Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation

1 code implementation • 26 Apr 2024 • Nanxu Gong, Wangyang Ying, Dongjie Wang, Yanjie Fu

Within the learned embedding space, we leverage a multi-gradient search algorithm to find more robust and generalized embeddings with the objective of improving model performance and reducing feature subset redundancy.

feature selection

Learning Long-form Video Prior via Generative Pre-Training

1 code implementation • 24 Apr 2024 • Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou

Instead of operating on pixel space, it is efficient to employ visual locations like bounding boxes and keypoints to represent key information in videos, which can be simply discretized and then tokenized for consumption by GPT.