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 4601–4650 of 10580 papers

TitleStatusHype
Knowledge-Based Biomedical Word Sense Disambiguation with Neural Concept Embeddings—0
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning—0
A Refined Margin Distribution Analysis for Forest Representation Learning—0
Causal Estimation for Text Data with (Apparent) Overlap Violations—0
A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion—0
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness—0
Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization?—0
Disentangled Speech Representation Learning for One-Shot Cross-lingual Voice Conversion Using β-VAE—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Causal Effect Estimation under Networked Interference without Networked Unconfoundedness Assumption—0
A bi-diffusion based layer-wise sampling method for deep learning in large graphs—0
Disentangled Speaker Representation Learning via Mutual Information Minimization—0
Disentangled Representation with Dual-stage Feature Learning for Face Anti-spoofing—0
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities—0
Disentangled Representation with Causal Constraints for Counterfactual Fairness—0
Causal disentanglement of multimodal data—0
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise—0
Adversarial Stacked Auto-Encoders for Fair Representation Learning—0
Disentangled Representations in Neural Models—0
Disentangled Representation Learning with Transmitted Information Bottleneck—0
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs—0
Disentangled Representation Learning with Wasserstein Total Correlation—0
Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning—0
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification—0
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning—0
Knowledge distillation via softmax regression representation learning—0
Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science—0
Disentangled Representation Learning with Sequential Residual Variational Autoencoder—0
Disentangled Representation Learning with Information Maximizing Autoencoder—0
Disentangled Representation Learning Using (β-)VAE and GAN—0
Disentangled Representation Learning with the Gromov-Monge Gap—0
Causal Climate Emulation with Bayesian Filtering—0
Knowledge-aware Complementary Product Representation Learning—0
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition—0
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention—0
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning—0
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning—0
Disentangled Representation Learning for Causal Inference with Instruments—0
Disentangled Representation Learning for Parametric Partial Differential Equations—0
Category-Level Multi-Part Multi-Joint 3D Shape Assembly—0
Disentangled Representation Learning for Controllable Person Image Generation—0
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks—0
KGNN: Distributed Framework for Graph Neural Knowledge Representation—0
Disentangled Representation Learning for Unsupervised Neural Quantization—0
Disentangled representation learning for multilingual speaker recognition—0
Disentangled Representation Learning and Generation with Manifold Optimization—0
Category Enhanced Word Embedding—0
LEGO: Self-Supervised Representation Learning for Scene Text Images—0
Show:102550
← PrevPage 93 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