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conftrace_

representation learning

6,926 papers

RL

Papers

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders ACL 2020 Pre-training Entity Relation Encoder with Intra-span and Inter-span Information EMNLP 2020 Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information EMNLP 2020 Pre-Training Transformers as Energy-Based Cloze Models EMNLP 2020 Probing Emergent Semantics in Predictive Agents via Question Answering ICML 2020 Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction ACL 2020 Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case COLING 2020 Probing Neural Dialog Models for Conversational Understanding ACL 2020 Probing Pretrained Language Models for Lexical Semantics EMNLP 2020 Probing Task-Oriented Dialogue Representation from Language Models EMNLP 2020 Provable Representation Learning for Imitation Learning via Bi-level Optimization ICML 2020 Proxy Anchor Loss for Deep Metric Learning CVPR 2020 Pseudo-Bidirectional Decoding for Local Sequence Transduction EMNLP 2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision EMNLP 2020 Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning NeurIPS 2020 Quantifying the Contextualization of Word Representations with Semantic Class Probing EMNLP 2020 Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space AISTATS 2020 Quaternion Product Units for Deep Learning on 3D Rotation Groups CVPR 2020 Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures ICML 2020 RankMI: A Mutual Information Maximizing Ranking Loss CVPR 2020 RD$^2$: Reward Decomposition with Representation Decomposition NeurIPS 2020 Real-World Person Re-Identification via Degradation Invariance Learning CVPR 2020 Reflection-based Word Attribute Transfer ACL 2020 Region Pooling with Adaptive Feature Fusion for End-to-End Person Recognition WACV 2020 Regularized linear autoencoders recover the principal components, eventually NeurIPS 2020