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 6551–6600 of 10580 papers

TitleStatusHype
TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation LearningCode0
Transferable Graph Backdoor Attack—0
Bi-Calibration Networks for Weakly-Supervised Video Representation LearningCode0
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi MeasuresCode0
Understanding Robust Learning through the Lens of Representation SimilaritiesCode0
Dual Representation Learning for Out-of-Distribution DetectionCode0
Secure Embedding Aggregation for Federated Representation Learning—0
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential GamesCode0
Self-Supervised Learning for Videos: A SurveyCode0
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking—0
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation LearningCode0
Large-Margin Representation Learning for Texture Classification—0
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning—0
How Robust is Unsupervised Representation Learning to Distribution Shift?—0
Switchable Representation Learning Framework with Self-compatibility—0
Domain Generalization via Selective Consistency Regularization for Time Series Classification—0
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology—0
A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition—0
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective—0
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning—0
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation LearningCode0
Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar—0
Contrastive Learning as Goal-Conditioned Reinforcement Learning—0
Masked Siamese ConvNets—0
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble SolutionCode0
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis—0
Object Scene Representation Transformer—0
Learning Behavior Representations Through Multi-Timescale Bootstrapping—0
Virtual embeddings and self-consistency for self-supervised learning—0
Compositional Mixture Representations for Vision and Text—0
Provable Benefit of Multitask Representation Learning in Reinforcement Learning—0
Local Distance Preserving Auto-encoders using Continuous k-Nearest Neighbours Graphs—0
Self-Supervised Representation Learning With MUlti-Segmental Informational Coding (MUSIC)—0
AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields—0
High-Dimensional Bayesian Optimization with Constraints: Application to Powder Weighing—0
Transformer-based Self-Supervised Fish Segmentation in Underwater Videos—0
Learning the Space of Deep ModelsCode0
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition—0
Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022Code0
TriBYOL: Triplet BYOL for Self-Supervised Representation Learning—0
Extending Momentum Contrast with Cross Similarity Consistency Regularization—0
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval—0
ObPose: Leveraging Pose for Object-Centric Scene Inference and Generation in 3D—0
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning—0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding—0
Decoupled Self-supervised Learning for Non-Homophilous Graphs—0
Unsupervised TTS Acoustic Modeling for TTS with Conditional Disentangled Sequential VAE—0
Learning with Capsules: A Survey—0
Mixed Graph Contrastive Network for Semi-Supervised Node Classification—0
Show:102550
← PrevPage 132 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