Papers
Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption
Lies Hadjadj, Massih-Reza Amini, Sana Louhichi
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li, Pradeep Varakantham, Dexun Li
Generalized Discriminative Deep Non-Negative Matrix Factorization Based on Latent Feature and Basis Learning
Zijian Yang, Zhiwei Li, Lu Sun
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs
Mingyang Chen, Wen Zhang, Yuxia Geng et al.
Generative Diffusion Models on Graphs: Methods and Applications
Chengyi Liu, Wenqi Fan, Yunqing Liu et al.
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs
Yinchuan Li, Zhigang Li, Wenqian Li et al.
Genetic Prompt Search via Exploiting Language Model Probabilities
Jiangjiang Zhao, Zhuoran Wang, Fangchun Yang
Get Out of the BAG! Silos in AI Ethics Education: Unsupervised Topic Modeling Analysis of Global AI Curricula (Extended Abstract)
Rana Tallal Javed, Osama Nasir, Melania Borit et al.
GIDnets: Generative Neural Networks for Solving Inverse Design Problems via Latent Space Exploration
Carlo Adornetto, Gianluigi Greco
Globally Consistent Federated Graph Autoencoder for Non-IID Graphs
Kun Guo, Yutong Fang, Qingqing Huang et al.
GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction
Peiying Li, Yongchang Liu, Shikui Tu et al.
GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control
Yilin Liu, Guiyang Luo, Quan Yuan et al.
GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization
Xixi Yang, Li Fu, Yafeng Deng et al.
Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract)
Kebing Jin, Hankz Hankui Zhuo, Zhanhao Xiao et al.
Graph-based Molecular Representation Learning
Zhichun Guo, Kehan Guo, Bozhao Nan et al.
Graph-based Polyphonic Multitrack Music Generation
Emanuele Cosenza, Andrea Valenti, Davide Bacciu
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
Zhaiming Shen, Ming-Jun Lai, Sheng Li
Graph Neural Convection-Diffusion with Heterophily
Kai Zhao, Qiyu Kang, Yang Song et al.
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Chuang Liu, Yibing Zhan, Jia Wu et al.
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen, Hao Tan, Tao Wang et al.
Graph Sampling-based Meta-Learning for Molecular Property Prediction
Xiang Zhuang, Qiang Zhang, Bin Wu et al.
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
Xingyu Lu, Zhining Liu, Yanchu Guan et al.
GreenPLM: Cross-Lingual Transfer of Monolingual Pre-Trained Language Models at Almost No Cost
Qingcheng Zeng, Lucas Garay, Peilin Zhou et al.
Group Fairness in Set Packing Problems
Sharmila Duppala, Juan Luque, John Dickerson et al.