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

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Showing 7301–7350 of 10580 papers

TitleStatusHype
A representation-learning game for classes of prediction tasks—0
Poly-View Contrastive Learning—0
Learning disentangled representations with the Wasserstein Autoencoder—0
Learning disentangled representations with the Wasserstein Autoencoder—0
Causal Representation Learning with Observational Grouping for CXR Classification—0
Portrait Interpretation and a Benchmark—0
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization—0
Pose-Guided Photorealistic Face Rotation—0
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization—0
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification—0
Learning Disentangled Audio Representations through Controlled Synthesis—0
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning—0
Causal Representation Learning with Generative Artificial Intelligence: Application to Texts as Treatments—0
A Representation Learning Framework for Multi-Source Transfer Parsing—0
A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis—0
Possible principles for aligned structure learning agents—0
Contrastive Video Representation Learning via Adversarial Perturbations—0
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine—0
Learning Discriminative Representations for Semantic Cross Media Retrieval—0
PPKE: Knowledge Representation Learning by Path-based Pre-training—0
Learning Deep Similarity Models with Focus Ranking for Fabric Image Retrieval—0
Practical and Consistent Estimation of f-Divergences—0
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection—0
Learning Deep Representation Without Parameter Inference for Nonlinear Dimensionality Reduction—0
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering—0
Learning Deep Representations with Probabilistic Knowledge Transfer—0
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview—0
Causal Representation Learning from Multiple Distributions: A General Setting—0
Learning Deep Representation for Imbalanced Classification—0
Causal Representation Learning from Multimodal Biomedical Observations—0
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks—0
A representation learning approach to probe for dynamical dark energy in matter power spectra—0
AdvEst: Adversarial Perturbation Estimation to Classify and Detect Adversarial Attacks against Speaker Identification—0
Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification—0
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks—0
Causal Regularization—0
Learning Cross-lingual Visual Speech Representations—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
Learning Cross-Domain Representation with Multi-Graph Neural Network—0
DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing—0
Predicting S&P500 Index direction with Transfer Learning and a Causal Graph as main Input—0
Predicting the Co-Evolution of Event and Knowledge Graphs—0
Causal Reasoning Meets Visual Representation Learning: A Prospective Study—0
A Representation Learning Approach to Feature Drift Detection in Wireless Networks—0
Predicting What You Already Know Helps: Provable Self-Supervised Learning—0
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery—0
Learning Co-Speech Gesture Representations in Dialogue through Contrastive Learning: An Intrinsic Evaluation—0
Disentangling Singlish Discourse Particles with Task-Driven Representation—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
Disentangling Properties of Contrastive Methods—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