ServiceNow 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.
PDF Cite
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.
PDF Cite Code
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.
PDF Cite Code
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.
PDF Cite Code
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.
PDF Cite Code
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.
PDF Cite