Papers
GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning
Jie Ou, Shuaihong Jiang, Yingjun Du et al.
Gaussian Approximation for Two-Timescale Linear Stochastic Approximation
Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov et al.
Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting
Junseo Koo, Jinseo Jeong, Gunhee Kim
GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting
Tiantian Li, Xinjie Zhang, Xingtong Ge et al.
Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network
Ligang Zhang, Jun Li, Qiming Li
GazeInterpreter: Parsing Eye Gaze to Generate Eye-Body-Coordinated Narrations
Qing Chang, Zhiming Hu
GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction
Xiaohui Chen, Chuan-Xian Ren
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
Hangyuan Du, Rong Wang, Lixin Cui et al.
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
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.
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.
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
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