Byunggook Na
7 papers · 2020–2023 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (16) π Conference Polyglot (6) π Interdisciplinary Bridge π Cross-Pollinator (14) π§ Keyword Pioneer
π£
Hot Topic Early Bird
β
The Questioner
Conferences
CVPR (2)
AAAI (1)
ICCV (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
neural architecture search
(4)
energy efficiency
(2)
neuromorphic computing
(2)
spiking neural network
(2)
transfer learning
(1)
object detection
(1)
adversarial training
(1)
efficient computing
(1)
rank correlation
(1)
data selection
(1)
molecular dynamics
(1)
density functional theory
(1)
fitness function
(1)
network initialization
(1)
machine learning force field
(1)
architecture optimization
(1)
brain-inspired computing
(1)
graph neural network
(1)
architecture evaluation
(1)
label-gradient alignment
(1)
Papers
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis
NIPS 2023
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations
CVPR 2022
Demystifying the Neural Tangent Kernel From a Practical Perspective: Can It Be Trusted for Neural Architecture Search Without Training?
CVPR 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
ICML 2022
AdvRush: Searching for Adversarially Robust Neural Architectures
ICCV 2021
Accelerating Neural Architecture Search via Proxy Data
IJCAI 2021
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection
AAAI 2020