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Found 3 papers, 1 papers with code
MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
However, understanding the intention behind social media posts remains challenging due to the implicitness of intentions in social media posts, the need for cross-modality understanding of both text and images, and the presence of noisy information such as hashtags, misspelled words, and complicated abbreviations.
SSGD: A safe and efficient method of gradient descent
In this paper, to prevent gradient leakage while keeping the accuracy of model, we propose the super stochastic gradient descent approach to update parameters by concealing the modulus length of gradient vectors and converting it or them into a unit vector.
Building a Computer Mahjong Player via Deep Convolutional Neural Networks
The evaluation function for imperfect information games is always hard to define but owns a significant impact on the playing strength of a program.
