Rahul Duggal

According to our database, Rahul Duggal authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RobArch: Designing Robust Architectures against Adversarial Attacks.

Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin

CoRR, 2023

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs.

Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract).

Kevin Li, Rahul Duggal, Duen Horng Chau

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artificial Intelligence on Edge Devices.

Rahul Duggal

PhD thesis, 2022

NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks.

Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau

IEEE Trans. Vis. Comput. Graph., 2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets.

Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau

CoRR, 2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training.

Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau

CoRR, 2022

Towards Regression-Free Neural Networks for Diverse Compute Platforms.

Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia

Proceedings of the Computer Vision - ECCV 2022, 2022

MalNet: A Large-Scale Image Database of Malicious Software.

Scott Freitas, Rahul Duggal, Duen Horng Chau

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software.

Scott Freitas, Rahul Duggal, Duen Horng Chau

CoRR, 2021

Compatibility-Aware Heterogeneous Visual Search.

Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CUP: Cluster Pruning for Compressing Deep Neural Networks.

Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

HAR: Hardness Aware Reweighting for Imbalanced Datasets.

Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images.

Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy

Medical Image Anal., 2020

ELF: An Early-Exiting Framework for Long-Tailed Classification.

Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun

CoRR, 2020

REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild.

Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

CUP: Cluster Pruning for Compressing Deep Neural Networks.

Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun

CoRR, 2019

2017 Robotic Instrument Segmentation Challenge.

Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

CoRR, 2019

2017

SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging.

Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks.

Anubha Gupta, Rahul Duggal

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network.

Naushad Ansari, Anubha Gupta, Rahul Duggal

CoRR, 2016

Overlapping cell nuclei segmentation in microscopic images using deep belief networks.

Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja

Proceedings of the Tenth Indian Conference on Computer Vision, 2016