Papers
Learning to Cooperate with Minimal Observability
Chin-wing Leung, Paolo Turrini, Fernando P. Santos et al.
Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity
Xovee Xu, Shuojun Lin, Fan Zhou et al.
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
Yingji Zhang, Marco Valentino, Danilo Carvalho et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction
Guangjun Zhang, Hu Zhang, Yazhou Han et al.
Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation
Jing Xiao, Xinhai Chen, Jiaming Peng et al.
Learning to LEAP: Efficient Dense Point Tracking by Focusing Where It Matters
Chenzhi Zhao, Wufan Wang, Bo Zhang et al.
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
Rui Zhang, Jianwei Niu, Xuefeng Liu et al.
Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping
Zeying Duan, Youtian Du, Yuanlin Chang et al.
Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation
Shengnan Hu, Yandong Liu, Jiangnan Liu et al.
Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks
Xuan Yu, Tianyang Xu
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
Elad Shoham, Omri Haber, Havana Rika et al.
Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment
Wenti Yin, Huaxin Zhang, Xiang Wang et al.
Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng et al.
Learning Underwater Image Enhancement Iteratively Without Reference Images
Yi Tang, Hiroshi Kawasaki, Takafumi Iwaguchi et al.
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Xinhang Ma, Junlin Wu, Hussein Sibai et al.
Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering
Hang Gao, Zuosong Cai, Yuze Li et al.
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs
Aritra Banik, Mano Prakash Parthasarathi, Venkatesh Raman et al.
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu et al.
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
Lianghui Zhu, Bin Ouyang, Yuxuan Zhang et al.
Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection
Yali Huang, Jie Mei, Ziyi Wu et al.
Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective
Tianqi Jiang, Liu Yang, Xi-Le Zhao et al.