Representation Learning

Learning Dynamic Relationships for 3D Human Motion Prediction CVPR 2020 Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification EMNLP 2020 Learning Fast and Robust Target Models for Video Object Segmentation CVPR 2020 Learning Feature Interactions with Lorentzian Factorization Machine AAAI 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020 Learning Flat Latent Manifolds with VAEs ICML 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Learning from Aggregate Observations NeurIPS 2020 Learning from Irregularly-Sampled Time Series: A Missing Data Perspective ICML 2020 Learning from Non-Binary Constituency Trees via Tensor Decomposition COLING 2020 Learning Gaussian Graphical Models via Multiplicative Weights AISTATS 2020 Learning Geo-Contextual Embeddings for Commuting Flow Prediction AAAI 2020 Learning Graph Structure With A Finite-State Automaton Layer NeurIPS 2020 Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech ICLR 2020 Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment CVPR 2020 Learning Implicit Text Generation via Feature Matching ACL 2020 Learning Informative Representations of Biomedical Relations with Latent Variable Models EMNLP 2020 Learning Interpretable Representations with Informative Entanglements IJCAI 2020 Learning Invariants through Soft Unification NeurIPS 2020 Learning Ising and Potts Models with Latent Variables AISTATS 2020 Learning Joint Articulatory-Acoustic Representations with Normalizing Flows Interspeech 2020 Learning Latent Representations to Influence Multi-Agent Interaction CoRL 2020 Learning Latent Space Energy-Based Prior Model NeurIPS 2020 Learning Manifold Implicitly via Explicit Heat-Kernel Learning NeurIPS 2020 Learning Mixed Latent Tree Models JMLR 2020