George K. Thiruvathukal

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All published works

Action	Title	Year	Authors
+ PDF Chat	Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software?	2024	Ryan Hasler Konstantin Läufer George K. Thiruvathukal Haiyan Peng Kyle Robinson Kirsten Davis Yung-Hsiang Lu James C. Davis
+ PDF Chat	What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims	2024	Jason Jones Wenxin Jiang Nicholas Synovic George K. Thiruvathukal James C. Davis
+ PDF Chat	Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions	2024	Haiyan Peng Arjun Gupte Nicholas Eliopoulos Cheryl Ho Rishi Mantri Li Deng Wenxin Jiang Yung-Hsiang Lu Konstantin Läufer George K. Thiruvathukal
+	Challenges and practices of deep learning model reengineering: A case study on computer vision	2024	Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis
+ PDF Chat	WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+	2024	Konstantin Läufer Gunda Mertin George K. Thiruvathukal
+ PDF Chat	What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims	2024	Jason Jones Wenxin Jiang Nicholas Synovic George K. Thiruvathukal James C. Davis
+ PDF Chat	A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things	2024	Isaac Ahlgren Jack West Kyuin Lee George K. Thiruvathukal Neil Klingensmith
+ PDF Chat	Impact of Architectural Modifications on Deep Learning Adversarial Robustness	2024	Firuz Juraev Mohammed Abuhamad Simon S. Woo George K. Thiruvathukal Tamer Abuhmed
+ PDF Chat	From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings	2024	Firuz Juraev Mohammed Abuhamad Eric Chan‐Tin George K. Thiruvathukal Tamer Abuhmed
+ PDF Chat	Reusing Deep Learning Models: Challenges and Directions in Software Engineering	2024	James C. Davis Purvish Jajal Wenxin Jiang Taylor R. Schorlemmer Nicholas Synovic George K. Thiruvathukal
+ PDF Chat	PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software	2024	Wenxin Jiang Jerin Yasmin Jason Jones Nicholas Synovic Jiashen Kuo Nathaniel Bielanski Yuan Tian George K. Thiruvathukal James C. Davis
+ PDF Chat	A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things	2024	Isaac Ahlgren Jack West Kyuin Lee George K. Thiruvathukal Neil Klingensmith
+ PDF Chat	2023 Low-Power Computer Vision Challenge (LPCVC) Summary	2024	Yi Chen Benjamin Boardley Ping Hu Yiru Wang Yifan Pu Xin Jin Yongqiang Yao Ruihao Gong Bo Li Gao Huang
+ PDF Chat	PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software	2024	Wenxin Jiang Jerin Yasmin Jason Jones Nicholas Synovic Jiashen Kuo Nathaniel Bielanski Yuan Tian George K. Thiruvathukal James C. Davis
+ PDF Chat	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions	2024	Caleb Tung Nicholas Eliopoulos Purvish Jajal Gowri Ramshankar Chengyun Yang Nicholas Synovic Xuecen Zhang Vipin Chaudhary George K. Thiruvathukal Yung‐Hsiang Lu
+	Integer Partition	2023	Yung-Hsiang Lu George K. Thiruvathukal
+	Programming Problems Using Structure	2023	Yung-Hsiang Lu George K. Thiruvathukal
+ PDF Chat	Reusing Deep Learning Models: Challenges and Directions in Software Engineering	2023	James C. Davis Purvish Jajal Wenxin Jiang Taylor R. Schorlemmer Nicholas Synovic George K. Thiruvathukal
+ PDF Chat	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages	2023	Wenxin Jiang Nicholas Synovic Purvish Jajal Taylor R. Schorlemmer Arav Tewari Bhavesh Pareek George K. Thiruvathukal James C. Davis
