Representation Learning

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence ACL 2021 Pre-training Methods for Neural Machine Translation ACL 2021 Pretraining Representations for Data-Efficient Reinforcement Learning NeurIPS 2021 Primitive Representation Learning for Scene Text Recognition CVPR 2021 Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021 Principal Subspace Estimation Under Information Diffusion AISTATS 2021 Privately Learning Subspaces NeurIPS 2021 Probabilistic Embeddings for Cross-Modal Retrieval CVPR 2021 Probabilistic Generating Circuits ICML 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021 Probing Cross-Modal Representations in Multi-Step Relational Reasoning ACL 2021 Probing for idiomaticity in vector space models EACL 2021 Probing Pre-trained Language Models for Semantic Attributes and their Values EMNLP 2021 Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers NAACL 2021 Process-Level Representation of Scientific Protocols with Interactive Annotation EACL 2021 Product Manifold Learning AISTATS 2021 Profiling News Discourse Structure Using Explicit Subtopic Structures Guided Critics EMNLP 2021 ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations ICML 2021 Progressive Feature Interaction Search for Deep Sparse Network NeurIPS 2021 Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding EMNLP 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Proof Net Structure for Neural Lambek Categorial Parsing ACL 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NeurIPS 2021 Property Controllable Variational Autoencoder via Invertible Mutual Dependence ICLR 2021