Shangling Jui
17 papers · 2020–2024 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Grand Slam
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(95)
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(8)
Deep Learning
(8)
Optimization & Theory Β· Machine Learning
(8)
Application Areas
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(3)
Computer Vision
(2)
Architectures
(2)
Learning Paradigms
(2)
Computer Science
(1)
Keywords
neural architecture search
(5)
source-free domain adaptation
(3)
transfer learning
(2)
knowledge distillation
(2)
performance prediction
(2)
graph representation
(2)
neural network optimization
(2)
convolutional neural network
(2)
reinforcement learning
(2)
catastrophic forgetting
(1)
image generation
(1)
few-shot learning
(1)
probabilistic modeling
(1)
continual learning
(1)
deep reinforcement learning
(1)
feature learning
(1)
convergence analysis
(1)
adversarial learning
(1)
semantic segmentation
(1)
unsupervised clustering
(1)
Papers
A Theory of Non-acyclic Generative Flow Networks
AAAI 2024
Rethinking Optimization and Architecture for Tiny Language Models
ICML 2024
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
NeurIPS 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
Reparameterization through Spatial Gradient Scaling
ICLR 2023
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
NeurIPS 2022
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data
ICLR 2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
ICLR 2022
Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability
AAAI 2022
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
NeurIPS 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NeurIPS 2021
Generalized Source-Free Domain Adaptation
ICCV 2021
Generative Adversarial Neural Architecture Search
IJCAI 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search
CVPR 2021
Neural Architecture Search for Keyword Spotting
Interspeech 2020
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020