+ PDF Chat	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry	2023	Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R. Schorlemmer Rohan Sethi Yung‐Hsiang Lu George K. Thiruvathukal James C. Davis
+ PDF Chat	Observing Human Mobility Internationally During COVID-19	2023	Shane Allcroft Mohammed Metwaly Zachery Berg Isha Ghodgaonkar Fischer Bordwell Xinxin Zhao Xinglei Liu Jiahao Xu Subhankar Chakraborty Vishnu Banna
+	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry	2023	Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R. Schorlemmer Rohan Sethi Yung‐Hsiang Lu George K. Thiruvathukal James C. Davis
+	Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision	2023	Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis
+	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages	2023	Wenxin Jiang Nicholas Synovic Purvish Jajal Taylor R. Schorlemmer Arav Tewari Bhavesh Pareek George K. Thiruvathukal James C. Davis
+	Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem	2023	Purvish Jajal Wenxin Jiang Arav Tewari Joseph Woo Yung‐Hsiang Lu George K. Thiruvathukal James C. Davis
+	Single-Class Target-Specific Attack against Interpretable Deep Learning Systems	2023	Eldor Abdukhamidov Mohammed Abuhamad George K. Thiruvathukal Hyoungshick Kim Tamer Abuhmed
+	Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs	2023	Wenxin Jiang Chingwo Cheung George K. Thiruvathukal James C. Davis
+	PeaTMOSS: Mining Pre-Trained Models in Open-Source Software	2023	Wenxin Jiang Jason Jones Jerin Yasmin Nicholas Synovic Rajeev Sashti Sophie Chen George K. Thiruvathukal Yuan Tian James C. Davis
+	An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions	2023	Caleb Tung Nicholas Eliopoulos Purvish Jajal Gowri Ramshankar Chen-Yun Yang Nicholas Synovic Xuecen Zhang Vipin Chaudhary George K. Thiruvathukal Yung‐Hsiang Lu
+	SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA)	2023	Isaac Ahlgren Jack West Kyuin Lee George K. Thiruvathukal Neil Klingensmith
+	Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics	2022	Nicholas Synovic Matt Hyatt Rohan Sethi Sohini Thota Shilpika Allan J. Miller Wenxin Jiang Emmanuel S. Amobi Austin Pinderski Konstantin Läufer
+ PDF Chat	Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps	2022	Yucheng Yang Jack West George K. Thiruvathukal Neil Klingensmith Kassem Fawaz
+ PDF Chat	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision	2022	Caleb Tung Abhinav Goel Xiao Hu Nicholas Eliopoulos Emmanuel S. Amobi George K. Thiruvathukal Vipin Chaudhary Yung-Hsiang Lu
+	Why Accuracy is Not Enough: The Need for Consistency in Object Detection	2022	Caleb Tung Abhinav Goel Fischer Bordwell Nicholas Eliopoulos Xiao Hu Yung-Hsiang Lu George K. Thiruvathukal
+ PDF Chat	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks	2022	Abhinav Goel Caleb Tung Xiao Hu George K. Thiruvathukal James C. Davis Yung-Hsiang Lu
+	Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps	2022	Yucheng Yang Jack West George K. Thiruvathukal Neil Klingensmith Kassem Fawaz
+	Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision	2022	Caleb Tung Abhinav Goel Xiao Hu Nicholas Eliopoulos Emmanuel Amobi George K. Thiruvathukal Vipin Chaudhary Yung‐Hsiang Lu
+	Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics	2022	Nicholas Synovic Matt Hyatt Rohan Sethi Sohini Thota Shilpika Allan J. Miller Wenxin Jiang Emmanuel S. Amobi Austin Pinderski Konstantin Läufer
+ PDF Chat	Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology	2021	Gregory J. Matthews Karthik Bharath Sebastian Kurtek Juliet K. Brophy George K. Thiruvathukal Ofer Harel
