Journal of Artificial Intelligence Research

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	397
Mapping the landscape of Artificial Intelligence applications against COVID-19	266
Confident Learning: Estimating Uncertainty in Dataset Labels	228
Benchmark and Survey of Automated Machine Learning Frameworks	159
Neural Machine Translation: A Review	110
Explainable Deep Learning: A Field Guide for the Uninitiated	103
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	53
On the Tractability of SHAP Explanations	43
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	38
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	36
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	36
Game Plan: What AI can do for Football, and What Football can do for AI	35
Compositionality Decomposed: How do Neural Networks Generalise?	34
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	34
Classifier Chains: A Review and Perspectives	33
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	29
A Theoretical Perspective on Hyperdimensional Computing	29
Multiobjective Tree-Structured Parzen Estimator	29
Towards Continual Reinforcement Learning: A Review and Perspectives	28
Deep Reinforcement Learning: A State-of-the-Art Walkthrough	27
Graph Kernels: A Survey	27
Ontology Reasoning with Deep Neural Networks	27
Survey and Evaluation of Causal Discovery Methods for Time Series	26
Superintelligence Cannot be Contained: Lessons from Computability Theory	24
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review	24

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	23
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	21
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	21
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks	21
Can We Automate Scientific Reviewing?	20
Sliding-Window Thompson Sampling for Non-Stationary Settings	20
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning	19
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation	19
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches	18
To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race	18
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey	17
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning	17
Two-facility Location Games with Minimum Distance Requirement	16
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer	16
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence	16
Learning from Disagreement: A Survey	16
Annotator Rationales for Labeling Tasks in Crowdsourcing	16
Contrasting the Spread of Misinformation in Online Social Networks	15
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	15
Preferences Single-Peaked on a Circle	13
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey	13
The Societal Implications of Deep Reinforcement Learning	13
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy	13
Inductive Logic Programming At 30: A New Introduction	13
On Tackling Explanation Redundancy in Decision Trees	12
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models	12
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI	11
Multi-Label Classification Neural Networks with Hard Logical Constraints	11
Induction and Exploitation of Subgoal Automata for Reinforcement Learning	11
The Effects of Experience on Deception in Human-Agent Negotiation	11
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle	11
An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems	11
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	11
A Survey of Opponent Modeling in Adversarial Domains	11
A Survey of Methods for Automated Algorithm Configuration	10
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study	10
Maximin Share Allocations on Cycles	10
Liquid Democracy: An Algorithmic Perspective	10
Contrastive Explanations of Plans through Model Restrictions	9
ASNets: Deep Learning for Generalised Planning	9
Automated Dynamic Algorithm Configuration	9
Multi-Document Summarization with Determinantal Point Process Attention	9
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula	9
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification	9
Welfare Guarantees in Schelling Segregation	9
MADRaS : Multi Agent Driving Simulator	8
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	8
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	8
Improving Nash Social Welfare Approximations	8
Quantum Mathematics in Artificial Intelligence	8

Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction	8
Fairness in Influence Maximization through Randomization	8
HTN Planning as Heuristic Progression Search	8
Conceptual Modeling of Explainable Recommender Systems: An Ontological Formalization to Guide Their Design and Development	8
Contiguous Cake Cutting: Hardness Results and Approximation Algorithms	8
The Computational Complexity of Understanding Binary Classifier Decisions	8
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms	8
Core Challenges in Embodied Vision-Language Planning	8
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality	7
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	7
Bribery and Control in Stable Marriage	7
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications	7
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	7
Bridging the Gap Between Probabilistic Model Checking and Probabilistic Planning: Survey, Compilations, and Empirical Comparison	7
Objective Bayesian Nets for Integrating Consistent Datasets	7
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation	7
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding	7
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	7
Predicting Strategic Behavior from Free Text	7
Simulating Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity Data	7
Impact of Imputation Strategies on Fairness in Machine Learning	6
Loss Functions, Axioms, and Peer Review	6
Learning Optimal Decision Sets and Lists with SAT	6
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach	6
Modular Structures and Atomic Decomposition in Ontologies	6
Hedonic Games with Ordinal Preferences and Thresholds	6
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing	6
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems	6
Better Decision Heuristics in CDCL through Local Search and Target Phases	6
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers	6
Towards Partial Order Reductions for Strategic Ability	6
Viewpoint: AI as Author – Bridging the Gap Between Machine Learning and Literary Theory	6
An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering	6
Variational Bayes In Private Settings (VIPS)	6
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies	6
Subgoaling Techniques for Satisficing and Optimal Numeric Planning	6
The Complexity Landscape of Outcome Determination in Judgment Aggregation	5
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set	5
A Sufficient Statistic for Influence in Structured Multiagent Environments	5
Credibility-limited Base Revision: New Classes and Their Characterizations	5
Synthesis and Properties of Optimally Value-Aligned Normative Systems	5
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization	5
Incomplete Preferences in Single-Peaked Electorates	5
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching	5
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel	5
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text	5
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features	5
Integrated Offline and Online Decision Making under Uncertainty	5
Scalable Planning with Deep Neural Network Learned Transition Models	5
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning	5
On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics	5
Diagnosis of Deep Discrete-Event Systems	5
A General Approach to Multimodal Document Quality Assessment	5
Constraint Solving Approaches to the Business-to-Business Meeting Scheduling Problem	5
Efficient Learning of Interpretable Classification Rules	5
Hybrid-order Network Consensus for Distributed Multi-agent Systems	5
Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization	5
Intelligence in Strategic Games	5
Declarative Algorithms and Complexity Results for Assumption-Based Argumentation	5
Point at the Triple: Generation of Text Summaries from Knowledge Base Triples	4
Towards Knowledgeable Supervised Lifelong Learning Systems	4
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges	4
Altruistic Hedonic Games	4
Regarding Goal Bounding and Jump Point Search	4
Path Counting for Grid-Based Navigation	4
Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk	4
Probabilistic Temporal Networks with Ordinary Distributions: Theory, Robustness and Expected Utility	4
General Value Function Networks	4
DeepSym: Deep Symbol Generation and Rule Learning for Planning from Unsupervised Robot Interaction	4
Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework	4
Experimental Comparison and Survey of Twelve Time Series Anomaly Detection Algorithms	4
Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search	4
Generic Constraint-based Block Modeling using Constraint Programming	4
AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms	4
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization	4
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	4
Image Captioning using Facial Expression and Attention	4
The Parameterized Complexity of Motion Planning for Snake-Like Robots	3
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits	3
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions	3

Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning	3
Safe Multi-Agent Pathfinding with Time Uncertainty	3
Dimensional Inconsistency Measures and Postulates in Spatio-Temporal Databases	3
Scalable Online Planning for Multi-Agent MDPs	3
Viewpoint: Ethical By Designer - How to Grow Ethical Designers of Artificial Intelligence	3
A Semi-exact Algorithm for Quickly Computing A Maximum Weight Clique in Large Sparse Graphs	3
Planning with Critical Section Macros: Theory and Practice	3
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis	3
Improving Simulated Annealing for Clique Partitioning Problems	3
Towards Green Automated Machine Learning: Status Quo and Future Directions	3
The AI Liability Puzzle and A Fund-Based Work-Around	3
CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings	3
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint	3
Vocabulary Alignment in Openly Specified Interactions	3
Gradient-based Learning Methods Extended to Smooth Manifolds Applied to Automated Clustering	3
Measuring Fairness Under Unawareness of Sensitive Attributes: A Quantification-Based Approach	3
Proactive Dynamic Distributed Constraint Optimization Problems	3
Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition	3
Fair Division of Indivisible Goods for a Class of Concave Valuations	3
On Dynamics in Structured Argumentation Formalisms	3
Strategyproof Mechanisms for Additively Separable and Fractional Hedonic Games	3
Multi-Agent Advisor Q-Learning	3
Incremental Event Calculus for Run-Time Reasoning	3
Fairness in Forecasting of Observations of Linear Dynamical Systems	3
Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	2
Learning to Design Fair and Private Voting Rules	2
A Comprehensive Survey on Deep Graph Representation Learning Methods	2
Computational Benefits of Intermediate Rewards for Goal-Reaching Policy Learning	2
How to Do Things with Words: A Bayesian Approach	2
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	2
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis	2
Constraint and Satisfiability Reasoning for Graph Coloring	2
Epistemic Argumentation Framework: Theory and Computation	2
Learning the Language of Software Errors	2
FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning	2
A Survey on Understanding and Representing Privacy Requirements in the Internet-of-Things	2
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization	2
Actor Prioritized Experience Replay	2
Playing Codenames with Language Graphs and Word Embeddings	2
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	2
Using Machine Learning for Decreasing State Uncertainty in Planning	2
Representative Committees of Peers	2
Preferences Single-Peaked on a Tree: Multiwinner Elections and Structural Results	2
Efficient Retrieval of Matrix Factorization-Based Top-k Recommendations: A Survey of Recent Approaches	2
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML	2
Aggregation over Metric Spaces: Proposing and Voting in Elections, Budgeting, and Legislation	2
Optimally Deceiving a Learning Leader in Stackelberg Games	2
Multilabel Classification with Partial Abstention: Bayes-Optimal Prediction under Label Independence	2
The Complexity of Matching Games: A Survey	2
Reviewer Assignment Problem: A Systematic Review of the Literature	2
Relevance in Belief Update	2
Labeled Bipolar Argumentation Frameworks	2
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	2
Constraint-based Diversification of JOP Gadgets	2