Yu Sun

34 papers A* 8A 1Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to Discover at Test Time.
CoRR
Mert Yüksekgönül, Daniel Koceja, Xinhao Li, Federico Bianchi, Jed McCaleb, Xiaolong Wang, Jan Kautz, Yejin Choi, James Zou, Carlos Guestrin, Yu Sun
2026 J jnl
UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.
Pattern Recognit.
Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2025 J jnl
End-to-End Test-Time Training for Long Context.
CoRR
Arnuv Tandon, Karan Dalal, Xinhao Li, Daniel Koceja, Marcel Rød, Sam Buchanan, Xiaolong Wang, Jure Leskovec, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin, Jed McCaleb, Yejin Choi, Yu Sun
2025 A* conf
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
ICML
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2025 A* conf
One-Minute Video Generation with Test-Time Training.
CVPR
Karan Dalal, Daniel Koceja, Jiarui Xu, Yue Zhao, Shihao Han, Ka Chun Cheung, Jan Kautz, Yejin Choi, Yu Sun, Xiaolong Wang
2025 J jnl
One-Minute Video Generation with Test-Time Training.
CoRR
Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang
2025 J jnl
Test-Time Training on Video Streams.
J. Mach. Learn. Res.
Renhao Wang, Yu Sun, Arnuv Tandon, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
2024 — conf
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
MICCAI (1)
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
CoRR
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Learning to (Learn at Test Time): RNNs with Expressive Hidden States.
CoRR
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
2024 J jnl
Sequence-aware Pre-training for Echocardiography Probe Guidance.
CoRR
Haojun Jiang, Zhenguo Sun, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2024 — conf
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
ASMUS@MICCAI
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
CoRR
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 A* conf
Test-Time Training on Nearest Neighbors for Large Language Models.
ICLR
Moritz Hardt, Yu Sun
2023 J jnl
Learning to (Learn at Test Time).
CoRR
Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen
2023 J jnl
Test-Time Training on Nearest Neighbors for Large Language Models.
CoRR
Moritz Hardt, Yu Sun
2023 J jnl
Test-Time Training on Video Streams.
CoRR
Renhao Wang, Yu Sun, Yossi Gandelsman, Xinlei Chen, Alexei A. Efros, Xiaolong Wang
2022 A* conf
Test-Time Training with Masked Autoencoders.
NeurIPS
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros
2022 J jnl
Test-Time Training with Masked Autoencoders.
CoRR
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei A. Efros
2021 A* conf
Self-Supervised Policy Adaptation during Deployment.
ICLR
Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
2020 J jnl
Self-Supervised Policy Adaptation during Deployment.
CoRR
Nicklas Hansen, Yu Sun, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang
2020 A* conf
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.
ICML
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
2019 J jnl
Test-Time Training for Out-of-Distribution Generalization.
CoRR
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt
2019 J jnl
Unsupervised Domain Adaptation through Self-Supervision.
CoRR
Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros
2018 J jnl
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.
Trans. Assoc. Comput. Linguistics
Xilun Chen, Yu Sun, Ben Athiwaratkun, Claire Cardie, Kilian Q. Weinberger
2018 J jnl
An empirical study on evaluation metrics of generative adversarial networks.
CoRR
Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Q. Weinberger
2017 A* conf
On Calibration of Modern Neural Networks.
ICML
Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger
2017 J jnl
On Calibration of Modern Neural Networks.
CoRR
Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger
2016 J jnl
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification.
CoRR
Xilun Chen, Ben Athiwaratkun, Yu Sun, Kilian Q. Weinberger, Claire Cardie
2016 — conf
Deep Networks with Stochastic Depth.
ECCV (4)
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016 J jnl
Deep Networks with Stochastic Depth.
CoRR
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
2016 A conf
Private Causal Inference.
AISTATS
Matt J. Kusner, Yu Sun, Karthik Sridharan, Kilian Q. Weinberger
2016 — conf
Supervised Word Mover's Distance.
NIPS
Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger
2015 A* conf
From Word Embeddings To Document Distances.
ICML
Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger