{"list":"other","total":61,"rows":[{"id":"1610.02391","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","created":"2016-10-07","cited_by_count":6733},{"id":"1705.07874","title":"A Unified Approach to Interpreting Model Predictions","created":"2017-05-22","cited_by_count":6555},{"id":"1602.04938","title":"\"Why Should I Trust You?\": Explaining the Predictions of Any Classifier","created":"2016-02-16","cited_by_count":5070},{"id":"1409.0473","title":"Neural Machine Translation by Jointly Learning to Align and Translate","created":"2014-09-01","cited_by_count":4548},{"id":"1512.04150","title":"Learning Deep Features for Discriminative Localization","created":"2015-12-14","cited_by_count":2436},{"id":"1312.6034","title":"Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps","created":"2013-12-20","cited_by_count":2371},{"id":"1311.2901","title":"Visualizing and Understanding Convolutional Networks","created":"2013-11-12","cited_by_count":2290},{"id":"2006.05525","title":"Knowledge Distillation: A Survey","created":"2020-06-09","cited_by_count":1603},{"id":"1910.10045","title":"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI","created":"2019-10-22","cited_by_count":1552},{"id":"1704.02685","title":"Learning Important Features Through Propagating Activation Differences","created":"2017-04-10","cited_by_count":1458},{"id":"1502.03044","title":"Show, Attend and Tell: Neural Image Caption Generation with Visual Attention","created":"2015-02-10","cited_by_count":1423},{"id":"1702.08608","title":"Towards A Rigorous Science of Interpretable Machine Learning","created":"2017-02-28","cited_by_count":1416},{"id":"1711.11279","title":"Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)","created":"2017-11-30","cited_by_count":1319},{"id":"1706.03825","title":"SmoothGrad: removing noise by adding noise","created":"2017-06-12","cited_by_count":1109},{"id":"1412.6806","title":"Striving for Simplicity: The All Convolutional Net","created":"2014-12-21","cited_by_count":990},{"id":"1802.01933","title":"A Survey Of Methods For Explaining Black Box Models","created":"2018-02-06","cited_by_count":973},{"id":"1710.11063","title":"Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks","created":"2017-10-30","cited_by_count":939},{"id":"1606.03490","title":"The Mythos of Model Interpretability","created":"2016-06-10","cited_by_count":721},{"id":"2012.09838","title":"Transformer Interpretability Beyond Attention Visualization","created":"2020-12-17","cited_by_count":627},{"id":"1806.07538","title":"Towards Robust Interpretability with Self-Explaining Neural Networks","created":"2018-06-20","cited_by_count":505},{"id":"1506.05908","title":"Deep Knowledge Tracing","created":"2015-06-19","cited_by_count":332},{"id":"2004.13912","title":"Neural Additive Models: Interpretable Machine Learning with Neural Nets","created":"2020-04-29","cited_by_count":319},{"id":"2004.05937","title":"Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks","created":"2020-04-13","cited_by_count":316},{"id":"1605.01713","title":"Not Just a Black Box: Learning Important Features Through Propagating Activation Differences","created":"2016-05-05","cited_by_count":297},{"id":"1812.04608","title":"Metrics for Explainable AI: Challenges and Prospects","created":"2018-12-11","cited_by_count":260},{"id":"2006.11371","title":"Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey","created":"2020-06-16","cited_by_count":254},{"id":"2002.02770","title":"A Survey on Causal Inference","created":"2020-02-05","cited_by_count":202},{"id":"2007.12324","title":"Context-Aware Attentive Knowledge Tracing","created":"2020-07-24","cited_by_count":174},{"id":"1907.06837","title":"A Self-Attentive model for Knowledge Tracing","created":"2019-07-16","cited_by_count":172},{"id":"1611.08108","title":"Dynamic Key-Value Memory Networks for Knowledge Tracing","created":"2016-11-24","cited_by_count":171},{"id":"2108.04840","title":"Post-hoc Interpretability for Neural NLP: A Survey","created":"2021-08-10","cited_by_count":156},{"id":"1511.01644","title":"Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model","created":"2015-11-05","cited_by_count":140},{"id":"2206.11104","title":"OpenXAI: Towards a Transparent Evaluation of Model Explanations","created":"2022-06-22","cited_by_count":126},{"id":"1906.05658","title":"EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction","created":"2019-06-07","cited_by_count":109},{"id":"2107.06641","title":"Trustworthy AI: A Computational Perspective","created":"2021-07-12","cited_by_count":93},{"id":"2007.15911","title":"The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies","created":"2020-07-31","cited_by_count":92},{"id":"2003.03934","title":"Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation","created":"2020-03-09","cited_by_count":82},{"id":"2002.07033","title":"Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing","created":"2020-02-14","cited_by_count":81},{"id":"2201.06953","title":"Knowledge Tracing: A Survey","created":"2022-01-08","cited_by_count":77},{"id":"1711.06178","title":"Beyond Sparsity: Tree Regularization of Deep Models for Interpretability","created":"2017-11-16","cited_by_count":68},{"id":"2008.12736","title":"RKT : Relation-Aware Self-Attention for Knowledge Tracing","created":"2020-08-28","cited_by_count":62},{"id":"1612.07843","title":"\"What is Relevant in a Text Document?\": An Interpretable Machine Learning Approach","created":"2016-12-23","cited_by_count":53},{"id":"1904.11738","title":"Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory","created":"2019-04-26","cited_by_count":51},{"id":"2108.11761","title":"A Framework for Learning Ante-hoc Explainable Models via Concepts","created":"2021-08-25","cited_by_count":45},{"id":"1811.03388","title":"Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing","created":"2018-11-08","cited_by_count":42},{"id":"1903.10433","title":"Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems","created":"2019-03-25","cited_by_count":41},{"id":"2302.06885","title":"Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations","created":"2023-02-14","cited_by_count":32},{"id":"1606.09066","title":"Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach","created":"2016-06-29","cited_by_count":27},{"id":"1905.06873","title":"DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills","created":"2019-05-14","cited_by_count":27},{"id":"1908.02146","title":"Knowledge Query Network: How Knowledge Interacts with Skills","created":"2019-08-03","cited_by_count":23},{"id":"2010.07388","title":"Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines","created":"2020-10-14","cited_by_count":14},{"id":"2112.11209","title":"Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations","created":"2021-12-15","cited_by_count":14},{"id":"1712.08268","title":"Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation","created":"2017-12-22","cited_by_count":10},{"id":"2208.12615","title":"MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing","created":"2022-08-19","cited_by_count":7},{"id":"2111.07083","title":"Learning Data Teaching Strategies Via Knowledge Tracing","created":"2021-11-13","cited_by_count":6},{"id":"2308.03377","title":"Counterfactual Monotonic Knowledge Tracing for Assessing Students' Dynamic Mastery of Knowledge Concepts","created":"2023-08-07","cited_by_count":5},{"id":"2101.08349","title":"Do we need to go Deep? Knowledge Tracing with Big Data","created":"2021-01-20","cited_by_count":4},{"id":"2105.06266","title":"LANA: Towards Personalized Deep Knowledge Tracing Through Distinguishable Interactive Sequences","created":"2021-04-21","cited_by_count":4},{"id":"2010.08760","title":"Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic","created":"2020-10-17","cited_by_count":2},{"id":"2011.05285","title":"Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?","created":"2020-11-10","cited_by_count":2},{"id":"2111.00419","title":"Interpreting Deep Knowledge Tracing Model on EdNet Dataset","created":"2021-10-31","cited_by_count":1}],"next_cursor":null}