Yiyou Sun

According to our database, Yiyou Sun authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.

Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen

CoRR, 2024

Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton.

Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen

CoRR, 2024

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OpenCon: Open-world Contrastive Learning.

Yiyou Sun, Yixuan Li

Trans. Mach. Learn. Res., 2023

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

CoRR, 2023

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.

Yiyou Sun, Zhenmei Shi, Yixuan Li

CoRR, 2023

Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory.

Yiyou Sun

CoRR, 2023

Dream the Impossible: Outlier Imagination with Diffusion Models.

Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li

CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CoRR, 2023

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.

Yiyou Sun, Zhenmei Shi, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dream the Impossible: Outlier Imagination with Diffusion Models.

Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis.

Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2023

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment.

Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Open-world Contrastive Learning.

Yiyou Sun, Yixuan Li

CoRR, 2022

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection.

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

CoRR, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Delving into Out-of-Distribution Detection with Vision-Language Representations.

Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Out-of-Distribution Detection with Deep Nearest Neighbors.

Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

DICE: Leveraging Sparsification for Out-of-Distribution Detection.

Yiyou Sun, Yixuan Li

Proceedings of the Computer Vision, 2022

2021

On the Effectiveness of Sparsification for Detecting the Deep Unknowns.

Yiyou Sun, Yixuan Li

CoRR, 2021

ReAct: Out-of-distribution Detection With Rectified Activations.

Yiyou Sun, Chuan Guo, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Learning Data Structure Alchemy.

Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike S. Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun

IEEE Data Eng. Bull., 2019

Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks.

Yiyou Sun, Sathya N. Ravi, Vikas Singh

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

The Periodic Table of Data Structures.

Stratos Idreos, Kostas Zoumpatianos, Manos Athanassoulis, Niv Dayan, Brian Hentschel, Michael S. Kester, Demi Guo, Lukas M. Maas, Wilson Qin, Abdul Wasay, Yiyou Sun

IEEE Data Eng. Bull., 2018

Revisiting the Importance of Individual Units in CNNs via Ablation.

Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba

CoRR, 2018

Interpretable Basis Decomposition for Visual Explanation.

Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Faster R-CNN based autonomous navigation for vehicles in warehouse.

Yiyou Sun, Tonghua Su, Zhiying Tu

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017