Papers
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan et al.
GigaPevt: Multimodal Medical Assistant
Pavel Blinov, Konstantin Egorov, Ivan Sviridov et al.
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process
Yuqiu Xie, Bolin Jiang, Jiawei Li et al.
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator
Xuyang Chen, Jingliang Duan, Lin Zhao
Gradformer: Graph Transformer with Exponential Decay
Chuang Liu, Zelin Yao, Yibing Zhan et al.
Graph Attention Network with High-Order Neighbor Information Propagation for Social Recommendation
Fei Xiong, Haoran Sun, Guixun Luo et al.
Graph Collaborative Expert Finding with Contrastive Learning
Qiyao Peng, Wenjun Wang, Hongtao Liu et al.
Graph Contrastive Learning with Reinforcement Augmentation
Ziyang Liu, Chaokun Wang, Cheng Wu
Graph Neural Networks for Brain Graph Learning: A Survey
Xuexiong Luo, Jia Wu, Jian Yang et al.
GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models
Serwan Jassim, Mario Holubar, Annika Richter et al.
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
Wei Duan, Jie Lu, Junyu Xuan
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
Yuchen Li, Haoyi Xiong, Linghe Kong et al.
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract)
Aleksandr V. Petrov, Craig Macdonald
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang, He Jiang, Varun Bhatt et al.
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Jiafeng Liang, Shixin Jiang, Zekun Wang et al.
Guide to Numerical Experiments on Elections in Computational Social Choice
Niclas Boehmer, Piotr Faliszewski, Łukasz Janeczko et al.
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
Jiageng Wu, Xian Wu, Jie Yang
Guiding GBFS through Learned Pairwise Rankings
Mingyu Hao, Felipe Trevizan, Sylvie Thiébaux et al.
Hacking Task Confounder in Meta-Learning
Jingyao Wang, Yi Ren, Zeen Song et al.
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
Chengqian Gao, William de Vazelhes, Hualin Zhang et al.
HeterGCL: Graph Contrastive Learning Framework on Heterophilic Graph
Chenhao Wang, Yong Liu, Yan Yang et al.
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
Kexin Zhang, Feng Huang, Luotao Liu et al.
Heterogeneous Graph Transformer with Poly-Tokenization
Zhiyuan Lu, Yuan Fang, Cheng Yang et al.
Hierarchical Reinforcement Learning for Point of Interest Recommendation
Yanan Xiao, Lu Jiang, Kunpeng Liu et al.