Apoorva Sharma
8 papers · 2019–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(4)
Learning Types
(4)
Optimization & Theory
(3)
Computer Vision
(2)
Deep Learning
(2)
Reinforcement Learning
(2)
Applications
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Analysis
(1)
Application Areas
(1)
Architectures
(1)
Keywords
trajectory prediction
(2)
continual learning
(1)
epistemic uncertainty
(1)
conformal prediction
(1)
robot perception
(1)
uncertainty quantification
(1)
online learning
(1)
sequential decision making
(1)
autonomous driving
(1)
deep reinforcement learning
(1)
scene reconstruction
(1)
neural rendering
(1)
pac-bayes theory
(1)
variance reduction
(1)
fisher information matrix
(1)
matrix sketching
(1)
dynamic scene
(1)
generalization bound
(1)
out-of-distribution detection
(1)
model compression
(1)
Papers
Counterfactual VLA: Self-Reflective Vision-Language-Action Model with Adaptive Reasoning
CVPR 2026
Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation
CoRL 2025
STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes
ICLR 2025
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
CoRL 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
NeurIPS 2023
Sketching curvature for efficient out-of-distribution detection for deep neural networks
UAI 2021
Continuous Meta-Learning without Tasks
NeurIPS 2020
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
RSS 2019