Yu Sun

Affiliations:
  • Stanford University, CA, USA
  • Cornell University, NY, USA (former)


According to our database1, Yu Sun authored at least 18 papers between 2015 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Sequence-aware Pre-training for Echocardiography Probe Guidance.
CoRR, 2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Test-Time Training on Nearest Neighbors for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Test-Time Training on Video Streams.
CoRR, 2023

2022
Test-Time Training with Masked Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Self-Supervised Policy Adaptation during Deployment.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Self-Supervised Policy Adaptation during Deployment.
CoRR, 2020

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Test-Time Training for Out-of-Distribution Generalization.
CoRR, 2019

Unsupervised Domain Adaptation through Self-Supervision.
CoRR, 2019

2018
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.
Trans. Assoc. Comput. Linguistics, 2018

An empirical study on evaluation metrics of generative adversarial networks.
CoRR, 2018

2017
On Calibration of Modern Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Supervised Word Mover's Distance.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Deep Networks with Stochastic Depth.
Proceedings of the Computer Vision - ECCV 2016, 2016

Private Causal Inference.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
From Word Embeddings To Document Distances.
Proceedings of the 32nd International Conference on Machine Learning, 2015


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