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Representation Learning

4516 directly classified papers

Papers per year

Papers

Adaptive Subspaces for Few-Shot Learning CVPR 2020
Deep Grouping Model for Unified Perceptual Parsing CVPR 2020
Structure-Guided Ranking Loss for Single Image Depth Prediction CVPR 2020
Deep Metric Learning via Adaptive Learnable Assessment CVPR 2020
Extremely Dense Point Correspondences Using a Learned Feature Descriptor CVPR 2020
Proxy Anchor Loss for Deep Metric Learning CVPR 2020
Style Normalization and Restitution for Generalizable Person Re-Identification CVPR 2020
Learning to Generate Maps from Trajectories AAAI 2020
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer AAAI 2020
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment AAAI 2020
Learning Attentive Pairwise Interaction for Fine-Grained Classification AAAI 2020
FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020
Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation AAAI 2020
A Cross-Task Analysis of Text Span Representations ACL 2020
Representation Learning for Type-Driven Composition CONLL 2020
Learning Geometric Word Meta-Embeddings ACL 2020
Compositionality and Capacity in Emergent Languages ACL 2020
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages ACL 2020
Silhouette Guided Point Cloud Reconstruction beyond Occlusion WACV 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation JMLR 2020
Modelling Lexical Ambiguity with Density Matrices CONLL 2020
Syntactic Parsing in Humans and Machines ACL 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations AISTATS 2020
Single Camera Training for Person Re-Identification AAAI 2020