no code implementations • 24 Apr 2024 • Michael Fore, Simranjit Singh, Dimitrios Stamoulis
In this preliminary study, we investigate a GPT-driven intent-based reasoning approach to streamline tool selection for large language models (LLMs) aimed at system efficiency.
no code implementations • 23 Apr 2024 • Simranjit Singh, Michael Fore, Dimitrios Stamoulis
Geospatial Copilots unlock unprecedented potential for performing Earth Observation (EO) applications through natural language instructions.
no code implementations • 21 Nov 2023 • Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis
Aerial object detection is a challenging task, in which one major obstacle lies in the limitations of large-scale data collection and the long-tail distribution of certain classes.
1 code implementation • ICLR 2020 • Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
We study the most practical problem setup for evaluating adversarial robustness of a machine learning system with limited access: the hard-label black-box attack setting for generating adversarial examples, where limited model queries are allowed and only the decision is provided to a queried data input.