Representation Learning

Predicting Typological Features in WALS using Language Embeddings and Conditional Probabilities: ÚFAL Submission to the SIGTYP 2020 Shared Task EMNLP 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Prediction Focused Topic Models via Feature Selection AISTATS 2020 Prediction of Head Motion from Speech Waveforms with a Canonical-Correlation-Constrained Autoencoder Interspeech 2020 Predictive coding in balanced neural networks with noise, chaos and delays NeurIPS 2020 Predictive Information Accelerates Learning in RL NeurIPS 2020 Preference-Based Image Generation WACV 2020 Preference Modeling with Context-Dependent Salient Features ICML 2020 Premise Selection in Natural Language Mathematical Texts ACL 2020 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020 Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders ACL 2020 Pretrained Language Model Embryology: The Birth of ALBERT EMNLP 2020 Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models EMNLP 2020 Primal-Dual Mesh Convolutional Neural Networks NeurIPS 2020 Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020 Probabilistic Learning on Graphs via Contextual Architectures JMLR 2020 Probability Weighted Compact Feature for Domain Adaptive Retrieval CVPR 2020 Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences AAAI 2020 Probing Emergent Semantics in Predictive Agents via Question Answering ICML 2020 Probing for Multilingual Numerical Understanding in Transformer-Based Language Models EMNLP 2020 Probing Linguistic Systematicity ACL 2020 Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case COLING 2020 Probing Neural Dialog Models for Conversational Understanding ACL 2020 Probing Task-Oriented Dialogue Representation from Language Models EMNLP 2020 Program Synthesis with Pragmatic Communication NeurIPS 2020