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2020 – today
- 2024
[i14]Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer:
Open-World Dynamic Prompt and Continual Visual Representation Learning. CoRR abs/2409.05312 (2024)- 2023
- [c12]Kevin Li, Rahul Duggal, Duen Horng Chau:
Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI 2023: 16252-16253 - [c11]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: 739-740 - [c10]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: 2044-2054 - [i13]Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin:
RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR abs/2301.03110 (2023) - [i12]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 abs/2308.16258 (2023) - 2022
- [b1]Rahul Duggal:
Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artificial Intelligence on Edge Devices. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j2]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): 813-823 (2022) - [c9]Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Image Database of Malicious Software. CIKM 2022: 3948-3952 - [c8]Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia:
Towards Regression-Free Neural Networks for Diverse Compute Platforms. ECCV (37) 2022: 598-614 - [i11]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 abs/2203.16475 (2022) - [i10]Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia:
Towards Regression-Free Neural Networks for Diverse Compute Platforms. CoRR abs/2209.13740 (2022) - [i9]Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau:
IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR abs/2210.00136 (2022) - 2021
- [c7]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData 2021: 735-745 - [c6]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData 2021: 5102-5106 - [c5]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-Aware Heterogeneous Visual Search. CVPR 2021: 10723-10732 - [i8]Scott Freitas, Rahul Duggal, Duen Horng Chau:
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR abs/2102.01072 (2021) - [i7]Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto:
Compatibility-aware Heterogeneous Visual Search. CoRR abs/2105.06047 (2021) - [i6]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 abs/2108.12931 (2021) - 2020
- [j1]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: 101788 (2020) - [c4]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: 1704-1714 - [i5]Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun:
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR abs/2001.11363 (2020) - [i4]Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun:
ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR abs/2006.11979 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1902.06426 (2019) - [i2]Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun:
CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR abs/1911.08630 (2019) - 2017
- [c3]Anubha Gupta, Rahul Duggal:
P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. ICCV Workshops 2017: 974-978 - [c2]Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick:
SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. MICCAI (3) 2017: 435-443 - 2016
- [c1]Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja:
Overlapping cell nuclei segmentation in microscopic images using deep belief networks. ICVGIP 2016: 82:1-82:8 - [i1]Naushad Ansari, Anubha Gupta, Rahul Duggal:
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network. CoRR abs/1612.04966 (2016)
Coauthor Index
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last updated on 2024-10-10 22:14 CEST by the dblp team
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