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Papers matching “task decomposition” 11

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Combined Task and Motion Planning Via Sketch Decompositions (Extended Version with Supplementary Material)
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Magí Dalmau, Néstor García, Vicenç Gómez, Héctor Geffner

0

citations
An Empirical Study on Chinese Character Decomposition in Multiword Expression-Aware Neural Machine Translation
2025 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Lifeng Han

0

citations
A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things
2020 Research Square preprint Computer Science IoT and Edge/Fog Computing Open access

Xiaoyu Hao, Ruohai Zhao, Tao Yang, Yulin Hu, Bo Hu, Yuhe Qiu

0

citations
Implicit Assumptions About Tasks in Continual Learning
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Kathrin Korte, Christian Metzner, Akshay Bedhotiya, Viet Anh Tran, Eleni Nisioti, Sebastian Risi

0

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

1

citations
Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms
2021 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Alexander Marx, Lincen Yang, Matthijs van Leeuwen

0

citations
Learning Sketch Decompositions in Planning via Deep Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Héctor Geffner

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
Improving Factored Hybrid HMM Acoustic Modeling without State Tying
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney

0

citations

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