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Shifan Zhao

2 accepted papers

2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

EMNLP 2023long findings

Previous research has demonstrated the advantages of integrating data from multiple sources over traditional unimodal data, leading to the emergence of numerous novel multimodal applications. We propose a multimodal classification benchmark MuG with eight datasets that allows researchers to evaluate…

Cited by 0SourcecodeScholar
2022

GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING

ICLR 2022poster

Many modern machine learning algorithms such as generative adversarial networks (GANs) and adversarial training can be formulated as minimax optimization.Gradient descent ascent (GDA) is the most commonly used algorithm due to its simplicity. However, GDA can converge to non-optimal minimax points.…

Cited by 13SourcePDFScholar