Papers
Learning Heuristic Functions with Graph Neural Networks for Numeric Planning
Valerio Borelli, Alfonso Gerevini, Enrico Scala et al.
Learning Intrinsic Hierarchy for Generalized Category Discovery
Yu Duan, Junzhi He, Zhanxuan Hu et al.
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
Reda Ouhamma, Maryam Kamgarpour
Learning Knowledge from Textual Descriptions for 3D Human Pose Estimation
Yi Wu, Jingtian Li, Shangfei Wang et al.
Learning Label Distribution with Dirichlet Process Mixture Model
Minglong Wang, Weiwei Li, Yunan Lu et al.
Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma
Ji Rao, Xinyu Liu, Yong Yi et al.
Learning Network Dismantling Without Handcrafted Inputs
Haozhe Tian, Pietro Ferraro, Robert Noel Shorten et al.
Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
Jingren Hou, Hong Wang, Pengyu Xu et al.
Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation
Zhengdong Hong, Guofeng Zhang
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang, Liwen Cao, Yanru Wu et al.
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
Xiangyu Kong, Hengde Zhu, Haoqin Sun et al.
Learning Procedural-Aware Video Representations Through State-Grounded Hierarchy Unfolding
Jinghan Zhao, Yifei Huang, Feng Lu
Learning Protein–Ligand Binding in Hyperbolic Space
Jianhui Wang, Wenyu Zhu, Bowen Gao et al.
Learning Spatial Decay for Vision Transformers
Yuxin Mao, Zhen Qin, Jinxing Zhou et al.
Learning Structurally Stabilized Representations for Lossless DNA Storage
Ben Cao, Xue Li, Tiantian He et al.
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics
Lincen Yang, Zhong Li, Matthijs van Leeuwen et al.
Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer
Gaole Dai, Huatao Xu, Yifan Yang et al.
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation
Yu Song, Zhigang Hua, Yan Xie et al.
Learning Through Concepts: Hierarchies, Logic and Reasoning
Deepika SN Vemuri
Learning Time in Static Classifiers
Xi Ding, Lei Wang, Piotr Koniusz et al.
Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis
Daixian Liu, Hau-Sing So, Haoran Chen et al.
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation
Inderjeet Singh, Eleonore Vissol-Gaudin, Andikan Otung et al.
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
Qisen Chai, Yansong Wang, Junjie Huang et al.
Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
Yeqin Zhang, Yizheng Zhao, Chen Hu et al.