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 7101–7150 of 10580 papers

TitleStatusHype
PPG-based singing voice conversion with adversarial representation learning—0
How Robust is Unsupervised Representation Learning to Distribution Shift?—0
How Powerful is Implicit Denoising in Graph Neural Networks—0
Parameter Efficient Multimodal Transformers for Video Representation Learning—0
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning—0
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition—0
Parameterization of Hypercomplex Multiplications—0
Parameterized context windows in Random Indexing—0
Parameterized Explanations for Investor / Company Matching—0
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure—0
Position-based Hash Embeddings For Scaling Graph Neural Networks—0
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network—0
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference—0
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs—0
Deep Graph Learning for Anomalous Citation Detection—0
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning—0
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images—0
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects—0
Position: Topological Deep Learning is the New Frontier for Relational Learning—0
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition—0
How Fine-Tuning Allows for Effective Meta-Learning—0
Deep Graph Generators: A Survey—0
How Do Multilingual Encoders Learn Cross-lingual Representation?—0
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?—0
Pose Attention-Guided Profile-to-Frontal Face Recognition—0
Partially latent factors based multi-view subspace learning—0
Breaking through the learning plateaus of in-context learning in Transformer—0
How Do the Architecture and Optimizer Affect Representation Learning? On the Training Dynamics of Representations in Deep Neural Networks—0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
Partners in Crime: Multi-view Sequential Inference for Movie Understanding—0
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization—0
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph—0
How Diffusion Models Learn to Factorize and Compose—0
PatchFormer: A neural architecture for self-supervised representation learning on images—0
3D Shape Classification Using Collaborative Representation based Projections—0
Pose-Guided Photorealistic Face Rotation—0
Position Paper on Materials Design -- A Modern Approach—0
PPKE: Knowledge Representation Learning by Path-based Pre-training—0
How Benign is Benign Overfitting ?—0
Patchwise Sparse Dictionary Learning from pre-trained Neural Network Activation Maps for Anomaly Detection in Images—0
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors—0
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation—0
Few-Shot Learning via Learning the Representation, Provably—0
Contrastive learning, multi-view redundancy, and linear models—0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions—0
How benign is benign overfitting?—0
BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights—0
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning—0
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers—0
Show:102550
← PrevPage 143 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