representation learning

Unsupervised Learning of Dense Visual Representations NeurIPS 2020 Unsupervised Methods for Evaluating Speech Representations Interspeech 2020 Unsupervised Model Selection for Variational Disentangled Representation Learning ICLR 2020 Unsupervised Representation Learning by Invariance Propagation NeurIPS 2020 Unsupervised Representation Learning for Gaze Estimation CVPR 2020 Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning NeurIPS 2020 Unsupervised Subword Modeling Using Autoregressive Pretraining and Cross-Lingual Phone-Aware Modeling Interspeech 2020 Unsupervised vs. Transfer Learning for Multimodal One-Shot Matching of Speech and Images Interspeech 2020 Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding AAAI 2020 Value-driven Hindsight Modelling NeurIPS 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020 Vec2Sent: Probing Sentence Embeddings with Natural Language Generation COLING 2020 Vector-Quantized Autoregressive Predictive Coding Interspeech 2020 ViBE: Dressing for Diverse Body Shapes CVPR 2020 Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020 Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020 Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment EMNLP 2020 wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations NeurIPS 2020 Weakly Supervised Disentanglement by Pairwise Similarities AAAI 2020 Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media EMNLP 2020 Webly Supervised Knowledge Embedding Model for Visual Reasoning CVPR 2020 Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis COLING 2020 What are the Goals of Distributional Semantics? ACL 2020 What Does an End-to-End Dialect Identification Model Learn About Non-Dialectal Information? Interspeech 2020 What Do Neural Networks Learn When Trained With Random Labels? NeurIPS 2020