Papers
2,647 papers found
Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint)
Lars Malmqvist, Tangming Yuan, Peter Nightingale
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation (Abstract Reprint)
Micheal Abaho, Yousef H. Alfaifi
Program Synthesis with Best-First Bottom-Up Search (Abstract Reprint)
Saqib Ameen, Levi H. S. Lelis
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint)
Pasquale Antonante, Heath Nilsen, Luca Carlone
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
Alexander Braylan, Madalyn Marabella, Omar Alonso et al.
Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint)
Tzu-Yi Chiu, Jerome Le Ny, Jean-Pierre David
Mimicking Behaviors in Separated Domains (Abstract Reprint)
Giuseppe De Giacomo, Dror Fried, Fabio Patrizi et al.
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
Eoin Delaney, Arjun Pakrashi, Derek Greene et al.
Reasoning about Causality in Games (Abstract Reprint)
Lewis Hammond, James Fox, Tom Everitt et al.
A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint)
Matthew J. Holland, Kazuki Tanabe
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)
Kai-Chieh Hsu, Allen Z. Ren, Duy P. Nguyen et al.
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff et al.
Discovering Agents (Abstract Reprint)
Zachary Kenton, Ramana Kumar, Sebastian Farquhar et al.
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf et al.
The Defeat of the Winograd Schema Challenge (Abstract Reprint)
Vid Kocijan, Ernest Davis, Thomas Lukasiewicz et al.
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint)
Jian Li, Yong Liu, Weiping Wang
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
Xuhong Li, Haoyi Xiong, Xingjian Li et al.
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)
Vincent Liu, James R. Wright, Mrtha White
Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint)
Martin Michalowski, Robert Moskovitch, Nitesh V. Chawla
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint)
João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha et al.
Actor Prioritized Experience Replay (Abstract Reprint)
Baturay Saglam, Furkan Mutlu, Dogan Cicek et al.
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint)
Arnab Sarker, Peter Fisher, Joseph Gaudio et al.
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint)
Wout Schellaert, Fernando Martínez-Plumed, Karina Vold et al.
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
Richard S. Sutton, Marlos C. Machado, G. Zacharias Holland et al.