Representation (politics)

Momentum Contrast for Unsupervised Visual Representation Learning

Deep Contextualized Word Representations

Enriching Word Vectors with Subword Information

Masked Autoencoders Are Scalable Vision Learners

Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Targeted Branching for the Maximum Independent Set Problem Using Graph Neural Networks

A simple framework for contrastive learning of visual representations

Enhancing Copolymer Property Prediction through the Weighted-Chained-SMILES Machine Learning Framework

Benchmarking Large Language Models for Polymer Property Predictions

Advances in graph neural networks for alloy design and properties predictions: a review

Predicting Materials Using Variational Autoencoders: A Systematic Literature Review