SOTAVerified

Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

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Showing 5651–5700 of 6661 papers

TitleStatusHype
Deep Unsupervised Learning for 3D ALS Point Cloud Change DetectionCode0
On the Value of Cross-Modal Misalignment in Multimodal Representation LearningCode0
A Language-based solution to enable Metaverse RetrievalCode0
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker ExtractionCode0
Negative-Free Self-Supervised Gaussian Embedding of GraphsCode0
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich LanguagesCode0
DeepRLI: A Multi-objective Framework for Universal Protein--Ligand Interaction PredictionCode0
Bayesian Negative Sampling for RecommendationCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Deep Learning for Forensic Identification of SourceCode0
Neighborhood Commonality-aware Evolution Network for Continuous Generalized Category DiscoveryCode0
Separating common from salient patterns with Contrastive Representation LearningCode0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person SearchCode0
Multi-task Pre-training Language Model for Semantic Network CompletionCode0
Low-confidence Samples Matter for Domain AdaptationCode0
LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual InputCode0
DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive FrameworkCode0
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description ExtractionCode0
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense RetrievalCode0
Deep Double Self-Expressive Subspace ClusteringCode0
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image SegmentationCode0
Local Aggregation for Unsupervised Learning of Visual EmbeddingsCode0
Link Prediction with Non-Contrastive LearningCode0
Line Graph Contrastive Learning for Link PredictionCode0
Lightweight Cross-Lingual Sentence Representation LearningCode0
Lexical Knowledge Internalization for Neural Dialog GenerationCode0
Neural-Guided Equation DiscoveryCode0
Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive LearningCode0
Deep Clustering with Diffused Sampling and Hardness-aware Self-distillationCode0
neuro2voc: Decoding Vocalizations from Neural ActivityCode0
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image ClassificationCode0
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term RetentionCode0
A Universal Framework for Compressing Embeddings in CTR PredictionCode0
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced RegressionCode0
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationCode0
Leveraging Graph Structures to Detect Hallucinations in Large Language ModelsCode0
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment AnalysisCode0
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target InteractionCode0
Unsupervised Cross-domain Pulmonary Nodule Detection without Source DataCode0
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled SamplesCode0
A Benchmark Study of Contrastive Learning for Arabic Social MeaningCode0
Decoupled conditional contrastive learning with variable metadata for prostate lesion detectionCode0
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive LearningCode0
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation ModelsCode0
Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification PerformanceCode0
Node-based Knowledge Graph Contrastive Learning for Medical Relationship PredictionCode0
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive LearningCode0
CLSEG: Contrastive Learning of Story Ending GenerationCode0
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All datasetsimagenet-1k10,000 People - Human Pose Recognition DataCIFAR-10STL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6—Unverified
2ResNet50ImageNet Top-1 Accuracy73—Unverified
3ResNet50ImageNet Top-1 Accuracy71.1—Unverified
4ResNet50ImageNet Top-1 Accuracy69.3—Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6—Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8—Unverified
7ResNet50ImageNet Top-1 Accuracy63.6—Unverified
8ResNet50ImageNet Top-1 Accuracy61.5—Unverified
9ResNet50ImageNet Top-1 Accuracy61.5—Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3—Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77—Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55—Unverified