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representation learning

6174 papers

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Also known as

WAV2VEC2.0 RL NRMS NDFS

Co-occurring keywords

contrastive learning (3979) self-supervised learning (3751) transfer learning (5442) neural network (6616) unsupervised learning (3255) graph neural network (3945) multimodal learning (4622) domain adaptation (4578) feature learning (1309) language model (4573)

Papers

A Learned Representation for Scalable Vector Graphics ICCV 2019
Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019
ABD-Net: Attentive but Diverse Person Re-Identification ICCV 2019
Unsupervised Basis Function Adaptation for Reinforcement Learning JMLR 2019
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference ACL 2019
Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019
Learning and Data Selection in Big Datasets ICML 2019
BAE-NET: Branched Autoencoder for Shape Co-Segmentation ICCV 2019
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation IJCAI 2019
Learning Similarity Conditions Without Explicit Supervision ICCV 2019
Deep Learning for Video Captioning: A Review IJCAI 2019
Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019
Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019
How do infinite width bounded norm networks look in function space? COLT 2019
On the Merits of Joint Space and Orientation Representations in Learning the Forward Kinematics in SE(3) RSS 2019
DDL: Deep Dictionary Learning for Predictive Phenotyping IJCAI 2019
Arabic Named Entity Recognition: What Works and What’s Next ACL 2019
A Survey of Reinforcement Learning Informed by Natural Language IJCAI 2019
MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding ACL 2019
Robust Representation Learning of Biomedical Names ACL 2019
Neural GRANNy at SemEval-2019 Task 2: A combined approach for better modeling of semantic relationships in semantic frame induction SEMEVAL 2019
Orderly Subspace Clustering AAAI 2019
Variational Autoencoders Pursue PCA Directions (by Accident) CVPR 2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts ACL 2019
What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019