Papers
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
Ge Gao, Xi Yang, Min Chi
Get an A in Math: Progressive Rectification Prompting
Zhenyu Wu, Meng Jiang, Chao Shen
Ghost Noise for Regularizing Deep Neural Networks
Atli Kosson, Dongyang Fan, Martin Jaggi
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
Chenglong Liu, Haoran Wei, Jinze Yang et al.
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations
Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
Le Cheng, Peican Zhu, Keke Tang et al.
GLDL: Graph Label Distribution Learning
Yufei Jin, Richard Gao, Yi He et al.
GLH-Water: A Large-Scale Dataset for Global Surface Water Detection in Large-Size Very-High-Resolution Satellite Imagery
Yansheng Li, Bo Dang, Wanchun Li et al.
G–LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint)
Xuhong Li, Haoyi Xiong, Xingjian Li et al.
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time
Haoran Ye, Jiarui Wang, Helan Liang et al.
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Yuting Wang, Jinpeng Wang, Bin Chen et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
Fan Wu, Jinling Gao, Lanqing Hong et al.
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui, Sarath Sreedharan
GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following
Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
Luzhi Wang, Dongxiao He, He Zhang et al.
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Furong Jia, Kevin Wang, Yixiang Zheng et al.
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation
Hao Liu, Xin Li, Mingming Gong et al.
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Hao Wang, Shengda Luo, Guosheng Hu et al.
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
Sascha Marton, Stefan Lüdtke, Christian Bartelt et al.
Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing
Hao Li, Mengqi Huang, Lei Zhang et al.
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Hui Lin, Zhiheng Ma, Xiaopeng Hong et al.
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
Hui Tang, Xun Liang, Sensen Zhang