Shun Lu
11 papers · 2021–2023 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Grand Slam π Keyword Champion (2)
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(10)
Architectures
(8)
Optimization & Theory
(7)
Learning Types
(5)
Techniques
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Computer Science
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Core Methods
(1)
Foundations
(1)
Learning Paradigms
(1)
Keywords
neural architecture search
(10)
ranking consistency
(2)
performance prediction
(2)
multi-task learning
(2)
search space
(2)
audio source separation
(2)
computer vision
(1)
importance sampling
(1)
image classification
(1)
neural network optimization
(1)
window attention
(1)
gradient descent
(1)
vision transformer
(1)
upper confidence bound
(1)
gradient variance
(1)
model architecture
(1)
model ranking
(1)
skip connection
(1)
positional encoding
(1)
attention mechanism
(1)
Papers
MixPath: A Unified Approach for One-shot Neural Architecture Search
ICCV 2023
PA&DA: Jointly Sampling Path and Data for Consistent NAS
CVPR 2023
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
AAAI 2023
Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS
ICCV 2023
AGNAS: Attention-Guided Micro and Macro-Architecture Search
ICML 2022
Conformer Space Neural Architecture Search for Multi-Task Audio Separation
Interspeech 2022
Searching for BurgerFormer with Micro-Meso-Macro Space Design
ICML 2022
WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation
Interspeech 2022
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
ICLR 2021
DDSAS: Dynamic and Differentiable Space-Architecture Search
ACML 2021
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
NeurIPS 2021