+ PDF Chat	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks	2021	Abhinav Goel Caleb Tung Xiao Hu Haobo Wang James C. Davis George K. Thiruvathukal Yung-Hsiang Lu
+	An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors	2021	Vishnu Banna Akhil Chinnakotla Zhengxin Yan Anirudh Vegesana Naveen Vivek Kruthi Krishnappa Wenxin Jiang Yung-Hsiang Lu George K. Thiruvathukal James C. Davis
+	Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication.	2021	Jack West Kyuin Lee Suman Banerjee Younghyun Kim George K. Thiruvathukal Neil Klingensmith
+	Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages	2021	Ryan Dailey Aniesh Chawla Andrew Liu Sripath Mishra Ling Zhang Josh Majors Yung-Hsiang Lu George K. Thiruvathukal
+	Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages.	2021	Ryan Dailey Aniesh Chawla Andy Liu Sripath Mishra Ling Zhang Josh Majors Yung-Hsiang Lu George K. Thiruvathukal
+	Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks	2021	Abhinav Goel Caleb Tung Xiao Hu Haobo Wang James C. Davis George K. Thiruvathukal Yung-Hsiang Lu
+	An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors	2021	Vishnu Banna Akhil Chinnakotla Zhengxin Yan Anirudh Vegesana Naveen Vivek Kruthi Krishnappa Wenxin Jiang Yung‐Hsiang Lu George K. Thiruvathukal James C. Davis
+	Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication	2021	Jack West Kyuin Lee Suman Banerjee Younghyun Kim George K. Thiruvathukal Neil Klingensmith
+	Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks	2021	Abhinav Goel Caleb Tung Xiao Hu George K. Thiruvathukal James C. Davis Yung‐Hsiang Lu
+ PDF Chat	Low-power object counting with hierarchical neural networks	2020	Abhinav Goel Caleb Tung Sara Aghajanzadeh Isha Ghodgaonkar Shreya Ghosh George K. Thiruvathukal Yung-Hsiang Lu
+ PDF Chat	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal
+	Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras	2020	Isha Ghodgaonkar Abhinav Goel Fischer Bordwell Caleb Tung Sara Aghajanzadeh Noah Curran Ryan Chen Kaiwen Yu Sneha Mahapatra Vishnu Banna
+ PDF Chat	FLIC: A Distributed Fog Cache for City-Scale Applications	2020	Jack West Neil Klingensmith George K. Thiruvathukal
+	FLIC: A Distributed Fog Cache for City-Scale Applications	2020	Jack West Neil Kingensmith George K. Thiruvathukal
+	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal
+	VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract)	2020	Jack West Tien VoNguyen Isaac Ahlgren Iryna Motyashok George K. Thiruvathukal Neil Klingensmith
+	Using Network Cameras to Observe COVID-19 Social Distancing	2020	Abhinav Goel Aditya Chakraborty Akhil Chinnakotla Ashley Kim Caleb Tung Damini Rijhwani Fischer Bordwell Gore Kao Isha Ghodgaonkar Leena Peltonen
+	Analyzing Worldwide Social Distancing through Large-Scale Computer Vision	2020	Isha Ghodgaonkar Subhankar Chakraborty Vishnu Banna Shane Allcroft Mohammed Metwaly Fischer Bordwell Kohsuke Kimura Xinxin Zhao Abhinav Goel Caleb Tung
+	Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras	2020	Isha Ghodgaonkar Abhinav Goel Fischer Bordwell Caleb Tung Sara Aghajanzadeh Noah Curran Ryan Chen Kaiwen Yu Sneha Mahapatra Vishnu Banna
+	FLIC: A Distributed Fog Cache for City-Scale Applications	2020	Jack West Neil Kingensmith George K. Thiruvathukal
+	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung‐Hsiang Lu George K. Thiruvathukal
