representation learning

On Deep Unsupervised Active Learning IJCAI 2020 On Learning Language-Invariant Representations for Universal Machine Translation ICML 2020 On Mutual Information Maximization for Representation Learning ICLR 2020 On Numerosity of Deep Neural Networks NeurIPS 2020 On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020 On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification IJCAI 2020 On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers EMNLP 2020 On the Modularity of Hypernetworks NeurIPS 2020 On the Sub-layer Functionalities of Transformer Decoder EMNLP 2020 On the Theory of Transfer Learning: The Importance of Task Diversity NeurIPS 2020 Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020 Out-of-Sample Representation Learning for Knowledge Graphs EMNLP 2020 PADS: Policy-Adapted Sampling for Visual Similarity Learning CVPR 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NeurIPS 2020 Parsing as Pretraining AAAI 2020 Partially View-aligned Clustering NeurIPS 2020 PatchVAE: Learning Local Latent Codes for Recognition CVPR 2020 PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation COLING 2020 Phase Transitions for the Information Bottleneck in Representation Learning ICLR 2020 Plug and Play Autoencoders for Conditional Text Generation EMNLP 2020 PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention WACV 2020 PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition CVPR 2020 Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers CVPR 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Predictive Information Accelerates Learning in RL NeurIPS 2020