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 9701–9750 of 10580 papers

TitleStatusHype
Enhancing Path Planning Performance through Image Representation Learning of High-Dimensional Configuration Spaces—0
Activation Map Adaptation for Effective Knowledge Distillation—0
Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation—0
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning—0
CoCoSoDa: Effective Contrastive Learning for Code Search—0
Enhancing Table Representations with LLM-powered Synthetic Data Generation—0
Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning—0
Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques—0
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement—0
Enhancing Transformer Backbone for Egocentric Video Action Segmentation—0
ProS: Facial Omni-Representation Learning via Prototype-based Self-Distillation—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
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems—0
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision—0
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning—0
EnSiam: Self-Supervised Learning With Ensemble Representations—0
Entangled Residual Mappings—0
Prosodic Representation Learning and Contextual Sampling for Neural Text-to-Speech—0
Protecting gender and identity with disentangled speech representations—0
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction—0
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation—0
Entity Profiling in Knowledge Graphs—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
Protein-ligand binding representation learning from fine-grained interactions—0
Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship—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
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees—0
Self-supervised Learning and Graph Classification under Heterophily—0
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection—0
Protein Representation Learning with Sequence Information Embedding: Does it Always Lead to a Better Performance?—0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Action-Sufficient State Representation Learning for Control with Structural Constraints—0
Action Image Representation: Learning Scalable Deep Grasping Policies with Zero Real World Data—0
Error Analysis on Graph Laplacian Regularized Estimator—0
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs—0
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation—0
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation—0
ESCo: Towards Provably Effective and Scalable Contrastive Representation Learning—0
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning—0
Estimating Galactic Distances From Images Using Self-supervised Representation Learning—0
Show:102550
← PrevPage 195 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