Search Results for author: Yue Guo

Found 8 papers, 5 papers with code

Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts

no code implementations ACL 2022 Yue Guo, Yi Yang, Ahmed Abbasi

Specifically, we propose a variant of the beam search method to automatically search for biased prompts such that the cloze-style completions are the most different with respect to different demographic groups.

Fairness Pretrained Language Models

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

no code implementations22 Nov 2022 Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis

Meta-learning of numerical algorithms for a given task consist of the data-driven identification and adaptation of an algorithmic structure and the associated hyperparameters.

Inductive Bias Meta-Learning

Explainable Action Advising for Multi-Agent Reinforcement Learning

no code implementations15 Nov 2022 Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara

This allows the student to self-reflect on what it has learned, enabling advice generalization and leading to improved sample efficiency and learning performance - even in environments where the teacher is sub-optimal.

Multi-agent Reinforcement Learning reinforcement-learning +2

CELLS: A Parallel Corpus for Biomedical Lay Language Generation

1 code implementation7 Nov 2022 Yue Guo, Wei Qiu, Gondy Leroy, Sheng Wang, Trevor Cohen

Recent lay language generation systems have used Transformer models trained on a parallel corpus to increase health information accessibility.

Explanation Generation Retrieval +1

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators

2 code implementations4 May 2021 Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

As a case study, we develop a machine learning approach that automatically learns effective solvers for initial value problems in the form of ordinary differential equations (ODEs), based on the Runge-Kutta (RK) integrator architecture.

Meta-Learning

Automated Lay Language Summarization of Biomedical Scientific Reviews

1 code implementation23 Dec 2020 Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen

Health literacy has emerged as a crucial factor in making appropriate health decisions and ensuring treatment outcomes.

Data Augmentation

Learning Modulated Loss for Rotated Object Detection

2 code implementations19 Nov 2019 Wen Qian, Xue Yang, Silong Peng, Yue Guo, Junchi Yan

Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss as the loss function.

object-detection Object Detection In Aerial Images +1

Surface Defect Saliency of Magnetic Tile

1 code implementation24 Aug 2018 Yibin Huang, Congying Qiu, Yue Guo, Xiaonan Wang, and Kui Yuan

Vision-based detection on surface defects has long postulated in the magnetic tile automation process.

 Ranked #1 on Anomaly Detection on Surface Defect Saliency of Magnetic Tile (Segmentation AUROC metric, using extra training data)

Anomaly Detection Defect Detection +1

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