Peiyuan Liao

Orcid: 0000-0002-4387-7940

According to our database1, Peiyuan Liao authored at least 13 papers between 2018 and 2024.

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Bibliography

2024
GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism.
CoRR, 2024

2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

2022
The ArtBench Dataset: Benchmarking Generative Models with Artworks.
CoRR, 2022

Learning Weakly-supervised Contrastive Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Collage: Seamless Integration of Deep Learning Backends with Automatic Placement.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
Collage: Automated Integration of Deep Learning Backends.
CoRR, 2021

Integrating Auxiliary Information in Self-supervised Learning.
CoRR, 2021

Information Obfuscation of Graph Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Google Landmark Recognition 2020 Competition Third Place Solution.
CoRR, 2020

Graph Adversarial Networks: Protecting Information against Adversarial Attacks.
CoRR, 2020

2019
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive Autoencoders.
CoRR, 2019

2018
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation.
CoRR, 2018

Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping.
CoRR, 2018


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