Hitesh Sapkota

15 papers A* 9A 2Journal 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering.
AAAI
Mahsa Mozaffari, Hitesh Sapkota, Qi Yu
2024 A* conf
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection.
NeurIPS
Dingrong Wang, Hitesh Sapkota, Qi Yu
2024 A* conf
Meta Evidential Transformer for Few-Shot Open-Set Recognition.
ICML
Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu
2024 A* conf
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.
KDD
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2024 J jnl
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.
CoRR
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2023 A* conf
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data.
ICLR
Hitesh Sapkota, Qi Yu
2023 A* conf
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training.
NeurIPS
Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu
2022 A* conf
Balancing Bias and Variance for Active Weakly Supervised Learning.
KDD
Hitesh Sapkota, Qi Yu
2022 J jnl
Balancing Bias and Variance for Active Weakly Supervised Learning.
CoRR
Hitesh Sapkota, Qi Yu
2022 A* conf
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection.
CVPR
Hitesh Sapkota, Qi Yu
2022 J jnl
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection.
CoRR
Hitesh Sapkota, Qi Yu
2021 A* conf
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
ICDM
Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
2021 J jnl
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
CoRR
Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
2021 A conf
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning.
AISTATS
Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu
2019 A conf
Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts.
ESEM
Moayad Alshangiti, Hitesh Sapkota, Pradeep K. Murukannaiah, Xumin Liu, Qi Yu