Hitesh Sapkota
8 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27)
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Grand Slam
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Trend Setter
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Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Computer Vision
(3)
Analysis
(3)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
video anomaly detection
(3)
uncertainty quantification
(2)
multiple instance learning
(2)
weakly supervised learning
(2)
distributionally robust optimization
(2)
model calibration
(2)
bayesian inference
(1)
ensemble learning
(1)
reinforcement learning
(1)
visual question answering
(1)
object detection
(1)
video understanding
(1)
hierarchical clustering
(1)
anomaly detection
(1)
gaussian process
(1)
class imbalance
(1)
deep kernel learning
(1)
bayesian nonparametrics
(1)
lottery ticket hypothesis
(1)
submodular optimization
(1)
Papers
The Road Less Seen: Segment Exploration for Weakly Supervised Video Anomaly Detection
CVPR 2026
GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
AAAI 2025
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
NeurIPS 2024
Meta Evidential Transformer for Few-Shot Open-Set Recognition
ICML 2024
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data
ICLR 2023
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training
NeurIPS 2023
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
CVPR 2022
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
AISTATS 2021