JAIR 2024

105 papers

A Fortiori Case-Based Reasoning: From Theory to Data Wijnand van Woerkom, Davide Grossi, Henry Prakken, Bart Verheij
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A Hybrid Intelligence Method for Argument Mining Michiel van der Meer, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah
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A mAP of Diverse Synthetic Stable Matching Instances Niclas Boehmer, Klaus Heeger, Stanislaw Szufa
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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
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A Scoping Study on AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions Jennifer J. Chen
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A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
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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
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Approximate Counting of Linear Extensions in Practice Topi Talvitie, Mikko Koivisto
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Axiomatization of Non-Recursive Aggregates in First-Order Answer Set Programming Jorge Fandinno, Zachary Hansen, Yuliya Lierler
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Best of Both Worlds: Agents with Entitlements Martin Hoefer, Marco Schmalhofer, Giovanna Varricchio
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Bias Mitigation Methods: Applicability, Legality, and Recommendations for Development Madeleine Waller, Odinaldo Rodrigues, Michelle Seng Ah Lee, Oana Cocarascu
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Block Domain Knowledge-Driven Learning of Chain Graphs Structure Shujing Yang, Fuyuan Cao
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Boolean Observation Games Hans van Ditmarsch, Sunil Simon
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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
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Can Fairness Be Automated? Guidelines and Opportunities for Fairness-Aware AutoML Hilde J. P. Weerts, Florian Pfisterer, Matthias Feurer, Katharina Eggensperger, Edward Bergman, Noor H. Awad, Joaquin Vanschoren, Mykola Pechenizkiy, Bernd Bischl, Frank Hutter
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Collision Avoiding Max-Sum for Mobile Sensor Teams Arseniy Pertzovsky, Roie Zivan, Noa Agmon
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Computational Argumentation-Based Chatbots: A Survey Federico Castagna, Nadin Kökciyan, Isabel Sassoon, Simon Parsons, Elizabeth Sklar
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Computing Pareto-Optimal and Almost Envy-Free Allocations of Indivisible Goods Jugal Garg, Aniket Murhekar
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Computing Unsatisfiable Cores for LTLf Specifications Marco Roveri, Claudio Di Ciccio, Chiara Di Francescomarino, Chiara Ghidini
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conDENSE: Conditional Density Estimation for Time Series Anomaly Detection Alex Moore, Davide Morelli
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Counting Complexity for Reasoning in Abstract Argumentation Johannes Klaus Fichte, Markus Hecher, Arne Meier
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Cross-Domain Constituency Parsing by Leveraging Heterogeneous Data Peiming Guo, Meishan Zhang, Yulong Chen, Jianling Li, Min Zhang, Yue Zhang
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Cultural Bias in Explainable AI Research: A Systematic Analysis Uwe Peters, Mary Carman
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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto
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Declarative Approaches to Outcome Determination in Judgment Aggregation Ari Conati, Andreas Niskanen, Matti Järvisalo
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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
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Differentially Private Neural Tangent Kernels (DP-NTK) for Privacy-Preserving Data Generation Yi Yang, Kamil Adamczewski, Xiaoxiao Li, Danica J. Sutherland, Mijung Park
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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
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Digraph K-Coloring Games: New Algorithms and Experiments Andrea D'Ascenzo, Mattia D'Emidio, Michele Flammini, Gianpiero Monaco
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Does CLIP Know My Face? Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting
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Effectiveness of Tree-Based Ensembles for Anomaly Discovery: Insights, Batch and Streaming Active Learning Shubhomoy Das, Md. Rakibul Islam, Nitthilan Kannappan Jayakodi, Janardhan Rao Doppa
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Efficient and Fair Healthcare Rationing Haris Aziz, Florian Brandl
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Efficiently Adapt to New Dynamic via Meta-Model Kaixin Huang, Chen Zhao, Chun Yuan
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Estimating Agent Skill in Continuous Action Domains Christopher Archibald, Delma Nieves-Rivera
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Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time Teng Guo, Jingjin Yu
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Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length Amer Farea, Frank Emmert-Streib
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Exploiting Contextual Target Attributes for Target Sentiment Classification Bowen Xing, Ivor W. Tsang
