Steven Su
5 papers · 2019–2022 · 3 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Foundations
(1)
Learning Paradigms
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
neural architecture search
(4)
differentiable architecture search
(2)
bayesian optimization
(2)
novelty search
(2)
supernet training
(2)
one-shot learning
(2)
weight sharing
(2)
sliced inverse regression
(1)
supervised dimension reduction
(1)
high-dimensional optimization
(1)
bilevel optimization
(1)
regret bound
(1)
gaussian distribution
(1)
variational graph autoencoder
(1)
kernel trick
(1)
bayesian learning rule
(1)
diversity maximization
(1)
multi-model forgetting
(1)
natural gradient variational inference
(1)
architecture distribution
(1)
Papers
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
CVPR 2022
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement
NeurIPS 2020
One-Shot Neural Architecture Search via Novelty Driven Sampling
IJCAI 2020
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization
CVPR 2020
High Dimensional Bayesian Optimization via Supervised Dimension Reduction
IJCAI 2019