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

Showing 66016650 of 10580 papers

TitleStatusHype
On Efficient Retrieval of Top Similarity Vectors0
Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding0
Exemplar Learning for Medical Image Segmentation0
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis0
Hyperdimensional Representation Learning for Node Classification and Link Prediction0
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers0
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning0
Deep Multiple Instance Learning with Gaussian Weighting0
One4all User Representation for Recommender Systems in E-commerce0
Mutual Information Estimation as a Difference of Entropies for Unsupervised Representation Learning0
Deep Multimodal Representation Learning from Temporal Data0
Mutual Information Minimization Based Disentangled Learning Framework For Causal Effect Estimation0
One at a Time: Progressive Multi-step Volumetric Probability Learning for Reliable 3D Scene Perception0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images0
I^2MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation0
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region0
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning0
On-Device Constrained Self-Supervised Speech Representation Learning for Keyword Spotting via Knowledge Distillation0
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning0
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis0
MxPool: Multiplex Pooling for Hierarchical Graph Representation Learning0
One-Class SVM on siamese neural network latent space for Unsupervised Anomaly Detection on brain MRI White Matter Hyperintensities0
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space0
Deep Multilingual Correlation for Improved Word Embeddings0
Named Entity Recognition through Deep Representation Learning and Weak Supervision0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading0
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation0
Deep Multi-attribute Graph Representation Learning on Protein Structures0
Repurposing Foundation Model for Generalizable Medical Time Series Classification0
ExpertNet: A Symbiosis of Classification and Clustering0
Naturalistic Robot Arm Trajectory Generation via Representation Learning0
Natural Language Inference with Definition Embedding Considering Context On the Fly0
Natural Language Supervision for Low-light Image Enhancement0
Navigating the Dynamics of Financial Embeddings over Time0
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning0
Connecting Multi-modal Contrastive Representations0
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments0
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs0
Explainable Recommender Systems via Resolving Learning Representations0
Nearest Neighbor Search Under Uncertainty0
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification0
Near-optimal Representation Learning for Linear Bandits and Linear RL0
NECA: Network-Embedded Deep Representation Learning for Categorical Data0
Deep Molecular Representation Learning via Fusing Physical and Chemical Information0
Connecting Supervised and Unsupervised Sentence Embeddings0
Deep Modularity Networks with Diversity--Preserving Regularization0
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification0
Negative Sampling for Contrastive Representation Learning: A Review0
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SciNCLAvg.81.8Unverified
2SPECTERAvg.80Unverified
3CiteomaticAvg.76Unverified
4Sci-DeCLUTRAvg.66.6Unverified
5SciBERTAvg.59.6Unverified
6BioBERTAvg.58.8Unverified
7CiteBERTAvg.58.8Unverified
#ModelMetricClaimedVerifiedStatus
1top_model_weights_with_3d_21:1 Accuracy0.75Unverified
#ModelMetricClaimedVerifiedStatus
1Resnet 18Accuracy (%)97.05Unverified
#ModelMetricClaimedVerifiedStatus
1Morphological NetworkAccuracy97.3Unverified
#ModelMetricClaimedVerifiedStatus
1Max Margin ContrastiveSilhouette Score0.56Unverified