OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Artificial Intelligence Research is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	413
Mapping the landscape of Artificial Intelligence applications against COVID-19	269
Confident Learning: Estimating Uncertainty in Dataset Labels	237
Benchmark and Survey of Automated Machine Learning Frameworks	167
Neural Machine Translation: A Review	116
Explainable Deep Learning: A Field Guide for the Uninitiated	108
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	55
On the Tractability of SHAP Explanations	49
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	39
Game Plan: What AI can do for Football, and What Football can do for AI	37
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	37
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	36
Classifier Chains: A Review and Perspectives	36
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	36
Towards Continual Reinforcement Learning: A Review and Perspectives	35
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	31
Multiobjective Tree-Structured Parzen Estimator	30
A Theoretical Perspective on Hyperdimensional Computing	29
Survey and Evaluation of Causal Discovery Methods for Time Series	28
Ontology Reasoning with Deep Neural Networks	28
Deep Reinforcement Learning: A State-of-the-Art Walkthrough	28
Graph Kernels: A Survey	27
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	27
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review	25
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	25

Superintelligence Cannot be Contained: Lessons from Computability Theory	25
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	24
Sliding-Window Thompson Sampling for Non-Stationary Settings	22
Can We Automate Scientific Reviewing?	22
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks	21
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning	20
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches	20
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation	20
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey	19
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning	18
To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race	18
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer	18
Two-facility Location Games with Minimum Distance Requirement	17
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy	17
Learning from Disagreement: A Survey	16
Annotator Rationales for Labeling Tasks in Crowdsourcing	16
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence	16
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	16
Contrasting the Spread of Misinformation in Online Social Networks	15
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey	15
Preferences Single-Peaked on a Circle	14
The Societal Implications of Deep Reinforcement Learning	14
Inductive Logic Programming At 30: A New Introduction	13
On Tackling Explanation Redundancy in Decision Trees	13
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	12
Induction and Exploitation of Subgoal Automata for Reinforcement Learning	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	12
Multi-Document Summarization with Determinantal Point Process Attention	12
An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems	12
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study	11
Get out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula	11
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle	11
The Effects of Experience on Deception in Human-Agent Negotiation	11
Multi-Label Classification Neural Networks with Hard Logical Constraints	11
A Survey of Opponent Modeling in Adversarial Domains	11
Quantum Mathematics in Artificial Intelligence	10
A Survey of Methods for Automated Algorithm Configuration	10
ASNets: Deep Learning for Generalised Planning	10
Maximin Share Allocations on Cycles	10
Liquid Democracy: An Algorithmic Perspective	10
Contrastive Explanations of Plans through Model Restrictions	9
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	9
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification	9
Welfare Guarantees in Schelling Segregation	9
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	9
Automated Dynamic Algorithm Configuration	9
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms	8
MADRaS : Multi Agent Driving Simulator	8
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction	8

Fairness in Influence Maximization through Randomization	8
Core Challenges in Embodied Vision-Language Planning	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
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	8
Improving Nash Social Welfare Approximations	8
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	8
Lilotane: A Lifted SAT-based Approach to Hierarchical Planning	8
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	8
Objective Bayesian Nets for Integrating Consistent Datasets	7
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding	7
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications	7
Bridging the Gap Between Probabilistic Model Checking and Probabilistic Planning: Survey, Compilations, and Empirical Comparison	7
Impact of Imputation Strategies on Fairness in Machine Learning	7
Simulating Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity Data	7
Subgoaling Techniques for Satisficing and Optimal Numeric Planning	7
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation	7
Bribery and Control in Stable Marriage	7
Better Decision Heuristics in CDCL through Local Search and Target Phases	7
Predicting Strategic Behavior from Free Text	7
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality	7
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies	6
Towards Partial Order Reductions for Strategic Ability	6
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing	6
Variational Bayes In Private Settings (VIPS)	6
An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering	6
Learning Optimal Decision Sets and Lists with SAT	6
Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set	6
Viewpoint: AI as Author – Bridging the Gap Between Machine Learning and Literary Theory	6
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems	6
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching	6
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach	6
Modular Structures and Atomic Decomposition in Ontologies	6
Scalable Planning with Deep Neural Network Learned Transition Models	6
sEMG-Based Upper Limb Movement Classifier: Current Scenario and Upcoming Challenges	6
Loss Functions, Axioms, and Peer Review	6
Weighted First-Order Model Counting in the Two-Variable Fragment With Counting Quantifiers	6