ServiceNow AI Research

Domain Adaptation

AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery
AgentAda: Skill-Adaptive Data Analytics for Tailored Insight Discovery
We introduce AgentAda, the first LLM-powered analytics agent that can learn and use new analytics skills to extract more specialized …
Workshop at the Annual Meeting of the Association for Computational Linguistics (ACL),  2025.
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Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
Workshop at International Join Conference on Artificial Intelligence (IJCAI),  2022.
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Scaling up ML-based Black-box Planning with Partial STRIPS Models
Scaling up ML-based Black-box Planning with Partial STRIPS Models
A popular approach for sequential decision-making is to perform simulator-based search guided with Machine Learning (ML) methods like …
ICAPS'22 Workshop on Reliable Data-Driven Planning and Scheduling,  2022.
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Active Domain Randomization
Active Domain Randomization
Domain randomization is a popular technique for improving domain transfer, often used in a zero-shot setting when the target domain is …
Conference on Robot Learning (CoRL),  2019.
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Domain-Adaptive Single-view 3D Reconstruction
Domain-Adaptive Single-view 3D Reconstruction
Single-view 3D shape reconstruction is an important but challenging problem, mainly for two reasons. First, as shape annotation is very …
International Conference on Computer Vision (ICCV),  2019.
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Unsupervised Domain Adaptation with Similarity Learning
Unsupervised Domain Adaptation with Similarity Learning
The objective of unsupervised domain adaptation is to leverage features from a labeled source domain and learn a classifier for an …
Computer Vision and Pattern Recognition (CVPR),  2018.
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