+	See the World Through Network Cameras	2019	Yung-Hsiang Lu George K. Thiruvathukal Ahmed S. Kaseb Kent Gauen Damini Rijhwani Ryan Dailey Deeptanshu Malik Yutong Huang Sara Aghajanzadeh Minghao Guo
+ PDF Chat	Tests as maintainable assets via auto-generated spies	2019	Konstantin Läufer John O’Sullivan George K. Thiruvathukal
+ PDF Chat	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions	2019	Caleb Tung Matthew R. Kelleher Ryan J. Schlueter Binhan Xu Yung-Hsiang Lu George K. Thiruvathukal Yen-Kuang Chen Yang Lu
+	Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response	2019	Chittayong Surakitbanharn Calvin Yau Guizhen Wang Aniesh Chawla Yinuo Pan Zhaoya Sun Sam Yellin David S. Ebert Yung-Hsiang Lu George K. Thiruvathukal
+	A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers	2019	George K. Thiruvathukal Cameron Christensen Xiaoyong Jin François Tessier Venkatram Vishwanath
+	See the World through Network Cameras	2019	Yung-Hsiang Lu George K. Thiruvathukal Ahmed S. Kaseb Kent Gauen Damini Rijhwani Ryan Dailey Deeptanshu Malik Yutong Huang Sarah Aghajanzadeh Minghao Guo
+	Low-Power Computer Vision: Status, Challenges, Opportunities	2019	Sergei Alyamkin Matthew Ardi Alexander C. Berg Achille Brighton Bo Chen Yiran Chen Hsin-Pai Cheng Zichen Fan Chen Feng Bo Fu
+ PDF Chat	Cloud Resource Optimization for Processing Multiple Streams of Visual Data	2018	Zohar Kapach Andrew Ulmer Daniel T. Merrick Arshad Alikhan Yung-Hsiang Lu Anup Mohan Ahmed S. Kaseb George K. Thiruvathukal
+	2018 Low-Power Image Recognition Challenge	2018	George K. Thiruvathukal
+ PDF Chat	Cross-referencing social media and public surveillance camera data for disaster response	2018	Chittayong Surakitbanharn Calvin Yau Guizhen Wang Aniesh Chawla Yinuo Pan Zhaoya Sun Sam Yellin David S. Ebert Yung-Hsiang Lu George K. Thiruvathukal
+	Auto-generated Spies Increase Test Maintainability	2018	Konstantin Läufer John O’Sullivan George K. Thiruvathukal
+ PDF Chat	Tests as Maintainable Assets Via Auto-generated Spies: A case study involving the Scala collections library's Iterator trait	2018	Konstantin Läufer John O’Sullivan George K. Thiruvathukal
+ PDF Chat	Analyzing Real-Time Multimedia Content from Network Cameras Using CPUs and GPUs in the Cloud	2018	Ahmed S. Kaseb Bo Fu Anup Mohan Yung-Hsiang Lu Amy R. Reibman George K. Thiruvathukal
+ PDF Chat	A comparison of machine learning techniques for taxonomic classification of teeth from the Family Bovidae	2018	Gregory J. Matthews Juliet K. Brophy Maxwell P. Luetkemeier Hongie Gu George K. Thiruvathukal
+	Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud	2018	Ahmed S. Kaseb Bo Fu Anup Mohan Yung-Hsiang Lu Amy R. Reibman George K. Thiruvathukal
+	Metrics Dashboard: A Hosted Platform for Software Quality Metrics	2018	George K. Thiruvathukal Shilpika Nicholas J Hayward Konstantin Läufer
+	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions	2018	Caleb Tung Matthew R. Kelleher Ryan J. Schlueter Binhan Xu Yung-Hsiang Lu George K. Thiruvathukal Yen-Kuang Chen Yang Lu
+	Analyzing Real-Time Multimedia Content From Network Cameras Using CPUs and GPUs in the Cloud	2018	Ahmed S. Kaseb Bo Fu Anup Mohan Yung‐Hsiang Lu Amy R. Reibman George K. Thiruvathukal
+	2018 Low-Power Image Recognition Challenge	2018	Sergei Alyamkin Matthew Ardi Achille Brighton Alexander C. Berg Yiran Chen Hsin-Pai Cheng Bo Chen Zichen Fan Chen Feng Bo Fu
+ PDF Chat	Examining the use of Amazon’s Mechanical Turk for edge extraction of the occlusal surface of fossilized bovid teeth	2017	Gregory J. Matthews George K. Thiruvathukal Maxwell P. Luetkemeier Juliet K. Brophy
+	Teaching Concurrent Software Design: A Case Study Using Android	2017	Konstantin Läufer George K. Thiruvathukal

Common Coauthors

Coauthor	Papers Together
Yung-Hsiang Lu	26
James C. Davis	25
Caleb Tung	20
Wenxin Jiang	20
Abhinav Goel	19
Nicholas Synovic	13
Yung‐Hsiang Lu	12
Jack West	11
Neil Klingensmith	11
Konstantin Läufer	10
Xiao Hu	10
Vishnu Banna	8
Nicholas Eliopoulos	7
Purvish Jajal	7
Akhil Chinnakotla	7
Taylor R. Schorlemmer	6
Fischer Bordwell	6
Ahmed S. Kaseb	6
Isha Ghodgaonkar	6
Sara Aghajanzadeh	5
Damini Rijhwani	5
Jason Jones	5
Kyuin Lee	5
Nicholas Synovic	4
Isaac Ahlgren	4
Deeptanshu Malik	4
Aniesh Chawla	4
Naveen Vivek	4
Vipin Chaudhary	4
Ryan Dailey	4
Rohan Sethi	4
Matt Hyatt	4
Kent Gauen	4
Gore Kao	4
Anup Mohan	4
Sripath Mishra	3
Gregory J. Matthews	3
Leena Peltonen	3
Jerin Yasmin	3
Amy R. Reibman	3
John O’Sullivan	3
Wei Zakharov	3
David S. Ebert	3
Ashley Kim	3
Arav Tewari	3
Tamer Abuhmed	3
Emmanuel S. Amobi	3
Yang Lu	3
Mohammed Abuhamad	3
Aditya Chakraborty	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	8
+ PDF Chat	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	6
+ PDF Chat	PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages	2023	Wenxin Jiang Nicholas Synovic Purvish Jajal Taylor R. Schorlemmer Arav Tewari Bhavesh Pareek George K. Thiruvathukal James C. Davis	5
+ PDF Chat	Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability	2022	Diego P. Montes Pongpatapee Peerapatanapokin Jeff Schultz Chengjun Guo Wenxin Jiang James C. Davis	5
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	5
+	Machine Learning Software Engineering in Practice: An Industrial Case Study	2019	Md Saidur Rahman Emilio Rivera Foutse Khomh Yann‐Gaël Guéhéneuc Bernd Lehnert	5
+	Searching for MobileNetV3.	2019	Andrew Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen Mingxing Tan Weijun Wang Yukun Zhu Ruoming Pang Vijay Vasudevan	4
+ PDF Chat	An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry	2023	Wenxin Jiang Nicholas Synovic Matt Hyatt Taylor R. Schorlemmer Rohan Sethi Yung‐Hsiang Lu George K. Thiruvathukal James C. Davis	4
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ PDF Chat	Low-power object counting with hierarchical neural networks	2020	Abhinav Goel Caleb Tung Sara Aghajanzadeh Isha Ghodgaonkar Shreya Ghosh George K. Thiruvathukal Yung-Hsiang Lu	4
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	4
+ PDF Chat	Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning	2019	Deboleena Roy Priyadarshini Panda Kaushik Roy	4
+ PDF Chat	Regexes are Hard: Decision-Making, Difficulties, and Risks in Programming Regular Expressions	2019	Louis G. Michael James Donohue James C. Davis Dongyoon Lee Francisco Servant	3
+	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	3
+ PDF Chat	Correlation Congruence for Knowledge Distillation	2019	Baoyun Peng Jin Xiao Dongsheng Li Shunfeng Zhou Yichao Wu Jiaheng Liu Zhaoning Zhang Yu Liu	3
+	Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras	2020	Isha Ghodgaonkar Abhinav Goel Fischer Bordwell Caleb Tung Sara Aghajanzadeh Noah Curran Ryan Chen Kaiwen Yu Sneha Mahapatra Vishnu Banna	3
+ PDF Chat	Cross-referencing social media and public surveillance camera data for disaster response	2018	Chittayong Surakitbanharn Calvin Yau Guizhen Wang Aniesh Chawla Yinuo Pan Zhaoya Sun Sam Yellin David S. Ebert Yung-Hsiang Lu George K. Thiruvathukal	3
