Rahul Duggal

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 27

Top Topics

Imbalanced Datasets

Top Venues

Medical Image Anal.

Publications

Kevin Li, Rahul Duggal, Duen Horng Chau
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI (2023)
Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC (2023)
Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR (2023)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM (2023)
Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR (2023)
Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
Towards Regression-Free Neural Networks for Diverse Compute Platforms. CoRR (2022)
Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
Towards Regression-Free Neural Networks for Diverse Compute Platforms. ECCV (37) (2022)
Scott Freitas, Rahul Duggal, Duen Horng Chau
MalNet: A Large-Scale Image Database of Malicious Software. CIKM (2022)
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau
IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR (2022)
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR (2022)
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR (2021)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData (2021)
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
Compatibility-Aware Heterogeneous Visual Search. CVPR (2021)
Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
Compatibility-aware Heterogeneous Visual Search. CoRR (2021)
Scott Freitas, Rahul Duggal, Duen Horng Chau
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR (2021)
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData (2021)
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR (2020)
Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW (2020)
Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy
GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Anal. 65 (2020)
Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR (2020)
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
2017 Robotic Instrument Segmentation Challenge. CoRR (2019)
Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR (2019)
Anubha Gupta, Rahul Duggal
P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. ICCV Workshops (2017)
Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. MICCAI (3) (2017)
Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja
Overlapping cell nuclei segmentation in microscopic images using deep belief networks. ICVGIP (2016)
Naushad Ansari, Anubha Gupta, Rahul Duggal
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network. CoRR (2016)