Zhenmei Shi

According to our database¹, Zhenmei Shi authored at least 22 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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On csauthors.net:

Bibliography

2024

Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability.

[BibT_eX]

[DOI]

Zhuoyan Xu

Zhenmei Shi

Yingyu Liang

CoRR, 2024

Differential Privacy of Cross-Attention with Provable Guarantee.

[BibT_eX]

[DOI]

CoRR, 2024

Differential Privacy Mechanisms in Neural Tangent Kernel Regression.

[BibT_eX]

[DOI]

CoRR, 2024

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Toward Infinite-Long Prefix in Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Tensor Attention Training: Provably Efficient Learning of Higher-order Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring the Frontiers of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Mathematical Reasoning and Modular Arithmetic.

[BibT_eX]

[DOI]

CoRR, 2024

Why Larger Language Models Do In-context Learning Differently?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Domain Generalization via Nuclear Norm Regularization.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Provable Guarantees for Neural Networks via Gradient Feature Learning.

[BibT_eX]

[DOI]

Zhenmei Shi

Junyi Wei

Yingyu Liang

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Attentive Walk-Aggregating Graph Neural Networks.

[BibT_eX]

[DOI]

Mehmet Furkan Demirel

Trans. Mach. Learn. Res., 2022

Deep Online Fused Video Stabilization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features.

[BibT_eX]

[DOI]

Zhenmei Shi

Junyi Wei

Yingyu Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2019

SF-Net: Structured Feature Network for Continuous Sign Language Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

DAWN: Dual Augmented Memory Network for Unsupervised Video Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2019

Zhenmei Shi

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