0 repositories · arXiv:1906.07858
• Model Explanations under Calibration
  18 Jun 2019 · 1 repository · arXiv:1906.07622
• Learning Interpretable Models Using Uncertainty Oracles
  17 Jun 2019 · 0 repositories · arXiv:1906.06852
• Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
  16 Jun 2019 · 1 repository · arXiv:1906.06719
• Imitation Learning of Neural Spatio-Temporal Point Processes
  13 Jun 2019 · 1 repository · arXiv:1906.05467
• Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
  12 Jun 2019 · 1 repository · arXiv:1906.05237
• Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
  12 Jun 2019 · 0 repositories · arXiv:1906.05165
• Issues with post-hoc counterfactual explanations: a discussion
  11 Jun 2019 · 0 repositories · arXiv:1906.04774
• Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
  10 Jun 2019 · 0 repositories · arXiv:1906.03922
• Benchmarking Minimax Linkage
  7 Jun 2019 · 1 repository · arXiv:1906.03336
• EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction
  7 Jun 2019 · 1 repository · arXiv:1906.05658
• An Imitation Learning Approach to Unsupervised Parsing
  5 Jun 2019 · 1 repository · arXiv:1906.02276
• Enumeration of Distinct Support Vectors for Interactive Decision Making
  5 Jun 2019 · 0 repositories · arXiv:1906.01876
• A Novel Hyperparameter-free Approach to Decision Tree Construction that Avoids Overfitting by Design
  4 Jun 2019 · 0 repositories · arXiv:1906.01246
• A hybrid machine learning framework for analyzing human decision making through learning preferences
  4 Jun 2019 · 0 repositories · arXiv:1906.01233
• Interpretable Neural Network Decoupling
  4 Jun 2019 · 0 repositories · arXiv:1906.01166
• Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning
  3 Jun 2019 · 0 repositories · arXiv:1906.00537
• Kandinsky Patterns
  3 Jun 2019 · 1 repository · arXiv:1906.00657
• Relation Embedding with Dihedral Group in Knowledge Graph
  3 Jun 2019 · 0 repositories · arXiv:1906.00687
• Transforming Complex Sentences into a Semantic Hierarchy
  3 Jun 2019 · 1 repository · arXiv:1906.01038
• Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems
  1 Jun 2019 · 0 repositories · arXiv:1906.00156
• Collaborative Spatiotemporal Feature Learning for Video Action Recognition
  1 Jun 2019 · 1 repository
• Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
  1 Jun 2019 · 0 repositories
• Learning Unsupervised Video Object Segmentation Through Visual Attention
  1 Jun 2019 · 1 repository
• Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms
  1 Jun 2019 · 0 repositories
• What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
  1 Jun 2019 · 0 repositories
• L0 Regularization Based Neural Network Design and Compression
  31 May 2019 · 0 repositories · arXiv:1905.13652
• Regularizing Black-box Models for Improved Interpretability (HILL 2019 Version)
  31 May 2019 · 0 repositories · arXiv:1906.01431
• Interpretable PID Parameter Tuning for Control Engineering using General Dynamic Neural Networks: An Extensive Comparison
  30 May 2019 · 0 repositories · arXiv:1905.13268
• Interpretable Adversarial Training for Text
  30 May 2019 · 0 repositories · arXiv:1905.12864
• MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms
  30 May 2019 · 0 repositories · arXiv:1905.13319
• Leveraging Latent Features for Local Explanations
  29 May 2019 · 2 repositories · arXiv:1905.12698
• Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
  28 May 2019 · 1 repository · arXiv:1905.12090
  Syntology 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)
• Adversarial Robustness Guarantees for Classification with Gaussian Processes
  28 May 2019 · 1 repository · arXiv:1905.11876
• Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
  28 May 2019 · 0 repositories · arXiv:1905.11837
• Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling
  28 May 2019 · 0 repositories · arXiv:1905.11577
• Analyzing the Interpretability Robustness of Self-Explaining Models
  27 May 2019 · 0 repositories · arXiv:1905.12429
• Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction
  27 May 2019 · 0 repositories · arXiv:1905.11474
• Interpretable deep Gaussian processes with moments
  27 May 2019 · 0 repositories · arXiv:1905.10963
• MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
  27 May 2019 · 0 repositories · arXiv:1905.11013
• MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
  27 May 2019 · 1 repository · arXiv:1905.11333
• Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting
  27 May 2019 · 0 repositories · arXiv:1905.11395
• Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
  27 May 2019 · 1 repository · arXiv:1905.11169
  Syntology 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 7 unverified (of 13 harvested samples)
• Deep-gKnock: nonlinear group-feature selection with deep neural network
  24 May 2019 · 0 repositories · arXiv:1905.10013
• Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk
  23 May 2019 · 0 repositories · arXiv:1905.09865
• Learning spectrograms with convolutional spectral kernels
  23 May 2019 · 0 repositories · arXiv:1905.09917
• Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces
  23 May 2019 · 1 repository · arXiv:1905.09449
• Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
  23 May 2019 · 1 repository · arXiv:1905.09944
• Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
  21 May 2019 · 1 repository · arXiv:1905.08547
• CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models
