Papers
GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs
Yating Ren, Yikun Ban, Huobin Tan
GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization
Yanchen Deng, Xinrun Wang, Bo An
GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS
Yongsung Kim, Jooyoung Choi, Sungroh Yoon
GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation
Sungmin Kang, Jisoo Kim, Salman Avestimehr et al.
GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation
Zhenxuan Zhang, KinHei Lee, Peiyuan Jing et al.
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
Zheng Wu, Pengzhou Cheng, Zongru Wu et al.
GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs
Yiyang Zhao, Huiyu Bai, Xuejiao Zhao
GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models
Shurong Zheng, Yousong Zhu, Hongyin Zhao et al.
Gen-AFFECT: Generation of Avatar Fine-grained Facial Expressions with Consistent identiTy
Hao Yu, Rupayan Mallick, Margrit Betke et al.
Gene-DML: Dual-Pathway Multi-Level Discrimination for Gene Expression Prediction from Histopathology Images
Yaxuan Song, Jianan Fan, Hang Chang et al.
Gene Incremental Learning for Single-Cell Transcriptomics
Jiaxin Qi, Yan Cui, Jianqiang Huang et al.
GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences
Jingquan Yan, Yuwei Miao, Lei Yu et al.
General and Domain-Specific Zero-shot Detection of Generated Images via Conditional Likelihood
Roy Betser, Omer Hofman, Roman Vainshtein et al.
Generalising LLM Routing using Past Performance Retrieval: A Few-Shot Router is Sufficient
Clovis Varangot-Reille, Christophe Bouvard, Antoine Gourru
Generalising Traffic Forecasting to Regions Without Traffic Observations
Xinyu Su, Majid Sarvi, Feng Liu et al.
Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts
Luyang Fang, Tao Wang, Ping Ma et al.
Generalizable Drug–Target Interaction Prediction via ESM-2 Representations and Progressive Contrastive Curriculum Learning
Qianyang Wu, Jingwei Lv, Zilong Zhang et al.
Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning
Xuan Lai, Luying Zhong, Tianying Lu et al.
Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
Sumin Lee, Sungwon Park, Jeasurk Yang et al.
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
Antoine Ledent, Soo Mun Chong, Nong Minh Hieu
Generalization of Real World Video Deblurring By Image-to-Image Translation
Kassymzhomart Aitbek, Seungjoon Yang
Generalized Category Discovery for LiDAR Semantic Segmentation
Minseok Kim, Jiyong Boo, Kuk-Jin Yoon
Generalized Geometry Encoding Volume for Real-time Stereo Matching
Jiaxin Liu, Gangwei Xu, Xianqi Wang et al.
Generalized-Scale Object Counting with Gradual Query Aggregation
Jer Pelhan, Alan Lukežič, Matej Kristan