SOTAVerified

Representation Learning

Representation Learning is a process in machine learning where algorithms extract meaningful patterns from raw data to create representations that are easier to understand and process. These representations can be designed for interpretability, reveal hidden features, or be used for transfer learning. They are valuable across many fundamental machine learning tasks like image classification and retrieval.

Deep neural networks can be considered representation learning models that typically encode information which is projected into a different subspace. These representations are then usually passed on to a linear classifier to, for instance, train a classifier.

Representation learning can be divided into:

  • Supervised representation learning: learning representations on task A using annotated data and used to solve task B
  • Unsupervised representation learning: learning representations on a task in an unsupervised way (label-free data). These are then used to address downstream tasks and reducing the need for annotated data when learning news tasks. Powerful models like GPT and BERT leverage unsupervised representation learning to tackle language tasks.

More recently, self-supervised learning (SSL) is one of the main drivers behind unsupervised representation learning in fields like computer vision and NLP.

Here are some additional readings to go deeper on the task:

( Image credit: Visualizing and Understanding Convolutional Networks )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7551–7600 of 10580 papers

TitleStatusHype
Relation Modeling and Distillation for Learning with Noisy Labels—0
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models—0
QK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity—0
Gene finding revisited: improved robustness through structured decoding from learned embeddings—0
Deep Clustering by Semantic Contrastive Learning—0
Deep Clustering and Representation Learning that Preserves Geometric Structures—0
Hierarchically Robust Representation Learning—0
Quality-Aware Prototype Memory for Face Representation Learning—0
Advances of Deep Learning in Protein Science: A Comprehensive Survey—0
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training—0
Relation-Oriented: Toward Causal Knowledge-Aligned AGI—0
Quantifying Error in the Presence of Confounders for Causal Inference—0
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning—0
Core-Periphery Principle Guided State Space Model for Functional Connectome Classification—0
Quantum Architecture Search with Unsupervised Representation Learning—0
General Item Representation Learning for Cold-start Content Recommendations—0
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning—0
Quaternion Collaborative Filtering for Recommendation—0
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks—0
Auto-weighted low-rank representation for clustering—0
Hierarchically Clustered Representation Learning—0
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation—0
Bidirectional Hierarchical Protein Multi-Modal Representation Learning—0
Representation Learning for Dynamic Graphs: A Survey—0
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation—0
DeepCell: Multiview Representation Learning for Post-Mapping Netlists—0
QUINT: Node embedding using network hashing—0
q-VAE for Disentangled Representation Learning and Latent Dynamical Systems—0
Radar Camera Fusion via Representation Learning in Autonomous Driving—0
Correlated Attention in Transformers for Multivariate Time Series—0
An empirical investigation of neural methods for content scoring of science explanations—0
Relational Representation Learning in Visually-Rich Documents—0
MDL-Pool: Adaptive Multilevel Graph Pooling Based on Minimum Description Length—0
Deep causal representation learning for unsupervised domain adaptation—0
Random Copolymer inverse design system orienting on Accurate discovering of Antimicrobial peptide-mimetic copolymers—0
Generalization Analysis for Contrastive Representation Learning—0
Random Field Augmentations for Self-Supervised Representation Learning—0
Random Forest Autoencoders for Guided Representation Learning—0
Hierarchical Disentangle Network for Object Representation Learning—0
Random vector functional link neural network based ensemble deep learning for short-term load forecasting—0
Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Check—0
Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing—0
Hierarchical disentangled representation learning for singing voice conversion—0
Hierarchical discriminative learning improves visual representations of biomedical microscopy—0
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition—0
An efficient supervised dictionary learning method for audio signal recognition—0
Advances in Protein Representation Learning: Methods, Applications, and Future Directions—0
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology—0
Relational Graph Representation Learning for Open-Domain Question Answering—0
Hierarchical Correlation Clustering and Tree Preserving Embedding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SciNCLAvg.81.8—Unverified
2SPECTERAvg.80—Unverified
3CiteomaticAvg.76—Unverified
4Sci-DeCLUTRAvg.66.6—Unverified
5SciBERTAvg.59.6—Unverified
6BioBERTAvg.58.8—Unverified
7CiteBERTAvg.58.8—Unverified
#ModelMetricClaimedVerifiedStatus
1top_model_weights_with_3d_21:1 Accuracy0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet 18Accuracy (%)97.05—Unverified
#ModelMetricClaimedVerifiedStatus
1Morphological NetworkAccuracy97.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Max Margin ContrastiveSilhouette Score0.56—Unverified