Shangling Jui
17 papers · 2020–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Conference Polyglot (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(42)
π
Grand Slam
π₯
Unstoppable
(5)
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(17)
ποΈ
Keyword Collector
(77)
Conferences
AAAI (4)
NIPS (4)
ICLR (3)
CVPR (2)
ICCV (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
neural architecture search
(5)
source-free domain adaptation
(3)
performance prediction
(2)
transfer learning
(2)
graph representation
(2)
catastrophic forgetting
(1)
continual learning
(1)
deep reinforcement learning
(1)
feature learning
(1)
adversarial learning
(1)
few-shot learning
(1)
probabilistic modeling
(1)
reinforcement learning
(1)
computer vision
(1)
semantic segmentation
(1)
knowledge distillation
(1)
unsupervised clustering
(1)
convergence analysis
(1)
graph generation
(1)
stochastic gradient descent
(1)
Papers
Rethinking Optimization and Architecture for Tiny Language Models
ICML 2024
A Theory of Non-acyclic Generative Flow Networks
AAAI 2024
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
Reparameterization through Spatial Gradient Scaling
ICLR 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution
NIPS 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
NIPS 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
NIPS 2021
Generative Adversarial Neural Architecture Search
IJCAI 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
NIPS 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search
CVPR 2021
Generalized Source-Free Domain Adaptation
ICCV 2021
Neural Architecture Search for Keyword Spotting
INTERSPEECH 2020
Semantic Drift Compensation for Class-Incremental Learning
CVPR 2020