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Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada

Conference

2024

Vancouver, Canada

Zhaoxuan Wu (SMART), Xiaoqiang Lin (NUS), Zhongxiang Dai (CUHK-Shenzhen), Wenyang Hu (NUS), Yao Shu (Guangdong Lab of AI), See-Kiong Ng (NUS), Patrick Jaillet (MIT), Bryan Low (SMART & NUS)

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

Annual Conference on Neural Information Processing Systems (NeurIPS)

Conference

2024

Vancouver, Canada

Zijian Zhou (SMART), Xiaoqiang Lin (NUS), Xinyi Xu (NUS), Alok Prakash (SMART), Daniela Rus (SMART & MIT), Bryan Low (SMART & NUS)

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

Quoc Phong Nguyen (Deakin University), Bryan Low (SMART & NUS), Patrick Jaillet (MIT)

Robustifying and Boosting Training-Free Neural Architecture Search

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

Zhenfeng He (NUS), Yao Shu (Guangdong Lab of AI), Zhongxiang Dai (MIT), Bryan Low (SMART & NUS)

Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components

The 41st International Conference on Machine Learning (ICML), Vienna, Austria

Conference

2024

Vienna, Austria

Zhiliang Chen (NUS), Chuan Sheng Foo (A*STAR), Bryan Low (SMART & NUS)

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.

The 41st International Conference on Machine Learning (ICML)

Conference

2024

Vienna, Austria

Xiaoqiang Lin (NUS, co-first author), Zhaoxuan Wu** (SMART, co-first author), Zhongxiang Dai (MIT), Wenyang Hu (NUS), Yao Shu (Guangdong Lab of AI), See-Kiong Ng (NUS), Patrick Jaillet (MIT), Bryan Low (SMART & NUS)

CAS: Fusing DNN Optimization & Adaptive Sensing for Energy-Efficient Multi-Modal Inference

IEEE Robotics and Automation Letters

Journal

2024

IEEE

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

Poster: Towards Efficient Spatio-Temporal Video Grounding in Pervasive Mobile Devices

MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services

Conference

2024

ACM

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

LILOC: Leveraging LiDARs for Accurate 3D Localization in Dynamic Indoor Environments

ACM Transactions on Internet of Things

Journal

2024

ACM

NeuroViG - Integrating Event Cameras for Resource- Efficient Video Grounding

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)

Conference

2025

IEEE

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

Advances in Neural Information Processing Systems

Conference

2024

Vancouver, Canada

Zijian Zhou (SMART)

Impacts of remote work on vehicle miles traveled and transit ridership in the USA

Nature Cities

Journal

2024

Springer Nature

Yunhan Zheng (SMART), Shenhao Wang (UF), Lun Liu (PKU), Jim Aloisi (MIT), and Jinhua Zhao (MIT)

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark

Transportation Research Part B: Methodological

Journal

2024

Elsevier

Shenhao Wang (UF), Baichuan Mo (MIT), Yunhan Zheng (SMART), Stephane Hess (Leeds), Jinhua Zhao (MIT)

Effects of electric vehicle charging stations on the economic vitality of local businesses

Nature Communications

Journal

2024

Springer Nature

Yunhan Zheng (SMART), Shenhao Wang (UF), Lun Liu (PKU), Jim Aloisi (MIT), and Jinhua Zhao (MIT)

Infrequent activities predict economic outcomes in major American cities

Nature Cities

Journal

2024

Springer Nature

Shenhao Wang (UF), Yunhan Zheng (SMART), Guang Wang (MIT), Takahiro Yabe (MIT), Esteban Moro (MIT), Alex "Sandy" Pentland (MIT)

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

CHI'24: ACM Conference on Human Factors in Computing Systems

Conference

2024

ACM

Jie Gao (SMART), Simret Araya Gebreegziabher, Kenny Tsu Wei Choo, Toby Jia-Jun Li, Simon Tangi Perrault, Thomas W Malone (MIT)

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