Yiyou Sun

Orcid: 0000-0002-6860-3874

According to our database1, Yiyou Sun authored at least 31 papers between 2017 and 2024.

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Bibliography

2024
Improving Logits-based Detector without Logits from Black-box LLMs.
CoRR, 2024

Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR, 2024

Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton.
CoRR, 2024

Uncertainty Quantification for In-Context Learning of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
OpenCon: Open-world Contrastive Learning.
Trans. Mach. Learn. Res., 2023

Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory.
CoRR, 2023

Dream the Impossible: Outlier Imagination with Diffusion Models.
CoRR, 2023

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.
CoRR, 2023

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Open-world Contrastive Learning.
CoRR, 2022

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection.
CoRR, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.
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.
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.
Proceedings of the International Conference on Machine Learning, 2022

DICE: Leveraging Sparsification for Out-of-Distribution Detection.
Proceedings of the Computer Vision, 2022

2021
On the Effectiveness of Sparsification for Detecting the Deep Unknowns.
CoRR, 2021

ReAct: Out-of-distribution Detection With Rectified Activations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019
Learning Data Structure Alchemy.
IEEE Data Eng. Bull., 2019

Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
The Periodic Table of Data Structures.
IEEE Data Eng. Bull., 2018

Revisiting the Importance of Individual Units in CNNs via Ablation.
CoRR, 2018

Interpretable Basis Decomposition for Visual Explanation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Faster R-CNN based autonomous navigation for vehicles in warehouse.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2017


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