Hanchen Xie

According to our database1, Hanchen Xie authored at least 12 papers between 2021 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Look, Learn and Leverage (L<sup>3</sup>): Mitigating Visual-Domain Shift and Discovering Intrinsic Relations via Symbolic Alignment.
CoRR, 2024

An Investigation on The Position Encoding in Vision-Based Dynamics Prediction.
CoRR, 2024

DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations.
CoRR, 2024

2023
SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering.
CoRR, 2023

Information-Theoretic Bounds on The Removal of Attribute-Specific Bias From Neural Networks.
CoRR, 2023

Shadow Datasets, New challenging datasets for Causal Representation Learning.
CoRR, 2023

A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment.
Proceedings of the International Conference on Machine Learning, 2023

2022
Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength.
CoRR, 2022

SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Weakly Supervised Invariant Representation Learning via Disentangling Known and Unknown Nuisance Factors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
MUSCLE: Strengthening Semi-Supervised Learning Via Concurrent Unsupervised Learning Using Mutual Information Maximization.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Partner-Assisted Learning for Few-Shot Image Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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