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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

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

Annual Conference on Neural Information Processing Systems (NeurIPS)

Conference

2024

Vancouver, Canada

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

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

Robustifying and Boosting Training-Free Neural Architecture Search

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

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

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

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

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

IEEE Robotics and Automation Letters

Journal

2024

IEEE

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

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

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

Conference

2024

ACM

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

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

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

Conference

2025

IEEE

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

Zijian Zhou (SMART)

Advances in Neural Information Processing Systems

Conference

2024

Vancouver, Canada

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

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

Nature Cities

Journal

2024

Springer Nature

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

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

Transportation Research Part B: Methodological

Journal

2024

Elsevier

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

Yunhan Zheng (SMART), David Keith (University of Melbourne), Shenhao Wang (UF), Diao Mi (Tongji), Jinhua Zhao (MIT)

Nature Communications

Journal

2024

Springer Nature

Infrequent activities predict economic outcomes in major American cities

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

Nature Cities

Journal

2024

Springer Nature

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

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

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

Conference

2024

ACM

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