Bo Li

Affiliations:
  • University of California, Berkeley, CA, USA


According to our database1, Bo Li authored at least 13 papers between 2019 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR, 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Invariant Information Bottleneck for Domain Generalization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.
Int. J. Comput. Vis., 2021

Invariant Information Bottleneck for Domain Generalization.
CoRR, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Rethinking Distributional Matching Based Domain Adaptation.
CoRR, 2020

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.
CoRR, 2020

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey.
CoRR, 2020

2019
Multi-source Domain Adaptation for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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