Linnan Wang
8 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
🏆
Grand Slam
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(8)
Artificial Intelligence
(5)
Deep Learning
(4)
Learning Paradigms
(3)
Optimization & Theory · Deep Learning
(3)
Core AI · Artificial Intelligence
(2)
Techniques
(2)
Computer Vision
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Keywords
neural architecture search
(6)
monte carlo tree search
(3)
model compression
(2)
black-box optimization
(2)
multi-objective optimization
(2)
network accuracy
(1)
transfer learning
(1)
hyperparameter optimization
(1)
sample efficiency
(1)
efficient computing
(1)
tensor decomposition
(1)
model-based reinforcement learning
(1)
reward function
(1)
space partitioning
(1)
weight sharing
(1)
bayesian optimization
(1)
sequence modeling
(1)
search space partition
(1)
convolutional neural network
(1)
long short-term memory
(1)
Papers
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
JMLR 2024
Multi-objective Optimization by Learning Space Partition
ICLR 2022
Searching the Deployable Convolution Neural Networks for GPUs
CVPR 2022
Few-Shot Neural Architecture Search
ICML 2021
Learning Space Partitions for Path Planning
NeurIPS 2021
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
NeurIPS 2020
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search
AAAI 2020
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition
CVPR 2018