Search Results for author:
Found 3 papers, 2 papers with code
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
To further optimize the LLM-generated programs, we develop a search algorithm named Scheduled Hill Climbing, designed to efficiently explore the programmatic search space to consistently improve the programs.
AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models
Audio-visual representation learning aims to develop systems with human-like perception by utilizing correlation between auditory and visual information.
Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors
Our work demonstrates a new set of silent reconnaissance attacks, which leverages the presence of commodity WiFi devices to track users inside private homes and offices, without compromising any WiFi network, data packets, or devices.
Cryptography and Security
