Deep Shankar Pandey

13 papers A* 5Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation.
CoRR
Deep Shankar Pandey, Hyomin Choi, Qi Yu
2024 J jnl
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
Bishwas Pokharel, Deep Shankar Pandey, Anjuli Sapkota, Bhimraj Yadav, Vasanta Gurung, Mandira Pradhananga Adhikari, Loknath Regmi, Nanda Bikram Adhikari
2024 A* conf
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models.
NeurIPS
Deep Shankar Pandey, Spandan Pyakurel, Qi Yu
2024 J jnl
Deep energy-pressure regression for a thermodynamically consistent EOS model.
Mach. Learn. Sci. Technol.
Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, Suxing Hu, Qi Yu
2023 A* conf
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery.
ICML
Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu
2023 A* conf
Evidential Conditional Neural Processes.
AAAI
Deep Shankar Pandey, Qi Yu
2023 A* conf
Learn to Accumulate Evidence from All Training Samples: Theory and Practice.
ICML
Deep Shankar Pandey, Qi Yu
2023 J jnl
Learn to Accumulate Evidence from All Training Samples: Theory and Practice.
CoRR
Deep Shankar Pandey, Qi Yu
2022 J jnl
Evidential Conditional Neural Processes.
CoRR
Deep Shankar Pandey, Qi Yu
2022 A* conf
Multidimensional Belief Quantification for Label-Efficient Meta-Learning.
CVPR
Deep Shankar Pandey, Qi Yu
2022 J jnl
Multidimensional Belief Quantification for Label-Efficient Meta-Learning.
CoRR
Deep Shankar Pandey, Qi Yu
2021 — conf
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.
IEEE BigData
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
2021 J jnl
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.
CoRR
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu