Hitesh Sapkota

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Weakly Supervised Learning

Sketch Based Image Retrieval

Bayesian Nonparametric

Avoid Overfitting

Top Venues

Publications

Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. CoRR (2024)
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. KDD (2024)
Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. NeurIPS (2023)
Hitesh Sapkota, Qi Yu
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data. ICLR (2023)
Hitesh Sapkota, Qi Yu
Balancing Bias and Variance for Active Weakly Supervised Learning. KDD (2022)
Hitesh Sapkota, Qi Yu
Balancing Bias and Variance for Active Weakly Supervised Learning. CoRR (2022)
Hitesh Sapkota, Qi Yu
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. CoRR (2022)
Hitesh Sapkota, Qi Yu
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. CVPR (2022)
Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS (2021)
Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. CoRR (2021)
Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. ICDM (2021)
Moayad Alshangiti, Hitesh Sapkota, Pradeep K. Murukannaiah, Xumin Liu, Qi Yu
Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts. ESEM (2019)