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Papers matching “task effects” 397

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Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
2026 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Reinforcement Learning in Robotics Open access

Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova

0

citations
Curriculum Approximate Unlearning for Session-based Recommendation
2025 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xinyi Li, Maarten de Rijke

0

citations
Audiovisual angle and voice incongruence do not affect audiovisual verbal short-term memory in virtual reality
2025 PLoS ONE article Computer Science Virtual Reality Applications and Impacts Open access

Cosima A. Ermert, Manuj Yadav, Jonathan Ehret, Chinthusa Mohanathasan, Andrea Bönsch, Torsten Kuhlen, +2 more

0

citations
Audiovisual angle and voice incongruence do not affect audiovisual verbal short-term memory in virtual reality
2025 PLoS ONE article Computer Science Virtual Reality Applications and Impacts Open access

Cosima A. Ermert, Manuj Yadav, Jonathan Ehret, Chinthusa Mohanathasan, Andrea Bönsch, Torsten Kuhlen, +2 more

0

citations
Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification
2026 European Radiology Experimental article Computer Science Medical Image Segmentation Techniques Open access

Elena Rama, Sihe Yu, Sarah Schraven, Zachary Gurberg, Ekaterina Savina, J Liu, +3 more

0

citations
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
2022 RWTH Publications (RWTH Aachen) conference-paper Computer Science Video Surveillance and Tracking Methods Open access

Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, +1 more

2

citations
MAIR: A Massive Benchmark for Evaluating Instructed Retrieval
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Weiwei Sun, Zhengliang Shi, Kesheng John Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, +2 more

1

citations
Automating Data Science
2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

Pavel Brazdil, Jan N. van Rijn, Carlos Soares, Joaquin Vanschoren

5

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) conference-paper Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

1

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
D5.2: Specification of QRL algorithm for inventory management
2022 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Quantum Computing Algorithms and Architecture Open access

Vedran Dunjko, Simon C. Marshall

0

citations
Efficient person detection with LiDAR sensors for mobile robots
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Dan Ping Jia

0

citations
Reinforcement learning for real-world production systems
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Reinforcement Learning in Robotics Open access

0

citations
Parametrized Quantum Policies for Reinforcement Learning
2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Sofiène Jerbi, Casper Gyurik, Hans J. Briegel, Vedran Dunjko

10

citations
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI) conference-paper Computer Science Reinforcement Learning in Robotics

Christian Scheiderer, Malte Mosbach, Andrés Felipe Posada-Moreno, Tobias Meisen

7

citations
CNN based 2D vs. 3D Segmentation of Bone in Ultrasound Images
2022 EPiC series in health sciences conference-paper Computer Science Medical Image Segmentation Techniques Open access

Benjamin Hohlmann, Peter Brößner, Klaus Radermacher

2

citations
A Unified Moral-Value Dataset for Instruction Tuning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhaohui Zeng, Florian Mai

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

0

citations
How role-play shapes relevance judgment in zero-shot LLM rankers
2025 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Yumeng Wang, Jirui Qi, Catherine Chen, Panagiotis Eustratiadis, Suzan Verberne

0

citations
Editorial
2023 Computational Intelligence editorial Computer Science Robotic Path Planning Algorithms

Meng Joo Er, Zhaojie Ju, Alexander Ferrein

0

citations
Editorial: Generative artificial intelligence and writing instruction in K–12 and college education
2026 Frontiers in Education editorial Computer Science Artificial Intelligence in Education Open access

Gustaf Bernhard Uno Skar, Steve Graham, Jill V. Jeffery

0

citations
Deep learning of causal structures in high dimensions under data limitations
2023 Nature Machine Intelligence article Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

65

citations
Topic Modeling for Interpretable Text Classification From EHRs
2022 Frontiers in Big Data article Computer Science Machine Learning in Healthcare Open access

Emil Rijcken, Uzay Kaymak, Floortje E. Scheepers, Pablo J. Mosteiro, Kalliopi Zervanou, Marco René Spruit

36

citations
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker
2023 ACM Transactions on Information Systems article Computer Science Information Retrieval and Search Behavior Open access

Arian Askari, Suzan Verberne, Amin Abolghasemi, Wessel Kraaij, Gabriella Pasi

29

citations