Rahul Duggal - RankMe

31 papers A* 3A 3Journal 16Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Open-World Dynamic Prompt and Continual Visual Representation Learning. ECCV (49) Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2024	J	`jnl`	Open-World Dynamic Prompt and Continual Visual Representation Learning. CoRR Youngeun Kim, Jun Fang, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer
2024	—	`conf`	Robustness Preserving Fine-Tuning Using Neuron Importance. ECCV (68) Guangrui Li, Rahul Duggal, Aaditya Singh, Kaustav Kundu, Bing Shuai, Jonathan Wu
2023	A	`conf`	Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023	A*	`conf`	Evaluating Robustness of Vision Transformers on Imbalanced Datasets (Student Abstract). AAAI Kevin Li, Rahul Duggal, Duen Horng Chau
2023	J	`jnl`	RobArch: Designing Robust Architectures against Adversarial Attacks. CoRR Sheng-Yun Peng, Weilin Xu, Cory Cornelius, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
2023	A	`conf`	Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. BMVC Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
2023	J	`jnl`	Robust Principles: Architectural Design Principles for Adversarially Robust CNNs. CoRR Shengyun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Mansi Phute, Jason Martin, Duen Horng Chau
2022	J	`jnl`	ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022	J	`jnl`	IMB-NAS: Neural Architecture Search for Imbalanced Datasets. CoRR Rahul Duggal, Shengyun Peng, Hao Zhou, Duen Horng Chau
2022	A	`conf`	MalNet: A Large-Scale Image Database of Malicious Software. CIKM Scott Freitas, Rahul Duggal, Duen Horng Chau
2022	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng (Polo) Chau
2022	—	`—`	Robust Efficient Edge AI: New Principles and Frameworks for Empowering Artificial Intelligence on Edge Devices. Rahul Duggal
2022	—	`conf`	Towards Regression-Free Neural Networks for Diverse Compute Platforms. ECCV (37) Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
2022	J	`jnl`	Towards Regression-Free Neural Networks for Diverse Compute Platforms. CoRR Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
2021	—	`conf`	CUP: Cluster Pruning for Compressing Deep Neural Networks. IEEE BigData Rahul Duggal, Cao Xiao, Richard W. Vuduc, Duen Horng Chau, Jimeng Sun
2021	A*	`conf`	Compatibility-Aware Heterogeneous Visual Search. CVPR Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Compatibility-aware Heterogeneous Visual Search. CoRR Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
2021	—	`conf`	HAR: Hardness Aware Reweighting for Imbalanced Datasets. IEEE BigData Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2021	J	`jnl`	MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software. CoRR Scott Freitas, Rahul Duggal, Duen Horng Chau
2021	J	`jnl`	NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks. CoRR Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
2020	J	`jnl`	ELF: An Early-Exiting Framework for Long-Tailed Classification. CoRR Rahul Duggal, Scott Freitas, Sunny Dhamnani, Duen Horng Chau, Jimeng Sun
2020	J	`jnl`	GCTI-SN: Geometry-inspired chemical and tissue invariant stain normalization of microscopic medical images. Medical Image Anal. Anubha Gupta, Rahul Duggal, Shiv Gehlot, Ritu Gupta, Anvit Mangal, Lalit Kumar, Nisarg Thakkar, Devprakash Satpathy
2020	A*	`conf`	REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. WWW Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2020	J	`jnl`	REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild. CoRR Rahul Duggal, Scott Freitas, Cao Xiao, Duen Horng Chau, Jimeng Sun
2019	J	`jnl`	2017 Robotic Instrument Segmentation Challenge. CoRR 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
2019	J	`jnl`	CUP: Cluster Pruning for Compressing Deep Neural Networks. CoRR Rahul Duggal, Cao Xiao, Richard W. Vuduc, Jimeng Sun
2017	—	`conf`	P-TELU: Parametric Tan Hyperbolic Linear Unit Activation for Deep Neural Networks. ICCV Workshops Anubha Gupta, Rahul Duggal
2017	—	`conf`	SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging. MICCAI (3) Rahul Duggal, Anubha Gupta, Ritu Gupta, Pramit Mallick
2016	J	`jnl`	Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network. CoRR Naushad Ansari, Anubha Gupta, Rahul Duggal
2016	—	`conf`	Overlapping cell nuclei segmentation in microscopic images using deep belief networks. ICVGIP Rahul Duggal, Anubha Gupta, Ritu Gupta, Manya Wadhwa, Chirag Ahuja