Shangling Jui

papers

1,313

total citations

papers (10)

Semantic Drift Compensation for Class-Incremental Learning

CVPR 2020arXiv

387

citations

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

NEURIPS 2021arXiv

311

citations

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

NEURIPS 2021arXiv

citations

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

ICLR 2022arXiv

citations

A Theory of Non-acyclic Generative Flow Networks

AAAI 2024arXiv

citations

Reparameterization through Spatial Gradient Scaling

ICLR 2023arXiv

citations

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution

NEURIPS 2023

citations

Shangling Jui

papers (10)

Semantic Drift Compensation for Class-Incremental Learning

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

Generalized Source-Free Domain Adaptation

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

ReNAS: Relativistic Evaluation of Neural Architecture Search

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

A Theory of Non-acyclic Generative Flow Networks

Reparameterization through Spatial Gradient Scaling

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution

papers (10)

Semantic Drift Compensation for Class-Incremental Learning

Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation

Generalized Source-Free Domain Adaptation

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation

ReNAS: Relativistic Evaluation of Neural Architecture Search

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning

A Theory of Non-acyclic Generative Flow Networks

Reparameterization through Spatial Gradient Scaling

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution