Publication Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks Jun Yin, Senzhang Wang, Hao Yang, Chaozhuo Li, Jianxun Lian NeurIPS 2023 | October 2023
Publication Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning Hongyu Zang, Xin Li, Leiji Zhang, Yang Liu, Baigui Sun, Riashat Islam, Remi Tachet des Combes, Romain Laroche NeurIPS 2023 | October 2023
Publication DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder Tianyu He, Sheng Zhao, Jiang Bian ACM International Conference on Multimedia | October 2023
Publication HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details Tianyu He, Muscle Wu, Sheng Zhao, Jiang Bian International Conference on Computer Vision | October 2023
Publication To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion Rui Li, Chaozhuo Li, Yanming Shen, Xu Chen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, weiwei deng, Qi Zhang, Xing Xie ACL 2023 | October 2023
Publication LayoutPrompter: Awaken the Design Ability of Large Language Models Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang NeurIPS 2023 | October 2023
Publication Feature Decoupling Alignment for Fine-tuning Pre-trained Models in Few-shot Learning Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang NeurIPS 2023 | October 2023
Publication Efficient Model-Free Exploration in Low-Rank MDPs Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin NeurIPS 2023 | October 2023
Publication Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin NeurIPS 2023 | October 2023
Publication Q-DM: An Efficient Low-bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun NeurIPS 2023 | October 2023