representation learning

Gradients as Features for Deep Representation Learning ICLR 2020 Graduate Employment Prediction with Bias AAAI 2020 GraLSP: Graph Neural Networks with Local Structural Patterns AAAI 2020 Graph Contrastive Learning with Augmentations NeurIPS 2020 Graph Geometry Interaction Learning NeurIPS 2020 Graph Information Bottleneck NeurIPS 2020 Graph Neural News Recommendation with Unsupervised Preference Disentanglement ACL 2020 Graph-to-Tree Learning for Solving Math Word Problems ACL 2020 GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition CVPR 2020 Guided Variational Autoencoder for Disentanglement Learning CVPR 2020 Hard Negative Mixing for Contrastive Learning NeurIPS 2020 Heterogeneous Network Representation Learning IJCAI 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 2020 Hierarchical Conditional Relation Networks for Video Question Answering CVPR 2020 Hierarchical Feature Embedding for Attribute Recognition CVPR 2020 Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces IJCAI 2020 Hierarchically Clustered Representation Learning AAAI 2020 Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems NeurIPS 2020 Hierarchically Robust Representation Learning CVPR 2020 Hierarchical nucleation in deep neural networks NeurIPS 2020 Hierarchical Pyramid Diverse Attention Networks for Face Recognition CVPR 2020 How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems ACL 2020 How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence ACL 2020 How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation CoNLL 2020 Hyperbolic Capsule Networks for Multi-Label Classification ACL 2020