Search Results for author: Walt Woods

Found 5 papers, 1 papers with code

Safety Margins for Reinforcement Learning

no code implementations25 Jul 2023 Alexander Grushin, Walt Woods, Alvaro Velasquez, Simon Khan

Proxy criticality metrics that are computable in real-time (i. e., without actually simulating the effects of random actions) can be compared to the true criticality, and we show how to leverage these proxy metrics to generate safety margins, which directly tie the consequences of potentially incorrect actions to an anticipated loss in overall performance.

reinforcement-learning

LAGOON: An Analysis Tool for Open Source Communities

no code implementations26 Jan 2022 Sourya Dey, Walt Woods

This paper presents LAGOON -- an open source platform for understanding the complex ecosystems of Open Source Software (OSS) communities.

Anomaly Detection with Neural Parsers That Never Reject

no code implementations30 Jul 2021 Alexander Grushin, Walt Woods

However, this also presents a limitation: because the trained neural network can successfully parse any sentence, it cannot be directly used to identify sentences that deviate from the format of the training sentences, i. e., that are anomalous.

Anomaly Detection Sentence

RL-GRIT: Reinforcement Learning for Grammar Inference

no code implementations17 May 2021 Walt Woods

When working to understand usage of a data format, examples of the data format are often more representative than the format's specification.

Constituency Parsing reinforcement-learning +1

Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness

1 code implementation7 Jun 2019 Walt Woods, Jack Chen, Christof Teuscher

For sensitive problems, such as medical imaging or fraud detection, Neural Network (NN) adoption has been slow due to concerns about their reliability, leading to a number of algorithms for explaining their decisions.

Adversarial Defense Fraud Detection +4

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