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 6201–6250 of 6661 papers

TitleStatusHype
GeomCA: Geometric Evaluation of Data RepresentationsCode0
GeoContrastNet: Contrastive Key-Value Edge Learning for Language-Agnostic Document UnderstandingCode0
GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsCode0
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly DetectionCode0
Style2Code: A Style-Controllable Code Generation Framework with Dual-Modal Contrastive Representation LearningCode0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
Generative-Contrastive Heterogeneous Graph Neural NetworkCode0
Contrastive Learning for API Aspect AnalysisCode0
Generalizing Conversational Dense Retrieval via LLM-Cognition Data AugmentationCode0
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive LearningCode0
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive LearningCode0
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data LimitationsCode0
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly DetectionCode0
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel ContrastCode0
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language DebiasingCode0
Contrastive variational information bottleneck for aspect-based sentiment analysisCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identificationCode0
Contrastive Learning enhanced Author-Style Headline GenerationCode0
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT RegistrationCode0
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-TuningCode0
Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive LearningCode0
General Feature Extraction In SAR Target Classification: A Contrastive Learning Approach Across Sensor TypesCode0
GenEOL: Harnessing the Generative Power of LLMs for Training-Free Sentence EmbeddingsCode0
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation LearningCode0
Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive LearningCode0
RegExplainer: Generating Explanations for Graph Neural Networks in Regression TasksCode0
Fuzzy Cluster-Aware Contrastive Clustering for Time SeriesCode0
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
Future Sight and Tough Fights: Revolutionizing Sequential Recommendation with FENRecCode0
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New TaskCode0
SimCLF: A Simple Contrastive Learning Framework for Function-level Binary EmbeddingsCode0
Region Embedding with Intra and Inter-View Contrastive LearningCode0
Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action LocalizationCode0
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative WordsCode0
Symmetric Graph Contrastive Learning against Noisy Views for RecommendationCode0
Contrastive Learning-Based privacy metrics in Tabular Synthetic DatasetsCode0
An Investigation of Representation and Allocation Harms in Contrastive LearningCode0
Combating the Instability of Mutual Information-based Losses via RegularizationCode0
CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell SegmentationCode0
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRsCode0
Caption Feature Space Regularization for Audio CaptioningCode0
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion RetrievalCode0
Relational Contrastive Learning and Masked Image Modeling for Scene Text RecognitionCode0
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained VideosCode0
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark DiscoveryCode0
Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic GraphCode0
Relational Self-supervised Distillation with Compact Descriptors for Image Copy DetectionCode0
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering RecommendationCode0
Contrastive learning-based computational histopathology predict differential expression of cancer driver genesCode0
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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