Joy Hsu

According to our database1, Joy Hsu authored at least 15 papers between 2019 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage.
Trans. Mach. Learn. Res., 2023

What's Left? Concept Grounding with Logic-Enhanced Foundation Models.
CoRR, 2023

What's Left? Concept Grounding with Logic-Enhanced Foundation Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Motion Question Answering via Modular Motion Programs.
Proceedings of the International Conference on Machine Learning, 2023

Programmatically Grounded, Compositionally Generalizable Robotic Manipulation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Composable Part-Based Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
Geoclidean: Few-Shot Generalization in Euclidean Geometry.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Monte Carlo Tree Search for Interpreting Stress in Natural Language.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

2021
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments.
Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Hyperbolic Representations for Unsupervised 3D Segmentation.
CoRR, 2020

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation.
CoRR, 2020

2019
Detecting somatic mutations with high accuracy in plasma cell-free DNA with TNER2.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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