Hitesh Sapkota

According to our database, Hitesh Sapkota authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering.

Mahsa Mozaffari, Hitesh Sapkota, Qi Yu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection.

Dingrong Wang, Hitesh Sapkota, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.

Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meta Evidential Transformer for Few-Shot Open-Set Recognition.

Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training.

Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data.

Hitesh Sapkota, Qi Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Balancing Bias and Variance for Active Weakly Supervised Learning.

Hitesh Sapkota, Qi Yu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection.

Hitesh Sapkota, Qi Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.

Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu

Proceedings of the IEEE International Conference on Data Mining, 2021

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning.

Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts.

Moayad Alshangiti, Hitesh Sapkota, Pradeep K. Murukannaiah, Xumin Liu, Qi Yu

Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019