248 citations · 289 across the 9 of their papers we have counts for
10 papers
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
Colin White, Samuel Dooley, Manley Roberts +15
Test set contamination, wherein test data from a benchmark ends up in a newer model's training set, is a well-documented obstacle for fair LLM evaluation and can quickly render ben…
Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras
Sandeep Singh Sandha, Bharathan Balaji, Luis Garcia +1
Existing approaches for autonomous control of pan-tilt-zoom (PTZ) cameras use multiple stages where object detection and localization are performed separately from the control of t…
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava
The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning…
Quick Question: Interrupting Users for Microtasks with Reinforcement Learning
Bo-Jhang Ho, Bharathan Balaji, Mehmet Koseoglu +3
Human attention is a scarce resource in modern computing. A multitude of microtasks vie for user attention to crowdsource information, perform momentary assessments, personalize se…
MANGO: A Python Library for Parallel Hyperparameter Tuning
Sandeep Singh Sandha, Mohit Aggarwal, Igor Fedorov +1
Tuning hyperparameters for machine learning algorithms is a tedious task, one that is typically done manually. To enable automated hyperparameter tuning, recent works have started…
StreetX: Spatio-Temporal Access Control Model for Data
Sandeep Singh Sandha
Cities are a big source of spatio-temporal data that is shared across entities to drive potential use cases. Many of the Spatio-temporal datasets are confidential and are selective…