Chuanlong Xie

According to our database1, Chuanlong Xie authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion.
CoRR, 2024

2023
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks.
CoRR, 2023

Fair-CDA: Continuous and Directional Augmentation for Group Fairness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models.
CoRR, 2022

Boosting Out-of-distribution Detection with Typical Features.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL.
Proceedings of the International Conference on Machine Learning, 2022

2021
Fast inference for semi-varying coefficient models via local averaging.
Comput. Stat. Data Anal., 2021

Out-of-Distribution Generalization Analysis via Influence Function.
CoRR, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator.
Proceedings of the 38th International Conference on Machine Learning, 2021

NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Generalized kernel-based inverse regression methods for sufficient dimension reduction.
Comput. Stat. Data Anal., 2020

Provable More Data Hurt in High Dimensional Least Squares Estimator.
CoRR, 2020

Risk Variance Penalization: From Distributional Robustness to Causality.
CoRR, 2020

2019
A goodness-of-fit test for variable-adjusted models.
Comput. Stat. Data Anal., 2019


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