Search Results - "The Journal of artificial intelligence research"

A Comprehensive Survey on Deep Graph Representation Learning Methods by Chikwendu, Ijeoma Amuche, Zhang, Xiaoling, Agyemang, Isaac Osei, Adjei-Mensah, Isaac, Chima, Ukwuoma Chiagoziem, Ejiyi, Chukwuebuka Joseph

“…There has been a lot of activity in graph representation learning in recent years. Graph representation learning aims to produce graph representation vectors…”
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Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models by Schellaert, Wout, Martínez-Plumed, Fernando, Vold, Karina, Burden, John, A. M. Casares, Pablo, Sheng Loe, Bao, Reichart, Roi, Ó hÉigeartaigh, Sean, Korhonen, Anna, Hernández-Orallo, José

“…Even with obvious deficiencies, large prompt-commanded multimodal models are proving to be flexible cognitive tools representing an unprecedented generality…”
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Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach by Meli, Daniele, Castellini, Alberto, Farinelli, Alessandro

“…Partially Observable Markov Decision Processes (POMDPs) are a powerful framework for planning under uncertainty. They allow to model state uncertainty as a…”
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Individual Fairness, Base Rate Tracking and the Lipschitz Condition by Eva, Benjamin

“…In recent years, there has been a proliferation of competing conceptions of what it means for a predictive algorithm to treat its subjects fairly. Most…”
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Simulating Counterfactuals by Karvanen, Juha, Tikka, Santtu, Vihola, Matti

“…Counterfactual inference considers a hypothetical intervention in a parallel world that shares some evidence with the factual world. If the evidence specifies…”
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A Map of Diverse Synthetic Stable Matching Instances by Boehmer, Niclas, Heeger, Klaus, Szufa, Stanisław

“…Focusing on Stable Roommates (SR), we contribute to the toolbox for conducting experiments for stable matching problems. We introduce the polynomial-time…”
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Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks by Ramachandranpillai, Resmi, Sikder, Md Fahim, Bergström, David, Heintz, Fredrik

“…Synthetic data generation offers a promising solution to enhance the usefulness of Electronic Healthcare Records (EHR) by generating realistic de-identified…”
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Counting Complexity for Reasoning in Abstract Argumentation by Fichte, Johannes K., Hecher, Markus, Meier, Arne

“…In this paper, we consider counting and projected model counting of extensions in abstract argumentation for various semantics, including credulous reasoning…”
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Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation by Abaho, Micheal, Alfaifi, Yousef H.

“…Injecting textual information into knowledge graph (KG) entity representations has been a worthwhile expedition in terms of improving performance in KG…”
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Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis by Struppek, Lukas, Hintersdorf, Dom, Friedrich, Felix, Br, Manuel, Schramowski, Patrick, Kersting, Kristian

“…Models for text-to-image synthesis, such as DALL-E 2 and Stable Diffusion, have recently drawn a lot of interest from academia and the general public. These…”
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Incremental Event Calculus for Run-Time Reasoning by Tsilionis, Efthimis, Artikis, Alexander, Paliouras, Georgios

“…We present a system for online, incremental composite event recognition. In streaming environments, the usual case is for data to arrive with a (variable)…”
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Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization by Nikolaidis, Konstantinos, Kristiansen, Stein, Plagemann, Thomas, Goebel, Vera, Liestøl, Knut, Kankanhalli, Mohan, Traaen, Gunn Marit, Overland, Britt, Akre, Harriet, Aakerøy, Lars, Steinshamn, Sigurd

“…Good training data is a prerequisite to develop useful Machine Learning applications. However, in many domains existing data sets cannot be shared due to…”
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News Across Languages - Cross-Lingual Document Similarity and Event Tracking by Rupnik, Jan, Muhic, Andrej, Leban, Gregor, Skraba, Primoz, Fortuna, Blaz, Grobelnik, Marko

“…In today's world, we follow news which is distributed globally. Significant events are reported by different sources and in different languages. In this work,…”
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testfileInProgress by Natarajan, Sriraam

“…testing in porgress_do not touch…”
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Compositionality Decomposed: How do Neural Networks Generalise? by Hupkes, Dieuwke, Dankers, Verna, Mul, Mathijs, Bruni, Elia

“…Despite a multitude of empirical studies, little consensus exists on whether neural networks are able to generalise compositionally, a controversy that, in…”
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Mapping the landscape of Artificial Intelligence applications against COVID-19 by Bullock, Joseph, Luccioni, Alexandra, Hoffman Pham, Katherine, Sin Nga Lam, Cynthia, Luengo-Oroz, Miguel

“…COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million…”
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Benchmark and Survey of Automated Machine Learning Frameworks by Zöller, Marc-André, Huber, Marco F.

“…Machine learning (ML) has become a vital part in many aspects of our daily life. However, building well performing machine learning applications requires…”
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Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning by Toro Icarte, Rodrigo, Klassen, Toryn Q., Valenzano, Richard, McIlraith, Sheila A.

“…Reinforcement learning (RL) methods usually treat reward functions as black boxes. As such, these methods must extensively interact with the environment in…”
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Neural Machine Translation: A Review by Stahlberg, Felix

“…The field of machine translation (MT), the automatic translation of written text from one natural language into another, has experienced a major paradigm shift…”
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A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems by Silva, Felipe Leno Da, Costa, Anna Helena Reali

“…Multiagent Reinforcement Learning (RL) solves complex tasks that require coordination with other agents through autonomous exploration of the environment…”
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