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Representation Learning

4516 directly classified papers

Papers per year

Papers

GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks AAAI 2020
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020
Knowledge-Graph Augmented Word Representations for Named Entity Recognition AAAI 2020
Latent Relation Language Models AAAI 2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020
Open Domain Event Text Generation AAAI 2020
Just Add Functions: A Neural-Symbolic Language Model AAAI 2020
Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020
Improving Entity Linking by Modeling Latent Entity Type Information AAAI 2020
Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020
Back to the Future – Temporal Adaptation of Text Representations AAAI 2020
PIQA: Reasoning about Physical Commonsense in Natural Language AAAI 2020
Shared Generative Latent Representation Learning for Multi-View Clustering AAAI 2020
Gromov-Wasserstein Factorization Models for Graph Clustering AAAI 2020
Unsupervised Domain Clusters in Pretrained Language Models ACL 2020
Do Transformers Need Deep Long-Range Memory? ACL 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020
Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract) AAAI 2020
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model (Student Abstract) AAAI 2020
Robust Multi-View Representation Learning (Student Abstract) AAAI 2020
Towards Consistent Variational Auto-Encoding (Student Abstract) AAAI 2020
Learning Feature Interactions with Lorentzian Factorization Machine AAAI 2020
Vector Quantization-Based Regularization for Autoencoders AAAI 2020
Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020