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03/30/2023
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
Software engineers develop, fine-tune, and deploy deep learning (DL) mod...
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03/15/2023
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages
Due to the cost of developing and training deep learning models from scr...
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03/13/2023
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision
Many engineering organizations are reimplementing and extending deep neu...
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03/05/2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry
Deep Neural Networks (DNNs) are being adopted as components in software ...
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03/05/2023
Discrepancies among Pre-trained Deep Neural Networks: A New Threat to Model Zoo Reliability
Training deep neural networks (DNNs) takes signifcant time and resources...
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07/24/2022
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics
Software metrics capture information about software development processe...
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12/09/2021
A Note on Comparison of F-measures
We comment on a recent TKDE paper "Linear Approximation of F-measure for...
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07/02/2021
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors
Machine learning techniques are becoming a fundamental tool for scientif...
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12/29/2020
Statistical Formulas for F Measures
We provide analytic formulas for the standard error and confidence inter...
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10/24/2019
Conditional variable screening via ordinary least squares projection
To deal with the growing challenge from high dimensional data, we propos...
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09/19/2019
Multi-sense Definition Modeling using Word Sense Decompositions
Word embeddings capture syntactic and semantic information about words. ...
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12/04/2018
On the sure screening property of the iterative sure independence screening algorithm
The iterative version of the sure independence screening algorithm (ISIS...
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04/16/2018
Ecological Regression with Partial Identification
We study a partially identified linear contextual effects model for ecol...
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07/19/2016
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection
Community detection has been an active research area for decades. Among ...
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01/30/2013
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results
We investigate a class of hierarchical mixtures-of-experts (HME) models ...
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10/10/2011
Convergence Rates for Mixture-of-Experts
In mixtures-of-experts (ME) model, where a number of submodels (experts)...
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10/31/2008
