Search Results for author: Brian D. Davison

Found 22 papers, 11 papers with code

Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts

no code implementations3 Dec 2023 Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John Nicholson, Brian D. Davison

As a result, it raises concerns about the overall robustness of the machine learning techniques for computer vision applications that are deployed publicly for consumers.

Data Augmentation Transfer Learning

Deep Feature Registration for Unsupervised Domain Adaptation

no code implementations24 Oct 2023 Youshan Zhang, Brian D. Davison

While unsupervised domain adaptation has been explored to leverage the knowledge from a labeled source domain to an unlabeled target domain, existing methods focus on the distribution alignment between two domains.

Pseudo Label Unsupervised Domain Adaptation

Unconfounded Propensity Estimation for Unbiased Ranking

no code implementations17 May 2023 Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison

The goal of unbiased learning to rank (ULTR) is to leverage implicit user feedback for optimizing learning-to-rank systems.


Model-based Unbiased Learning to Rank

1 code implementation24 Jul 2022 Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Dawei Yin, Brian D. Davison

Existing methods in unbiased learning to rank typically rely on click modeling or inverse propensity weighting (IPW).

Information Retrieval Learning-To-Rank +1

StruBERT: Structure-aware BERT for Table Search and Matching

1 code implementation27 Mar 2022 Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin

In this paper, we propose StruBERT, a structure-aware BERT model that fuses the textual and structural information of a data table to produce context-aware representations for both textual and tabular content of a data table.

Table Retrieval Table Search

Memory Defense: More Robust Classification via a Memory-Masking Autoencoder

1 code implementation5 Feb 2022 Eashan Adhikarla, Dan Luo, Brian D. Davison

Ideally, a robust classifier would be immune to small variations in input images, and a number of defensive approaches have been created as a result.

Classification Robust classification

Deep Least Squares Alignment for Unsupervised Domain Adaptation

1 code implementation3 Nov 2021 Youshan Zhang, Brian D. Davison

Unsupervised domain adaptation leverages rich information from a labeled source domain to model an unlabeled target domain.

Unsupervised Domain Adaptation

Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net

no code implementations22 Jun 2021 Youshan Zhang, Brian D. Davison, Vivien W. Talghader, Zhiyu Chen, Zhiyong Xiao, Gary J. Kunkel

To further improve segmentation results, we are the first to propose a post-processing layer to remove irrelevant portions in the segmentation result.

Image Segmentation Segmentation +1

Correlated Adversarial Joint Discrepancy Adaptation Network

no code implementations18 May 2021 Youshan Zhang, Brian D. Davison

To address these issues, we propose a novel approach called correlated adversarial joint discrepancy adaptation network (CAJNet), which minimizes the joint discrepancy of two domains and achieves competitive performance with tuning parameters using the correlated label.

Unsupervised Domain Adaptation

Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation

no code implementations5 May 2021 Youshan Zhang, Brian D. Davison

To align the conditional distributions, we further develop an easy-to-hard pseudo label refinement process to improve the quality of the pseudo labels and then reduce categorical spherical manifold Gaussian kernel geodesic loss.

Pseudo Label Unsupervised Domain Adaptation

WTR: A Test Collection for Web Table Retrieval

1 code implementation5 May 2021 Zhiyu Chen, Shuo Zhang, Brian D. Davison

We describe the development, characteristics and availability of a test collection for the task of Web table retrieval, which uses a large-scale Web Table Corpora extracted from the Common Crawl.

Table Retrieval Test

Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation

1 code implementation27 Apr 2021 Youshan Zhang, Brian D. Davison

In this paper, we show how to efficiently opt for the best pre-trained features from seventeen well-known ImageNet models in unsupervised DA problems.

Unsupervised Domain Adaptation

Adversarial Regression Learning for Bone Age Estimation

1 code implementation10 Mar 2021 Youshan Zhang, Brian D. Davison

In this paper, we propose an adversarial regression learning network (ARLNet) for bone age estimation.

Age Estimation regression +1

Neural ranking models for document retrieval

no code implementations23 Feb 2021 Mohamed Trabelsi, Zhiyu Chen, Brian D. Davison, Jeff Heflin

A variety of deep learning models have been proposed, and each model presents a set of neural network components to extract features that are used for ranking.

Information Retrieval Retrieval

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification

2 code implementations5 Jul 2020 Hui Ye, Zhiyu Chen, Da-Han Wang, Brian D. Davison

Extreme multi-label text classification (XMTC) is a task for tagging a given text with the most relevant labels from an extremely large label set.

Multi-Label Text Classification

Table Search Using a Deep Contextualized Language Model

1 code implementation19 May 2020 Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, Brian D. Davison

Pretrained contextualized language models such as BERT have achieved impressive results on various natural language processing benchmarks.

Language Modelling Table Retrieval +1

Impact of ImageNet Model Selection on Domain Adaptation

1 code implementation6 Feb 2020 Youshan Zhang, Brian D. Davison

We extract features from sixteen distinct pre-trained ImageNet models and examine the performance of twelve benchmarking methods when using the features.

Benchmarking Domain Adaptation +2

Leveraging Schema Labels to Enhance Dataset Search

no code implementations27 Jan 2020 Zhiyu Chen, Haiyan Jia, Jeff Heflin, Brian D. Davison

We incorporate the generated schema labels into a mixed ranking model which not only considers the relevance between the query and dataset metadata but also the similarity between the query and generated schema labels.

Table Retrieval Test

IP Geolocation through Reverse DNS

no code implementations10 Nov 2018 Ovidiu Dan, Vaibhav Parikh, Brian D. Davison

We propose a systematic approach to use publicly accessible reverse DNS hostnames for geolocating IP addresses.

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