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Exploring the Tradeoff Between System Profit and Income Equality Among Ride-Hailing Drivers Evan Yifan Xu, Pan Xu
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Expressing and Exploiting Subgoal Structure in Classical Planning Using Sketches Dominik Drexler, Jendrik Seipp, Hector Geffner
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From Single-Objective to Bi-Objective Maximum Satisfiability Solving Christoph Jabs, Jeremias Berg, Andreas Niskanen, Matti Järvisalo
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General Policies, Subgoal Structure, and Planning Width Blai Bonet, Hector Geffner
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Human Activity Recognition in an Open World Derek S. Prijatelj, Samuel Grieggs, Jin Huang, Dawei Du, Ameya Shringi, Christopher Funk, Adam Kaufman, Eric Robertson, Walter J. Scheirer
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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
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Improving Reproducibility in AI Research: Four Mechanisms Adopted by JAIR Odd Erik Gundersen, Malte Helmert, Holger H. Hoos
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Individual Fairness, Base Rate Tracking and the Lipschitz Condition Benjamin Eva
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Inverting Cryptographic Hash Functions via Cube-and-Conquer Oleg Zaikin
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Iterative Train Scheduling Under Disruption with Maximum Satisfiability Alexandre Lemos, Filipe Gouveia, Pedro T. Monteiro, Inês Lynce
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Language-Models-as-a-Service: Overview of a New Paradigm and Its Challenges Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael J. Wooldridge
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Learning Logic Specifications for Policy Guidance in POMDPs: An Inductive Logic Programming Approach Daniele Meli, Alberto Castellini, Alessandro Farinelli
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Learning to Resolve Social Dilemmas: A Survey Shaheen Fatima, Nicholas R. Jennings, Michael J. Wooldridge
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MallobSat: Scalable SAT Solving by Clause Sharing Dominik Schreiber, Peter Sanders
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Methods for Recovering Conditional Independence Graphs: A Survey Harsh Shrivastava, Urszula Chajewska
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Mitigating Value Hallucination in Dyna-Style Planning via Multistep Predecessor Models Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin J. Talvitie, Michael Bowling, Martha White
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Mixed Fair Division: A Survey Shengxin Liu, Xinhang Lu, Mashbat Suzuki, Toby Walsh
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Multi-Modal Attentive Prompt Learning for Few-Shot Emotion Recognition in Conversations Xingwei Liang, Geng Tu, Jiachen Du, Ruifeng Xu
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Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework Florian Felten, El-Ghazali Talbi, Grégoire Danoy
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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 Alois Moser, Lukas Fischer
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On the Convergence of Swap Dynamics to Pareto-Optimal Matchings Felix Brandt, Anaëlle Wilczynski
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On the Trade-Off Between Redundancy and Cohesiveness in Extractive Summarization Ronald Cardenas, Matthias Galle, Shay B. Cohen
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Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-Assisted Decision Making? Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju
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Performative Ethics from Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression Zari McFadden, Lauren Alvarez
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Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint Yixin Chen, Alan Kuhnle
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Preserving Fairness in AI Under Domain Shift Serban Stan, Mohammad Rostami
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Principles and Their Computational Consequences for Argumentation Frameworks with Collective Attacks Wolfgang Dvorák, Matthias König, Markus Ulbricht, Stefan Woltran
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Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies Felix Weitkämper
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Proof Theory and Decision Procedures for Deontic STIT Logics Tim S. Lyon, Kees van Berkel
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QCDCL vs QBF Resolution: Further Insights Benjamin Böhm, Olaf Beyersdorff
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Quantization Aware Factorization for Deep Neural Network Compression Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak
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Query-Driven Qualitative Constraint Acquisition Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
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Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges Giorgio Franceschelli, Mirco Musolesi
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Removing Bias and Incentivizing Precision in Peer-Grading Anujit Chakraborty, Jatin Jindal, Swaprava Nath
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Right Place, Right Time: Proactive Multi-Robot Task Allocation Under Spatiotemporal Uncertainty Charlie Street, Bruno Lacerda, Manuel Mühlig, Nick Hawes
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Robust Average-Reward Reinforcement Learning Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou
