Showing 1–20 of 69 results
/ Date/ Name
Jan 20, 2023Introducing Expertise Logic into Graph Representation Learning from A Causal PerspectiveOct 24, 2022Monocular Dynamic View Synthesis: A Reality CheckJun 13, 2024Introducing Diminutive Causal Structure into Graph Representation LearningJul 5, 2024Vector Retrieval with Similarity and Diversity: How Hard Is It?Apr 15, 2024INMS: Memory Sharing for Large Language Model based AgentsFeb 1, 2021Hierarchical Ranking for Answer SelectionOct 27, 2018Low-shot Learning via Covariance-Preserving Adversarial Augmentation NetworksOct 10, 2019Using Neural Networks for Programming by DemonstrationSep 29, 2023Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle EvaluationMar 18, 2024Graph Partial Label Learning with Potential Cause DiscoveringMay 13, 2025LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism IdentificationNov 14, 2024Task-Aligned Tool Recommendation for Large Language ModelsJan 11, 2022Bootstrapping Informative Graph Augmentation via A Meta Learning ApproachOct 10, 2019Universal Adversarial Perturbation for Text ClassificationOct 7, 2019Deformable Kernels: Adapting Effective Receptive Fields for Object DeformationSep 8, 2024A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveysMar 14, 2026Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge GraphsDec 15, 2023Rethinking Causal Relationships Learning in Graph Neural NetworksAug 18, 2022Robust Causal Graph Representation Learning against Confounding EffectsDec 2, 2018Disentangling Propagation and Generation for Video Prediction