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 2020-03-01 to 2024-03-01.)

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	381
Mapping the landscape of Artificial Intelligence applications against COVID-19	264
Confident Learning: Estimating Uncertainty in Dataset Labels	220
Benchmark and Survey of Automated Machine Learning Frameworks	154
Neural Machine Translation: A Review	106
Explainable Deep Learning: A Field Guide for the Uninitiated	99
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	50
On the Tractability of SHAP Explanations	43
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	36
Compositionality Decomposed: How do Neural Networks Generalise?	33
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	33
Game Plan: What AI can do for Football, and What Football can do for AI	32
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	32
Classifier Chains: A Review and Perspectives	32
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	30
Multiobjective Tree-Structured Parzen Estimator	28
Deep Reinforcement Learning: A State-of-the-Art Walkthrough	27
Graph Kernels: A Survey	26
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	26
A Theoretical Perspective on Hyperdimensional Computing	26
Survey and Evaluation of Causal Discovery Methods for Time Series	25
Ontology Reasoning with Deep Neural Networks	25
Towards Continual Reinforcement Learning: A Review and Perspectives	24
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review	24
Superintelligence Cannot be Contained: Lessons from Computability Theory	24

A Set of Recommendations for Assessing Human–Machine Parity in Language Translation	23
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	22
Robust Multi-Agent Path Finding and Executing	21
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks	21
Can We Automate Scientific Reviewing?	20
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	19
Sliding-Window Thompson Sampling for Non-Stationary Settings	19
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	18
To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race	18
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning	17
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
Annotator Rationales for Labeling Tasks in Crowdsourcing	16
Two-facility Location Games with Minimum Distance Requirement	16
Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence	16
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation	15
Learning from Disagreement: A Survey	15
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches	15
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer	14
Contrasting the Spread of Misinformation in Online Social Networks	14
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective	14
Inductive Logic Programming At 30: A New Introduction	13
Preferences Single-Peaked on a Circle	13
The Societal Implications of Deep Reinforcement Learning	13
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy	12
NLP Methods for Extraction of Symptoms from Unstructured Data for Use in Prognostic COVID-19 Analytic Models	12
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey	12
Agent-Based Modeling for Predicting Pedestrian Trajectories Around an Autonomous Vehicle	11
On Quantifying Literals in Boolean Logic and its Applications to Explainable AI	11
On Tackling Explanation Redundancy in Decision Trees	11
Multi-Label Classification Neural Networks with Hard Logical Constraints	11
An Evaluation of Communication Protocol Languages for Engineering Multiagent Systems	11
The Effects of Experience on Deception in Human-Agent Negotiation	10
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	10
A Survey of Opponent Modeling in Adversarial Domains	10
Maximin Share Allocations on Cycles	10
Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study	10
Adversarial Attacks on Crowdsourcing Quality Control	10
Liquid Democracy: An Algorithmic Perspective	10
ASNets: Deep Learning for Generalised Planning	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
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer	9
A Survey of Methods for Automated Algorithm Configuration	9
Multi-Document Summarization with Determinantal Point Process Attention	9
Induction and Exploitation of Subgoal Automata for Reinforcement Learning	9
Automated Dynamic Algorithm Configuration	9
Quantum Mathematics in Artificial Intelligence	8
The Computational Complexity of Understanding Binary Classifier Decisions	8
Improving Nash Social Welfare Approximations	8

Core Challenges in Embodied Vision-Language Planning	8
Contiguous Cake Cutting: Hardness Results and Approximation Algorithms	8
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	8
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms	8
Contrastive Explanations of Plans through Model Restrictions	8
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	8
Welfare Guarantees in Schelling Segregation	8
HTN Planning as Heuristic Progression Search	8
Fairness in Influence Maximization through Randomization	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
Task-Aware Verifiable RNN-Based Policies for Partially Observable Markov Decision Processes	7
Predicting Strategic Behavior from Free Text	7
The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation	7
Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction	7
CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding	7
The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality	7
Conceptual Modeling of Explainable Recommender Systems: An Ontological Formalization to Guide Their Design and Development	7
Simulating Offender Mobility: Modeling Activity Nodes from Large-Scale Human Activity Data	7
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models	7
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	6
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing	6
Better Decision Heuristics in CDCL through Local Search and Target Phases	6
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach	6
Agreement on Target-Bidirectional Recurrent Neural Networks for Sequence-to-Sequence Learning	6
MADRaS : Multi Agent Driving Simulator	6
A Logic-Based Explanation Generation Framework for Classical and Hybrid Planning Problems	6
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies	6
Approximating Perfect Recall when Model Checking Strategic Abilities: Theory and Applications	6
Towards Partial Order Reductions for Strategic Ability	6
Hedonic Games with Ordinal Preferences and Thresholds	6
Bribery and Control in Stable Marriage	6
Variational Bayes In Private Settings (VIPS)	6
Subgoaling Techniques for Satisficing and Optimal Numeric Planning	6
Modular Structures and Atomic Decomposition in Ontologies	6