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Home » Archives for Yi Yao
Yi Yao

Yi Yao

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Publications

Multi-modal data analytics publications May 27, 2022

Time-Space Processing for Small Ship Detection in SAR

Yi Yao

This paper presents a new 3D time-space detector for small ships in single look complex (SLC) synthetic aperture radar (SAR) imagery, optimized for small targets around 5-15 m long that are unfocused due to target motion induced by ocean surface waves.

Machine learning publications October 25, 2021

Generating and Evaluating Explanations of Attended and Error-Inducing Input Regions for VQA Models

Ajay Divakaran, Yi Yao

Error maps can indicate when a correctly attended region may be processed incorrectly leading to an incorrect answer, and hence, improve users’ understanding of those cases.

Machine learning publications April 1, 2021

Modular Adaptation for Cross-Domain Few-Shot Learning

Ajay Divakaran, Yi Yao

While literature has demonstrated great successes via representation learning, in this work, we show that improvement of downstream tasks can also be achieved by appropriate designs of the adaptation process.

Machine learning publications April 1, 2021

Confidence Calibration for Domain Generalization under Covariate Shift

Yi Yao, Ajay Divakaran, Melinda Gervasio

We present novel calibration solutions via domain generalization. Our core idea is to leverage multiple calibration domains to reduce the effective distribution disparity between the target and calibration domains for improved calibration transfer without needing any data from the target domain.

Machine learning publications November 19, 2020

Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning

Yi Yao, Ajay Divakaran

We introduce Hybrid Consistency Training to jointly leverage interpolation consistency, including interpolating hidden features, that imposes linear behavior locally and data augmentation consistency that learns robust embeddings against sample variations.

Multi-modal data analytics publications June 15, 2019

Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation

Ajay Divakaran, Yi Yao

We propose novel Stacked Spatio-Temporal Graph Convolutional Networks (Stacked-STGCN) for action segmentation, i.e., predicting and localizing a sequence of actions over long videos.

Machine learning publications April 2, 2019

Lucid Explanations Help: Using a Human-AI Image-Guessing Game to Evaluate Machine Explanation Helpfulness

Ajay Divakaran, Yi Yao

We propose a Twenty-Questions style collaborative image retrieval game as a method of evaluating the efficacy of explanations (visual evidence or textual justification) in the context of Visual Question Answering.

Machine learning publications June 18, 2018

Evaluating Visual-Semantic Explanations using a Collaborative Image Guessing Game

Yi Yao, Rakesh Kumar

Abstract While there have been many proposals on making AI algorithms explainable, few have attempted to evaluate the impact of AI-generated explanations on human performance in conducting human-AI collaborative tasks. To bridge the gap, we propose a Twenty-Questions style collaborative image retrieval game, Explanation-assisted Guess Which (ExAG), as a method of evaluating the efficacy of […]

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