← Learning Types
Machine Learning › Learning Types ›

Representation Learning

2843 directly classified papers

Papers per year

Papers

A phonetic model of non-native spoken word processing EACL 2021
Debiasing Pre-trained Contextualised Embeddings EACL 2021
Semantics Disentangling for Generalized Zero-Shot Learning ICCV 2021
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection IJCAI 2021
Mining Contextual Information Beyond Image for Semantic Segmentation ICCV 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples ICCV 2021
Multi-facet Universal Schema EACL 2021
DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting EACL 2021
Self-supervised Graph-level Representation Learning with Local and Global Structure ICML 2021
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021
Homogeneous Architecture Augmentation for Neural Predictor ICCV 2021
Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning ICCV 2021
Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021
Self-Mutual Distillation Learning for Continuous Sign Language Recognition ICCV 2021
Distributional Robustness Loss for Long-Tail Learning ICCV 2021
Semantic Concentration for Domain Adaptation ICCV 2021
Scaling-Up Disentanglement for Image Translation ICCV 2021
Representation Learning via Global Temporal Alignment and Cycle-Consistency CVPR 2021
View Generalization for Single Image Textured 3D Models CVPR 2021
Diverse Semantic Image Synthesis via Probability Distribution Modeling CVPR 2021
Differentiable Patch Selection for Image Recognition CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification NAACL 2021