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 7451–7500 of 10580 papers

TitleStatusHype
Connecting Data to Mechanisms with Meta Structual Causal Model—0
Mutual Information Minimization Based Disentangled Learning Framework For Causal Effect Estimation—0
Mutual Information Estimation as a Difference of Entropies for Unsupervised Representation Learning—0
Time-aware Relational Graph Attention Network for Temporal Knowledge Graph Embeddings—0
ESCo: Towards Provably Effective and Scalable Contrastive Representation Learning—0
Environment Predictive Coding for Visual Navigation—0
A Transferable General-Purpose Predictor for Neural Architecture Search—0
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch—0
Multi-Domain Self-Supervised Learning—0
Surgical Prediction with Interpretable Latent Representation—0
Modeling label correlations implicitly through latent label encodings for multi-label text classification—0
Embedding Compression with Hashing for Efficient Representation Learning in Graph—0
Vi-MIX FOR SELF-SUPERVISED VIDEO REPRESENTATION—0
Mimicking Randomized Controlled Trials to Learn End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation—0
Metric Learning on Temporal Graphs via Few-Shot Examples—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing—0
Reconstruction for disentanglement, Contrast for invariance—0
A General Unified Graph Neural Network Framework Against Adversarial Attacks—0
WHAT TO DO IF SPARSE REPRESENTATION LEARNING FAILS UNEXPECTEDLY?—0
EBSD Grain Knowledge Graph Representation Learning for Material Structure-Property Prediction—0
Regularized Autoencoders for Isometric Representation Learning—0
Stability Regularization for Discrete Representation Learning—0
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics—0
Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling—0
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking—0
Domain-Invariant Representation Learning with Global and Local Consistency—0
SimMER: Simple Maximization of Entropy and Rank for Self-supervised Representation Learning—0
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning—0
LEARNING PHONEME-LEVEL DISCRETE SPEECH REPRESENTATION WITH WORD-LEVEL SUPERVISION—0
Towards simple time-to-event modeling: optimizing neural networks via rank regression—0
CDPS: Constrained DTW-Preserving Shapelets—0
Distributional Decision Transformer for Hindsight Information Matching—0
Learning Controllable Elements Oriented Representations for Reinforcement Learning—0
Disentangling Properties of Contrastive Methods—0
Learning Better Visual Representations for Weakly-Supervised Object Detection Using Natural Language Supervision—0
SpecTRA: Spectral Transformer for Graph Representation Learning—0
Can phones, syllables, and words emerge as side-products of cross-situational audiovisual learning? -- A computational investigationCode0
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series—0
Task Relatedness-Based Generalization Bounds for Meta Learning—0
Differentiable Expectation-Maximization for Set Representation Learning—0
Invariant Causal Representation Learning for Out-of-Distribution Generalization—0
Interrogating Paradigms in Self-supervised Graph Representation Learning—0
Spatiotemporal Representation Learning on Time Series with Dynamic Graph ODEs—0
Interest-based Item Representation Framework for Recommendation with Multi-Interests Capsule Network—0
Informative Robust Causal Representation for Generalizable Deep Learning—0
Information-Bottleneck-Based Behavior Representation Learning for Multi-agent Reinforcement learning—0
Information-Aware Time Series Meta-Contrastive Learning—0
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization—0
Inductive-Biases for Contrastive Learning of Disentangled Representations—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