Representation Learning

Language-Agnostic Representation Learning of Source Code from Structure and Context ICLR 2021 Language Representations for Generalization in Reinforcement Learning ACML 2021 Learning Generalizable Visual Representations via Interactive Gameplay ICLR 2021 Learning One Representation to Optimize All Rewards NeurIPS 2021 On the Critical Role of Conventions in Adaptive Human-AI Collaboration ICLR 2021 Probing BERT in Hyperbolic Spaces ICLR 2021 A Mutual Information Maximization Perspective of Language Representation Learning ICLR 2020 CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations NeurIPS 2020 Gradients as Features for Deep Representation Learning ICLR 2020 Hypernym Detection Using Strict Partial Order Networks AAAI 2020 Improving Neural Language Generation with Spectrum Control ICLR 2020 Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? ICLR 2020 Learning Code Changes by Exploiting Bidirectional Converting Deviation ACML 2020 Learning Dynamic Context Graph Embedding ACML 2020 Learning to Represent Programs with Property Signatures ICLR 2020 Low-dimensional statistical manifold embedding of directed graphs ICLR 2020 Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells ICLR 2020 Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data ICLR 2020 On Mutual Information Maximization for Representation Learning ICLR 2020 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 Theory and Evaluation Metrics for Learning Disentangled Representations ICLR 2020 Unsupervised Distillation of Syntactic Information from Contextualized Word Representations EMNLP 2020 Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors ICLR 2019 Hyperbolic Ordinal Embedding ACML 2019 Learning Mixed-Curvature Representations in Product Spaces ICLR 2019