Papers
Generative Calibration of Inaccurate Annotation for Label Distribution Learning
Liang He, Yunan Lu, Weiwei Li et al.
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
Generative Model for Decision Trees
Riccardo Guidotti, Anna Monreale, Mattia Setzu et al.
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
Guipeng Lan, Shuai Xiao, Jiachen Yang et al.
Generative Multi-Modal Knowledge Retrieval with Large Language Models
Xinwei Long, Jiali Zeng, Fandong Meng et al.
Generator Assisted Mixture of Experts for Feature Acquisition in Batch
Vedang Asgaonkar, Aditya Jain, Abir De
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation
Can Xu, Haosen Wang, Weigang Wang et al.
Geometry-Guided Domain Generalization for Monocular 3D Object Detection
Fan Yang, Hui Chen, Yuwei He et al.
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.