Volume 79 Masthead

Published: 2024-01-10

Articles

Undesirable Biases in NLP: Addressing Challenges of Measurement

Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem Zuidema, Katrin Schulz

1-40

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The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence

Jérémie Sublime

41-67

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Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks

Wolfgang Dvořák, Matthias König, Markus Ulbricht, Stefan Woltran

69-136

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Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty

Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes

137-171

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Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models

Alessandro Suglia, Ioannis Konstas, Oliver Lemon

173-239

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Query-driven Qualitative Constraint Acquisition

Mohamed-Bachir Belaid, Nassim Belmecheri , Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

241-271

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Detecting Change Intervals with Isolation Distributional Kernel

Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

273-306

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Boolean Observation Games

Hans van Ditmarsch, Sunil Simon

307-357

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Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger

359-415

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Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges

Giorgio Franceschelli, Mirco Musolesi

417-446

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Weighted, Circular and Semi-Algebraic Proofs

Ilario Bonacina, Maria Luisa Bonet, Jordi Levy

447-482

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An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees

Stefano Ardizzoni, Irene Saccani, Luca Consolini, Marco Locatelli, Bernhard Nebel

483-514

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On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach

Mohit Kumar, Bernhard A. Moser, Lukas Fischer

515-567

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Exploring the Tradeoff Between System Profit and Income Equality Among Ride-hailing Drivers

Evan Yifan Xu, Pan Xu

569-597

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Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint

Yixin Chen, Alan Kuhnle

599-637

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Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML

Hilde Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter

639-677

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Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework

Florian Felten, El-Ghazali Talbi, Grégoire Danoy

679-723

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Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach

Daniele Meli, Alberto Castellini, Alessandro Farinelli

725-776

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Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression

Zari McFadden, Lauren Alvarez

777-799

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conDENSE: Conditional Density Estimation for Time Series Anomaly Detection

Alex Moore, Davide Morelli

801-824

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Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations

Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu

825-863

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A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection

Yufan Wang, Zijing Wang, Kai Ming Ting, Yuanyi Shang

865-893

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Learning to Resolve Social Dilemmas: A Survey

Shaheen Fatima, Nicholas R. Jennings, Michael Wooldridge

895-969

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Cultural Bias in Explainable AI Research: A Systematic Analysis

Uwe Peters, Mary Carman

971-1000

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Removing Bias and Incentivizing Precision in Peer-grading

Anujit Chakraborty, Jatin Jindal, Swaprava Nath

1001-1046

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Iterative Train Scheduling under Disruption with Maximum Satisfiability

Alexandre Lemos, Filipe Gouveia, Pedro T. Monteiro, Inês Lynce

1047-1090

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DIGCN: A Dynamic Interaction Graph Convolutional Network Based on Learnable Proposals for Object Detection

Pingping Cao, Yanping Zhu, Yuhao Jin, Benkun Ruan, Qiang Niu

1091-1112

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A Map of Diverse Synthetic Stable Matching Instances

Niclas Boehmer, Klaus Heeger, Stanisław Szufa

1113-1166

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Structure in Deep Reinforcement Learning: A Survey and Open Problems

Aditya Mohan, Amy Zhang, Marius Lindauer

1167-1236

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USN: A Robust Imitation Learning Method against Diverse Action Noise

Xingrui Yu, Bo Han, Ivor W. Tsang

1237-1280

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Collision Avoiding Max-Sum for Mobile Sensor Teams

Arseniy Pertzovsky, Roie Zivan, Noa Agmon

1281-1311

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Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks

Resmi Ramachandranpillai, Md Fahim Sikder, David Bergström, Fredrik Heintz

1313-1341

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