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SAT-Based Decision Tree Learning for Large Data Sets André Schidler, Stefan Szeider
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Satisfiability Modulo User Propagators Katalin Fazekas, Aina Niemetz, Mathias Preiner, Markus Kirchweger, Stefan Szeider, Armin Biere
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Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models Yixin Chen, Tonmoy Dey, Alan Kuhnle
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Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization Furkan Cantürk, Taha Varol, Reyhan Aydogan, Okan Örsan Özener
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Selfishly Prepaying in Financial Credit Networks Hao Zhou, Yongzhao Wang, Konstantinos Varsos, Nicholas Bishop, Rahul Savani, Anisoara Calinescu, Michael J. Wooldridge
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Separating and Collapsing Electoral Control Types Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David E. Narváez, Conor Taliancich, Henry B. Welles
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Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning Tameem Adel
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Simulating Counterfactuals Juha Karvanen, Santtu Tikka, Matti Vihola
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Structure in Deep Reinforcement Learning: A Survey and Open Problems Aditya Mohan, Amy Zhang, Marius Lindauer
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Symbolic Task Inference in Deep Reinforcement Learning Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening
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Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
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The AI Race: Why Current Neural Network-Based Architectures Are a Poor Basis for Artificial General Intelligence Jérémie Sublime
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The Complexity of Subelection Isomorphism Problems Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa
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The Effect of Preferences in Abstract Argumentation Under a Claim-Centric View Michael Bernreiter, Wolfgang Dvorák, Anna Rapberger, Stefan Woltran
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The Goal After Tomorrow: Offline Goal Reasoning with Norms Pere Pardo, Christian Straßer
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The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence Kevin Delcourt, Sylvie Trouilhet, Jean-Paul Arcangeli, Françoise Adreit
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The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models Moschoula Pternea, Prerna Singh, Abir Chakraborty, Yagna D. Oruganti, Mirco Milletarí, Sayli Bapat, Kebei Jiang
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The State of Computer Vision Research in Africa Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa M. Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, Eman Ehab, Gbètondji J.-S. Dovonon, Zainab Akinjobi, Daniel Ajisafe, Oluwabukola G. Adegboro, Mennatullah Siam
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The TOAD System for Totally Ordered HTN Planning Daniel Höller
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Towards Robust Offline-to-Online Reinforcement Learning via Uncertainty and Smoothness Xiaoyu Wen, Xudong Yu, Rui Yang, Haoyuan Chen, Chenjia Bai, Zhen Wang
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Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST) Pouria Salehi, Yang Ba, Nayoung Kim, Ahmadreza Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou
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Truth-Tracking with Non-Expert Information Sources Joseph Singleton, Richard Booth
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Uncertainty as a Fairness Measure Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan
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Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning Rafael Vales Bettker, Pedro Minini, André Grahl Pereira, Marcus Ritt
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Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu, Le Wan, Xiu Li, Zongqing Lu
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Undesirable Biases in NLP: Addressing Challenges of Measurement Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem H. Zuidema, Katrin Schulz
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Unifying SAT-Based Approaches to Maximum Satisfiability Solving Hannes Ihalainen, Jeremias Berg, Matti Järvisalo
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Using Constraint Propagation to Bound Linear Programs Tomás Dlask, Tomás Werner
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USN: A Robust Imitation Learning Method Against Diverse Action Noise Xingrui Yu, Bo Han, Ivor W. Tsang
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Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management Bernd Dudzik, Jasper van der Waa, Pei-Yu Chen, Roel Dobbe, Inago M. D. R. de Troya, Roos M. Bakker, Maaike H. T. de Boer, Quirine T. S. Smit, Davide Dell'Anna, Emre Erdogan, Pinar Yolum, Shihan Wang, Selene Baez Santamaría, Lea Krause, Bart A. Kamphorst
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Visually Grounded Language Learning: A Review of Language Games, Datasets, Tasks, and Models Alessandro Suglia, Ioannis Konstas, Oliver Lemon
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Weighted, Circular and Semi-Algebraic Proofs Ilario Bonacina, Maria Luisa Bonet, Jordi Levy
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