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 3201–3250 of 10580 papers

TitleStatusHype
Enhancing Transformer Backbone for Egocentric Video Action Segmentation—0
Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking—0
Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning—0
Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion—0
Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning—0
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics—0
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm—0
Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems—0
Enhancing 2D Representation Learning with a 3D Prior—0
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning—0
Automated Sleep Staging via Parallel Frequency-Cut Attention—0
Entangled Residual Mappings—0
A Causal Ordering Prior for Unsupervised Representation Learning—0
Enhancement-Driven Pretraining for Robust Fingerprint Representation Learning—0
Enhance Hyperbolic Representation Learning via Second-order Pooling—0
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning—0
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation—0
Entity Profiling in Knowledge Graphs—0
Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning—0
Environment Predictive Coding for Visual Navigation—0
Episodes Discovery Recommendation with Multi-Source Augmentations—0
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning—0
Enhanced then Progressive Fusion with View Graph for Multi-View Clustering—0
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks—0
Compositionally Equivariant Representation Learning—0
A Tale of Color Variants: Representation and Self-Supervised Learning in Fashion E-Commerce—0
Equivariant Hamiltonian Flows—0
An Equivariant Pretrained Transformer for Unified 3D Molecular Representation Learning—0
Equivariant Quantum Graph Circuits—0
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction—0
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning—0
Enhanced Multimodal Representation Learning with Cross-modal KD—0
Compositional Scene Representation Learning via Reconstruction: A Survey—0
Enhanced E-Commerce Attribute Extraction: Innovating with Decorative Relation Correction and LLAMA 2.0-Based Annotation—0
Enhanced Bilevel Optimization via Bregman Distance—0
English-Twi Parallel Corpus for Machine Translation—0
Composition of Sentence Embeddings:Lessons from Statistical Relational Learning—0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Learning Actionable World Models for Industrial Process Control—0
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models—0
Unsupervised Model Selection for Variational Disentangled Representation Learning—0
Error Analysis on Graph Laplacian Regularized Estimator—0
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation—0
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation—0
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning—0
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation—0
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Estimating Galactic Distances From Images Using Self-supervised Representation Learning—0
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs—0
Show:102550
← PrevPage 65 of 212Next →
All datasetsSciDocsAnimals-10CIFAR10Circle DataSports10

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