  20 May 2019 · 0 repositories · arXiv:1905.07857
• KGAT: Knowledge Graph Attention Network for Recommendation
  20 May 2019 · 7 repositories · arXiv:1905.07854
  Syntology official (archive's flag): 3 ran · 10 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified (of 13 harvested samples) · 7 pointer-only (licence)
• Leveraging Semantic Embeddings for Safety-Critical Applications
  19 May 2019 · 0 repositories · arXiv:1905.07733
• Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees
  18 May 2019 · 4 repositories · arXiv:1905.07631
  Syntology official (archive's flag): 4 ran · 4 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; 3 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
• Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks
  17 May 2019 · 2 repositories
• Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection
  16 May 2019 · 1 repository · arXiv:1905.06987
• Efficient hinging hyperplanes neural network and its application in nonlinear system identification
  15 May 2019 · 0 repositories · arXiv:1905.06518
• Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
  15 May 2019 · 0 repositories · arXiv:1905.06088
• Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
  15 May 2019 · 0 repositories · arXiv:1905.06352
• TSXplain: Demystification of DNN Decisions for Time-Series using Natural Language and Statistical Features
  15 May 2019 · 0 repositories · arXiv:1905.06175
• Atom Responding Machine for Dialog Generation
  14 May 2019 · 0 repositories · arXiv:1905.05532
• Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction
  14 May 2019 · 0 repositories · arXiv:1905.05849
• Stochastic Blockmodels meet Graph Neural Networks
  14 May 2019 · 0 repositories · arXiv:1905.05738
• Explainable AI for Trees: From Local Explanations to Global Understanding
  11 May 2019 · 2 repositories · arXiv:1905.04610
• Interpret Federated Learning with Shapley Values
  11 May 2019 · 1 repository · arXiv:1905.04519
  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: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
  10 May 2019 · 0 repositories · arXiv:1905.04232
• Credit Scoring for Micro-Loans
  10 May 2019 · 0 repositories · arXiv:1905.03946
• Hybrid Predictive Model: When an Interpretable Model Collaborates with a Black-box Model
  10 May 2019 · 0 repositories · arXiv:1905.04241
• Learning Interpretable Features via Adversarially Robust Optimization
  9 May 2019 · 0 repositories · arXiv:1905.03767
• Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
  7 May 2019 · 2 repositories · arXiv:1905.02599
  Syntology official (archive's flag): 2 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) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Intentional Attention Mask Transformation for Robust CNN Classification
  7 May 2019 · 0 repositories · arXiv:1905.02719
• Deep Visual City Recognition Visualization
  6 May 2019 · 1 repository · arXiv:1905.01932
• Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform
  6 May 2019 · 0 repositories · arXiv:1905.02168
• Interpretability with Accurate Small Models
  4 May 2019 · 0 repositories · arXiv:1905.01520
• Temporal Graph Convolutional Networks for Automatic Seizure Detection
  3 May 2019 · 0 repositories · arXiv:1905.01375
• Full-Gradient Representation for Neural Network Visualization
  2 May 2019 · 2 repositories · arXiv:1905.00780
• Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications
  2 May 2019 · 1 repository · arXiv:1905.00563
• Guiding Physical Intuition with Neural Stethoscopes
  1 May 2019 · 0 repositories
• Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
  1 May 2019 · 1 repository
• Pearl: Prototype lEArning via Rule Lists
  1 May 2019 · 0 repositories
• SEGEN: SAMPLE-ENSEMBLE GENETIC EVOLUTIONARY NETWORK MODEL
  1 May 2019 · 0 repositories
• Unlabeled Disentangling of GANs with Guided Siamese Networks
  1 May 2019 · 0 repositories
• Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
  30 Apr 2019 · 0 repositories · arXiv:1904.13078
• A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
  28 Apr 2019 · 0 repositories · arXiv:1904.13236
• Fake News Early Detection: An Interdisciplinary Study
  26 Apr 2019 · 0 repositories · arXiv:1904.11679
• Towards Explainable Anticancer Compound Sensitivity Prediction via Multimodal Attention-based Convolutional Encoders
  25 Apr 2019 · 1 repository · arXiv:1904.11223
• Computer-aided diagnosis in histopathological images of the endometrium using a convolutional neural network and attention mechanisms
  24 Apr 2019 · 1 repository · arXiv:1904.10626
• Concise Fuzzy System Modeling Integrating Soft Subspace Clustering and Sparse Learning
  24 Apr 2019 · 0 repositories · arXiv:1904.10683
• Neural Logic Reinforcement Learning
  24 Apr 2019 · 1 repository · arXiv:1904.10729
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified (of 9 harvested samples)
• The Scientific Method in the Science of Machine Learning
  24 Apr 2019 · 0 repositories · arXiv:1904.10922
• Wasserstein-Fisher-Rao Document Distance
  23 Apr 2019 · 0 repositories · arXiv:1904.10294
• A Unified Framework for Structured Graph Learning via Spectral Constraints
  22 Apr 2019 · 2 repositories · arXiv:1904.09792
• Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
  21 Apr 2019 · 0 repositories · arXiv:1904.09633
• NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
  19 Apr 2019 · 0 repositories · arXiv:1904.09044