Papers
8,127 papers found
Interval Selection with Binary Predictions
Christodoulos Karavasilis
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation
Jian Hu, Zixu Cheng, Shaogang Gong
Intoner: For Chinese Poetry Intoning Synthesis
Heda Zuo, Liyao Sun, Zeyu Lai et al.
Inverse Game Theory: An Incenter-Based Approach
Lvye Cui, Haoran Yu, Pierre Pinson et al.
Iterated Belief Change as Learning
Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny et al.
IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation
Yaqi Cai, Shancheng Fang, Yadong Qu et al.
Joint-Perturbation Simultaneous Pseudo-Gradient
Carlos Martin, Tuomas Sandholm
K-Buffers: A Plug-in Method for Enhancing Neural Fields with Multiple Buffers
Haofan Ren, Zunjie Zhu, Xiang Chen et al.
Keypoints as Dynamic Centroids for Unified Human Pose and Segmentation
Niaz Ahmad, Jawad Khan, Kang G. Shin et al.
KGCL: Knowledge-Enhanced Graph Contrastive Learning for Retrosynthesis Prediction Based on Molecular Graph Editing
Fengqin Yang, Dekui Zhao, Haoxuan Qiu et al.
kgMBQA: Quality Knowledge Graph-driven Multimodal Blind Image Assessment
Wuyuan Xie, Tingcheng Bian, Miaohui Wang
KIPPO: Koopman-Inspired Proximal Policy Optimization
Andrei Cozma, Landon Harris, Hairong Qi
Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis
Dominic Simon, Rickard Ewetz
Knowledge-Informed Deep Learning for Irrigation Type Mapping from Remote Sensing
Oishee Bintey Hoque, Nibir Chandra Mandal, Abhijin Adiga et al.
KnowMDD: Knowledge-guided Cross Contrastive Learning for Major Depressive Disorder Diagnosis
Anchen Lin, Weikun Wang, Haijun Han et al.
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
Chengcheng Mai, Yuxiang Wang, Ziyu Gong et al.
KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks
Siyuan Yang, Cheng Song, Zhilu Lai et al.
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning
Minghong Geng, Shubham Pateria, Budhitama Subagdja et al.
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
Zhiqiang Kou, Si Qin, Hailin Wang et al.
Language-Based Bayesian Optimization Research Assistant (BORA)
Abdoulatif Cissé, Xenophon Evangelopoulos, Vladimir V. Gusev et al.
Language-Conditioned Open-Vocabulary Mobile Manipulation with Pretrained Models
Shen Tan, Dong Zhou, Xiangyu Shao et al.
Language-Guided Hybrid Representation Learning for Visual Grounding on Remote Sensing Images
Biao Liu, Xu Liu, Lingling Li et al.
Large Language Model Meets Constraint Propagation
Alexandre Bonlarron, Florian Régin, Elisabetta De Maria et al.
Large Language Models for Causal Discovery: Current Landscape and Future Directions
Guangya Wan, Yunsheng Lu, Yuqi Wu et al.