Papers
1,988 papers found
GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction
Zhiming Li, Yuchen Lyu
GranAlign: Granularity-Aware Alignment Framework for Zero-shot Video Moment Retrieval
Mingyu Jeon, Sunjae Yoon, Jonghee Kim et al.
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting
Yuning Peng, Haiping Wang, Yuan Liu et al.
Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling
Jiale Liu, Haoming Zhou, Yishu Liu et al.
Multi-View Clustering with Granularity-Aware Pseudo Supervision
Jie Yang, Cheng-You Lu, Zhongli Wang et al.
Geometric Granularity Aware Pixel-To-Mesh
Yue Shi, Bingbing Ni, Jinxian Liu et al.
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction
Yinan Bao, Qianwen Ma, Lingwei Wei et al.
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction
Shunfan Li, Jiangkai Long, Xin Zou et al.
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training
Wenbo Li, Guohao Li, Zhibin Lan et al.
AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity
Yu Zhang, Dong Guo, Fang Wu et al.
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
Xinquan Yu, Ziqi Sheng, Wei Lu et al.
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing
Tianfei Zhou, Wenguan Wang, Si Liu et al.
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
Tengyu Pan, Zhichao Duan, Zhenyu Li et al.
Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke et al.
Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh, Yaakov Engel
Similarity by Composition
Oren Boiman, Michal Irani
Learning on Graph with Laplacian Regularization
Rie K. Ando, Tong Zhang
Online Metric Learning and Fast Similarity Search
Prateek Jain, Brian Kulis, Inderjit S. Dhillon et al.
Which graphical models are difficult to learn?
Andrea Montanari, Jose A. Pereira
Submodularity Cuts and Applications
Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda et al.
Query-Aware MCMC
Michael L. Wick, Andrew McCallum
Large-Scale Category Structure Aware Image Categorization
Bin Zhao, Fei Li, Eric P. Xing
Privacy Aware Learning
Martin J. Wainwright, Michael I. Jordan, John C. Duchi
Similarity Component Analysis
Soravit Changpinyo, Kuan Liu, Fei Sha