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 3801–3850 of 10580 papers

TitleStatusHype
Auxiliary task discovery through generate-and-test—0
Inductive-Biases for Contrastive Learning of Disentangled Representations—0
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners—0
CorrMAE: Pre-training Correspondence Transformers with Masked Autoencoder—0
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning—0
Generalized Category Discovery with Clustering Assignment Consistency—0
Improving Discriminative Visual Representation Learning via Automatic Mixup—0
Inter-Battery Topic Representation Learning—0
Embedded Representation Learning Network for Animating Styled Video Portrait—0
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game—0
CoLiDR: Concept Learning using Aggregated Disentangled Representations—0
Embed Any NeRF: Graph Meta-Networks for Neural Tasks on Arbitrary NeRF Architectures—0
A survey on knowledge-enhanced multimodal learning—0
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition—0
HJE: Joint Convolutional Representation Learning for Knowledge Hypergraph Completion—0
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space—0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation—0
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs—0
Generalizing Reinforcement Learning to Unseen Actions—0
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide—0
Generalizing to Unseen Domains: A Survey on Domain Generalization—0
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning—0
HLogformer: A Hierarchical Transformer for Representing Log Data—0
CoKe: Localized Contrastive Learning for Robust Keypoint Detection—0
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources—0
elBERto: Self-supervised Commonsense Learning for Question Answering—0
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer—0
Elastic Information Bottleneck—0
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning—0
A Survey on Graph Representation Learning Methods—0
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs—0
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models—0
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness—0
Generating Privacy-Preserving Process Data with Deep Generative Models—0
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning—0
Generating Videos with Scene Dynamics—0
Generative Adversarial Image Synthesis with Decision Tree Latent Controller—0
A Geometric Perspective on Optimal Representations for Reinforcement Learning—0
Eight challenges in developing theory of intelligence—0
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving—0
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes—0
Cognitive Representation Learning of Self-Media Online Article Quality—0
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective—0
Cognitive maps and schizophrenia—0
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction—0
Generative or Contrastive? Phrase Reconstruction for Better Sentence Representation Learning—0
HiH: A Multi-modal Hierarchy in Hierarchy Network for Unconstrained Gait Recognition—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