network structure

A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Case Study of Supplementary Adverbs NAACL 2025 MisinfoTeleGraph: Network-driven Misinformation Detection for German Telegram Messages ACL 2025 An Impossibility Theorem for Node Embedding AISTATS 2024 Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models CVPR 2024 Learning the Structure of Large Networked Systems Obeying Conservation Laws NeurIPS 2022 BNS: Building Network Structures Dynamically for Continual Learning NeurIPS 2021 Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel AAAI 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 Estimating Network Structure from Incomplete Event Data AISTATS 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content AAAI 2019 Forming Probably Stable Communities with Limited Interactions AAAI 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Learning Influence-Receptivity Network Structure with Guarantee AISTATS 2019 Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019 Optimizing Network Structure for 3D Human Pose Estimation ICCV 2019 Reward Maximization Under Uncertainty: Leveraging Side-Observations on Networks JMLR 2018 AdaNet: Adaptive Structural Learning of Artificial Neural Networks ICML 2017 User Profile Preserving Social Network Embedding IJCAI 2017 Learning from Contagion (Without Timestamps) ICML 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Mixed Graphical Models via Exponential Families AISTATS 2014 A Gang of Bandits NeurIPS 2013 Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012