Deep Shankar Pandey

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Microscope Images

Semantic Segmentation

Multiple Instance

Training Samples

Top Venues

Mach. Learn. Sci. Technol.

Publications

Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, S. X. Hu, Qi Yu
Deep energy-pressure regression for a thermodynamically consistent EOS model. Mach. Learn. Sci. Technol. 5 (1) (2024)
Bishwas Pokharel, Deep Shankar Pandey, Anjuli Sapkota, Bhimraj Yadav, Vasanta Gurung, Mandira Pradhananga Adhikari, Loknath Regmi, Nanda B. Adhikari
A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon. IEEE Access 12 (2024)
Deep Shankar Pandey, Qi Yu
Evidential Conditional Neural Processes. AAAI (2023)
Deep Shankar Pandey, Qi Yu
Learn to Accumulate Evidence from All Training Samples: Theory and Practice. ICML (2023)
Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. ICML (2023)
Deep Shankar Pandey, Qi Yu
Multidimensional Belief Quantification for Label-Efficient Meta-Learning. CVPR (2022)
Deep Shankar Pandey, Qi Yu
Evidential Conditional Neural Processes. CoRR (2022)
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. IEEE BigData (2021)
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. CoRR (2021)