Collaborating Authors

Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents Machine Learning

Recent advances in Neural Architecture Search (NAS) have produced state-of-the-art architectures on several tasks. NAS shifts the efforts of human experts from developing novel architectures directly to designing architecture search spaces and methods to explore them efficiently. The search space definition captures prior knowledge about the properties of the architectures and it is crucial for the complexity and the performance of the search algorithm. However, different search space definitions require restarting the learning process from scratch. We propose a novel agent based on the Transformer that supports joint training and efficient transfer of prior knowledge between multiple search spaces and tasks.

Agents Search Woods for Evidence in Boys' 1975 Disappearance

U.S. News

FBI agents have searched a wildlife refuge along the Jersey shore as they investigate the decades-old disappearance of two boys who were roommates at a state facility for children with developmental disabilities.

Cooperative Search with Concurrent Interactions

Journal of Artificial Intelligence Research

In this paper we show how taking advantage of autonomous agents' capability to maintain parallel interactions with others, and incorporating it into the cooperative economic search model results in a new search strategy which outperforms current strategies in use. As a framework for our analysis we use the electronic marketplace, where buyer agents have the incentive to search cooperatively. The new search technique is quite intuitive, however its analysis and the process of extracting the optimal search strategy are associated with several significant complexities. These difficulties are derived mainly from the unbounded search space and simultaneous dual affects of decisions taken along the search. We provide a comprehensive analysis of the model, highlighting, demonstrating and proving important characteristics of the optimal search strategy. Consequently, we manage to come up with an efficient modular algorithm for extracting the optimal cooperative search strategy for any given environment. A computational based comparative illustration of the system performance using the new search technique versus the traditional methods is given, emphasizing the main differences in the optimal strategy's structure and the advantage of using the proposed model.

FBI agents serve search warrant at the home of Paul Manafort, Trump's former campaign chairman

Los Angeles Times

Tillerson says no "imminent threat" from North Korea President Trump to get briefed on worsening opioid epidemic President Trump, who got five draft deferments, renews attack on Democrat's military record Vice President Mike Pence denies 2020 presidential ambitions Atty. President Trump, who got five draft deferments, renews attack on Democrat's military record FBI agents served search warrant at home of Paul Manafort, Trump's former campaign chairman A spokesman for President Trump's former campaign chairman, Paul Manafort, said Wednesday that FBI agents served a search warrant at one of Manafort's homes last month. Spokesman Jason Maloni said Manafort cooperated with the agents as he has "consistently" done. The predawn raid was conducted on July 26, the Washington Post reported. Manafort has been a subject of a longstanding FBI investigation into his dealings in Ukraine and work for the country's former president, Viktor Yanukovych.