Shikhar Srivastava

According to our database, Shikhar Srivastava authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Improving Multimodal Large Language Models Using Continual Learning.

Shikhar Srivastava, Md Yousuf Harun, Robik Shrestha, Christopher Kanan

CoRR, 2024

Revisiting Multi-Modal LLM Evaluation.

Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

CoRR, 2024

2023

Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer.

Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings.

Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2019

Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.

Rudresh Deepak Shirwaikar, Dinesh Acharya U., Krishna Moorthi Makkithaya, Surulivelrajan M, Shikhar Srivastava, Leslie Edward S. Lewis U

Artif. Intell. Medicine, 2019