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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

ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification ICCV 2021
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning ICCV 2021
Clustering by Maximizing Mutual Information Across Views ICCV 2021
MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021
Point-Set Distances for Learning Representations of 3D Point Clouds ICCV 2021
Align Voting Behavior with Public Statements for Legislator Representation Learning ACL 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment ACL 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution ACL 2021
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks ACL 2021
Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings ACL 2021
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021
Taxonomy Completion via Triplet Matching Network AAAI 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021
Contrastive Transformation for Self-supervised Correspondence Learning AAAI 2021
Distilling Localization for Self-Supervised Representation Learning AAAI 2021
Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation AAAI 2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021
Implicit Regularization via Neural Feature Alignment AISTATS 2021
Automated Concatenation of Embeddings for Structured Prediction ACL 2021
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021
Contrastive Multimodal Fusion With TupleInfoNCE ICCV 2021
Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts ICCV 2021
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning ICCV 2021