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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3101–3150 of 6661 papers

TitleStatusHype
FMiFood: Multi-modal Contrastive Learning for Food Image Classification—0
Reliable Node Similarity Matrix Guided Contrastive Graph ClusteringCode0
AI Foundation Models in Remote Sensing: A Survey—0
Contrastive Learning for Image Complexity Representation—0
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification—0
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced RecommendationCode0
Feedback Reciprocal Graph Collaborative Filtering—0
StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement—0
Contrastive Learning and Abstract Concepts: The Case of Natural Numbers—0
A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders—0
A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction—0
ConDL: Detector-Free Dense Image Matching—0
Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion ModelsCode0
Contrastive Learning-based Chaining-Cluster for Multilingual Voice-Face AssociationCode0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples—0
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution GeneralizationCode0
Symmetric Graph Contrastive Learning against Noisy Views for RecommendationCode0
Regularized Contrastive Partial Multi-view Outlier Detection—0
Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations—0
Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps—0
Multimodal Fusion and Coherence Modeling for Video Topic Segmentation—0
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck—0
DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation—0
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment—0
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning—0
SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting—0
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks—0
Harvesting Textual and Structured Data from the HAL Publication Repository—0
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks—0
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation—0
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks—0
Fusion Self-supervised Learning for Recommendation—0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
Hashing based Contrastive Learning for Virtual Screening—0
Boosting Graph Foundation Model from Structural Perspective—0
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number—0
Contextuality Helps Representation Learning for Generalized Category DiscoveryCode0
Domain Adaptive Lung Nodule Detection in X-ray Image—0
ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention UnderstandingCode0
Start from Video-Music Retrieval: An Inter-Intra Modal Loss for Cross Modal Retrieval—0
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text SpottingCode0
MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-TrainingCode0
Multi-Modal CLIP-Informed Protein Editing—0
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation—0
Text-Region Matching for Multi-Label Image Recognition with Missing LabelsCode0
DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes—0
UniForensics: Face Forgery Detection via General Facial Representation—0
Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces—0
Shapley Value-based Contrastive Alignment for Multimodal Information Extraction—0
Show:102550
← PrevPage 63 of 134Next →
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