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Representation Learning

4,516 papers

Papers per year

Papers

Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction AAAI 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs AAAI 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021
Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction AAAI 2021
Learning from Crowds by Modeling Common Confusions AAAI 2021
Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition AAAI 2021
Learning Term Embeddings for Lexical Taxonomies AAAI 2021
Frivolous Units: Wider Networks Are Not Really That Wide AAAI 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications AAAI 2021
Continuous-Time Attention for Sequential Learning AAAI 2021
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021
Learning with Retrospection AAAI 2021
Knowledge Refinery: Learning from Decoupled Label AAAI 2021
Semi-Supervised Metric Learning: A Deep Resurrection AAAI 2021
Collaborative Group Learning AAAI 2021
Uncertainty-Aware Multi-View Representation Learning AAAI 2021
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization AAAI 2021
Towards Reusable Network Components by Learning Compatible Representations AAAI 2021
Neural Utility Functions AAAI 2021
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks AAAI 2021
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021
Multi-View Representation Learning with Manifold Smoothness AAAI 2021