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 6601–6650 of 10580 papers

TitleStatusHype
CDPS: Constrained DTW-Preserving Shapelets—0
Residual Contrastive Learning: Unsupervised Representation Learning from Residuals—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms—0
Personalized PageRank meets Graph Attention Networks—0
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series—0
Differentiable Expectation-Maximization for Set Representation Learning—0
Interest-based Item Representation Framework for Recommendation with Multi-Interests Capsule Network—0
An object-centric sensitivity analysis of deep learning based instance segmentation—0
One Stage Autoencoders for Multi-Domain Learning—0
Towards simple time-to-event modeling: optimizing neural networks via rank regression—0
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder—0
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images—0
Surgical Prediction with Interpretable Latent Representation—0
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation LearningCode1
A Variance Reduction Method for Neural-based Divergence Estimation—0
G^3: Representation Learning and Generation for Geometric Graphs—0
Fine-grained Software Vulnerability Detection via Information Theory and Contrastive Learning—0
Contrastive Label Disambiguation for Partial Label LearningCode1
Value-aware transformers for 1.5d data—0
Federated Contrastive Representation Learning with Feature Fusion and Neighborhood Matching—0
A Transferable General-Purpose Predictor for Neural Architecture Search—0
Scalable Hierarchical Embeddings of Complex Networks—0
Multi-Domain Self-Supervised Learning—0
Mimicking Randomized Controlled Trials to Learn End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation—0
On the interventional consistency of autoencoders—0
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking—0
LEARNING PHONEME-LEVEL DISCRETE SPEECH REPRESENTATION WITH WORD-LEVEL SUPERVISION—0
Spatio-temporal Disentangled representation learning for mobility prediction—0
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision—0
Regularized Autoencoders for Isometric Representation Learning—0
Spatiotemporal Representation Learning on Time Series with Dynamic Graph ODEs—0
Informative Robust Causal Representation for Generalizable Deep Learning—0
Information-Aware Time Series Meta-Contrastive Learning—0
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension—0
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention—0
SimMER: Simple Maximization of Entropy and Rank for Self-supervised Representation Learning—0
A Deep Latent Space Model for Directed Graph Representation Learning—0
Offline Pre-trained Multi-Agent Decision Transformer—0
Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture GenerationCode1
Shaping latent representations using Self-Organizing Maps with Relevance Learning—0
FP-DETR: Detection Transformer Advanced by Fully Pre-training—0
FEATURE-AUGMENTED HYPERGRAPH NEURAL NETWORKS—0
Context-invariant, multi-variate time series representations—0
SynCLR: A Synthesis Framework for Contrastive Learning of out-of-domain Speech Representations—0
ESCo: Towards Provably Effective and Scalable Contrastive Representation Learning—0
Environment Predictive Coding for Visual Navigation—0
Modeling label correlations implicitly through latent label encodings for multi-label text classification—0
Metric Learning on Temporal Graphs via Few-Shot Examples—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—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