+	See the World Through Network Cameras	2019	Yung-Hsiang Lu George K. Thiruvathukal Ahmed S. Kaseb Kent Gauen Damini Rijhwani Ryan Dailey Deeptanshu Malik Yutong Huang Sara Aghajanzadeh Minghao Guo	3
+	Challenges and practices of deep learning model reengineering: A case study on computer vision	2024	Wenxin Jiang Vishnu Banna Naveen Vivek Abhinav Goel Nicholas Synovic George K. Thiruvathukal James C. Davis	3
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	3
+	Carbon Emissions and Large Neural Network Training	2021	David A. Patterson Joseph E. Gonzalez Quoc V. Le Liang Chen Lluís-Miquel Munguía Daniel Rothchild David R. So Maud Texier Jeff Dean	3
+	Pre-trained models: Past, present and future	2021	Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu Yuqi Huo Jiezhong Qiu Yuan Yao Ao Zhang Liang Zhang	3
+	Bin Packing and Related Problems: General Arc-flow Formulation with Graph Compression	2013	Brandão Filipe Pedroso	3
+	A Survey of Methods for Low-Power Deep Learning and Computer Vision	2020	Abhinav Goel Caleb Tung Yung-Hsiang Lu George K. Thiruvathukal	3
+ PDF Chat	On testing machine learning programs	2020	Houssem Ben Braiek Foutse Khomh	3
+ PDF Chat	A Comprehensive Survey on Transfer Learning	2020	Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He	3
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	3
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	3
+	Compressing Neural Networks with the Hashing Trick	2015	Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen	2
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Shape Manifolds, Procrustean Metrics, and Complex Projective Spaces	1984	David G. Kendall	2
+ PDF Chat	Flooding through the lens of mobile phone activity	2014	David Pastor-Escuredo Alfredo J. Morales Yolanda Torres Jean-Martin Bauer Amit Wadhwa Carlos Castro-Correa Liudmyla Romanoff Jong Gun Lee Alex Rutherford Vanessa Frías-Martínez	2
+	Joint Discriminative and Generative Learning for Person Re-identification	2019	Zhedong Zheng Xiaodong Yang Zhiding Yu Liang Zheng Yi Yang Jan Kautz	2
+ PDF Chat	Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions	2019	Caleb Tung Matthew R. Kelleher Ryan J. Schlueter Binhan Xu Yung-Hsiang Lu George K. Thiruvathukal Yen-Kuang Chen Yang Lu	2
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	2
+	FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference	2019	Ruizhou Ding Zeye Liu Ting-Wu Chin Diana Marculescu Blanton	2
+ PDF Chat	Attention Based Pruning for Shift Networks	2019	Ghouthi Boukli Hacene Carlos Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio	2
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	2
+	Method for analyzing complex two‐dimensional forms: Elliptical Fourier functions	1989	Pete E. Lestrel	2
+ PDF Chat	Resource Aware Person Re-identification Across Multiple Resolutions	2018	Yan Wang Lequn Wang Yurong You Xu Zou Vincent Chen Serena Li Gao Huang Bharath Hariharan Kilian Q. Weinberger	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+	CrowdHuman: A Benchmark for Detecting Human in a Crowd	2018	Shuai Shao Zijian Zhao Boxun Li Tete Xiao Gang Yu Xiangyu Zhang Jian Sun	2
+	Vehicle Re-identification in Aerial Imagery: Dataset and Approach	2019	Peng Wang Bingliang Jiao Yang Lu Yifei Yang Shizhou Zhang Wei Wei Yanning Zhang	2
+ PDF Chat	Object Detection With Deep Learning: A Review	2019	Zhong‐Qiu Zhao Peng Zheng Shou-Tao Xu Xindong Wu	2