Shun Lu
11 papers · 2021–2023 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π Conference Polyglot (8) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
π
Grand Slam
π
Century Club
(11)
Conferences
ICCV (2)
ICML (2)
INTERSPEECH (2)
AAAI (1)
ACML (1)
CVPR (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
neural architecture search
(9)
search space
(2)
multi-task learning
(2)
performance prediction
(2)
ranking consistency
(2)
audio source separation
(2)
model architecture
(1)
neural network optimization
(1)
importance sampling
(1)
positional encoding
(1)
model ranking
(1)
gradient variance
(1)
window attention
(1)
generalization performance
(1)
model efficiency
(1)
permutation invariance
(1)
resource constraint
(1)
differentiable search
(1)
architecture predictor
(1)
feature normalization
(1)
Papers
MixPath: A Unified Approach for One-shot Neural Architecture Search
ICCV 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
PA&DA: Jointly Sampling Path and Data for Consistent NAS
CVPR 2023
WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation
INTERSPEECH 2022
AGNAS: Attention-Guided Micro and Macro-Architecture Search
ICML 2022
Searching for BurgerFormer with Micro-Meso-Macro Space Design
ICML 2022
Conformer Space Neural Architecture Search for Multi-Task Audio Separation
INTERSPEECH 2022
DDSAS: Dynamic and Differentiable Space-Architecture Search
ACML 2021
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
ICLR 2021
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
NIPS 2021