Papers
1,988 papers found
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
Kangning Liu, Brian Price, Jason Kuen et al.
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation
Chubin Zhang, Hongliang Song, Yi Wei et al.
Are Graph Neural Networks Optimal Approximation Algorithms?
Morris Yau, Nikolaos Karalias, Eric Lu et al.
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading
Qi Bi, Jingjun Yi, Hao Zheng et al.
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries
Yuhang Lu, Xinge Zhu, Tai Wang et al.
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
Cong Xu, Jun Wang, Jianyong Wang et al.
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
Shukai Duan, Heng Ping, Nikos Kanakaris et al.
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng, Xuelin Yang, Li Chen et al.
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
Gonçalo R. A. Faria, Sweta Agrawal, António Farinhas et al.
From Chaos to Clarity: 3DGS in the Dark
Zhihao Li, Yufei Wang, Alex Kot et al.
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model
Chaoya Jiang, Hongrui Jia, Haiyang Xu et al.
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu, Ling Yang, Jun-Hai Yong et al.
DisC-GS: Discontinuity-aware Gaussian Splatting
Haoxuan Qu, Zhuoling Li, Hossein Rahmani et al.
SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding
Jiefeng Ma, Yan Wang, Chenyu Liu et al.
FLAME : Factuality-Aware Alignment for Large Language Models
Sheng-Chieh Lin, Luyu Gao, Barlas Oguz et al.
EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking
Nuwan Bandara, Thivya Kandappu, Argha Sen et al.
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
Yu Zhao, Hao Fei, Xiangtai Li et al.
FairWire: Fair Graph Generation
O. Deniz Kose, Yanning Shen
Towards Principled Graph Transformers
Luis Müller, Daniel Kusuma, Blai Bonet et al.
DistrictNet: Decision-aware learning for geographical districting
Cheikh Ahmed, Alexandre Forel, Axel Parmentier et al.
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization
Mijeong Kim, Jongwoo Lim, Bohyung Han
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
Xi Chen, Chuan Qin, Chuyu Fang et al.
Compositional 3D-aware Video Generation with LLM Director
Hanxin Zhu, Tianyu He, Anni Tang et al.
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Xiaoxue Han, Zhuo Feng, Yue Ning
Model Sensitivity Aware Continual Learning
Zhenyi Wang, Heng Huang