latent structure

Hybrid Summarization with Semantic Weighting Reward and Latent Structure Detector ACML 2021 Impression learning: Online representation learning with synaptic plasticity NeurIPS 2021 Learning Signal-Agnostic Manifolds of Neural Fields NeurIPS 2021 Modeling Hierarchical Structures with Continuous Recursive Neural Networks ICML 2021 SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks NeurIPS 2021 StructSum: Summarization via Structured Representations EACL 2021 AMR Parsing with Latent Structural Information ACL 2020 Asking without Telling: Exploring Latent Ontologies in Contextual Representations EMNLP 2020 Geometric All-way Boolean Tensor Decomposition NeurIPS 2020 Inducing Target-Specific Latent Structures for Aspect Sentiment Classification EMNLP 2020 Reasoning with Latent Structure Refinement for Document-Level Relation Extraction ACL 2020 Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling IJCAI 2020 Scalable inference of topic evolution via models for latent geometric structures NeurIPS 2019 Statistical Model Aggregation via Parameter Matching NeurIPS 2019 Towards Interpretable Object Detection by Unfolding Latent Structures ICCV 2019 A Framework for the Quantitative Evaluation of Disentangled Representations ICLR 2018 A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text ACL 2018 Dynamic and Static Topic Model for Analyzing Time-Series Document Collections ACL 2018 Towards Dynamic Computation Graphs via Sparse Latent Structure EMNLP 2018 Gaussian process based nonlinear latent structure discovery in multivariate spike train data NeurIPS 2017 Unified Representation and Lifted Sampling for Generative Models of Social Networks IJCAI 2017 Bayesian latent structure discovery from multi-neuron recordings NeurIPS 2016 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016 Nonparametric Network Models for Link Prediction JMLR 2016 Learning Maximum Margin Temporal Warping for Action Recognition ICCV 2013