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 7201–7250 of 10580 papers

TitleStatusHype
AE2-Nets: Autoencoder in Autoencoder Networks—0
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
Distributional Decision Transformer for Hindsight Information Matching—0
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system—0
Learning From Graph-Structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning—0
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning—0
Learning for Counterfactual Fairness from Observational Data—0
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing—0
Learning Flexible Visual Representations via Interactive Gameplay—0
Learning First-Order Symbolic Representations for Planning from the Structure of the State Space—0
Distributed Variational Representation Learning—0
Learning finite-dimensional coding schemes with nonlinear reconstruction maps—0
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning—0
Decentralized Unsupervised Learning of Visual Representations—0
CCFace: Classification Consistency for Low-Resolution Face Recognition—0
Distributed Representations of Geographically Situated Language—0
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP—0
Distributed Representations for Compositional Semantics—0
CBOWRA: A Representation Learning Approach for Medication Anomaly Detection—0
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations—0
Learning Emotion-enriched Word Representations—0
Distributed representation of patients and its use for medical cost prediction—0
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos—0
Pipeline-Invariant Representation Learning for Neuroimaging—0
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale—0
PiRL: Participant-Invariant Representation Learning for Healthcare—0
A Review of Knowledge Graph Completion—0
A Dynamic Network and Representation LearningApproach for Quantifying Economic Growth fromSatellite Imagery—0
Abnormality-Driven Representation Learning for Radiology Imaging—0
Pivot Based Language Modeling for Improved Neural Domain Adaptation—0
Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning—0
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery—0
Distributed Decision Trees—0
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis—0
Learning ECG Signal Features Without Backpropagation Using Linear Laws—0
A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection—0
Distortion-Disentangled Contrastive Learning—0
DisTop: Discovering a Topological representation to learn diverse and rewarding skills—0
Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning—0
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation—0
Learning Dynamic Hierarchical Models for Anytime Scene Labeling—0
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations—0
Playful Interactions for Representation Learning—0
Learning Dynamic Embeddings from Temporal Interactions—0
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining—0
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning—0
Distinctive Feature Codec: Adaptive Segmentation for Efficient Speech Representation—0
Learning-driven Zero Trust in Distributed Computing Continuum Systems—0
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts—0
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition—0
Show:102550
← PrevPage 145 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