( en | de | ru )

 

Disambiguation of "Liang, Yingyu"

Author of the publication

copydeleteadd this publication to your clipboard
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.

, , , , , and . J. Mach. Learn. Res., (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yingyu Liang

Liang Liang

Liang-Liang Fu

Qian Liang

Tzan Jing Liang

 

Other publications of authors with the same name

Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2712-2737. PMLR, (2020)Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability., , and . CoRR, (2024)PBoS: Probabilistic Bag-of-Subwords for Generalizing Word Embedding., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 596-611. Association for Computational Linguistics, (2020)Towards Understanding Limitations of Pixel Discretization Against Adversarial Attacks., , , , and . EuroS&P, page 480-495. IEEE, (2019)ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining., , , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 430-445. Springer, (2021)Beyond Fine-tuning: Few-Sample Sentence Embedding Transfer., , and . AACL/IJCNLP, page 460-469. Association for Computational Linguistics, (2020)Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning., , and . AAAI, page 9977-9978. AAAI Press, (2019)Learning Entangled Single-Sample Distributions via Iterative Trimming., and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2666-2676. PMLR, (2020)A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features., , and . ICLR, OpenReview.net, (2022)Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers., , and . NeurIPS, page 6155-6166. (2019)