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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 801–850 of 6661 papers

TitleStatusHype
ContrastNet: A Contrastive Learning Framework for Few-Shot Text ClassificationCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-IdentificationCode1
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph CompletionCode1
Dual Contrastive Prediction for Incomplete Multi-view Representation LearningCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
A Self-supervised Method for Entity AlignmentCode1
CONVERT:Contrastive Graph Clustering with Reliable AugmentationCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Dual-level Adaptive Incongruity-enhanced Model for Multimodal Sarcasm DetectionCode1
Dual Contrastive Learning for Unsupervised Image-to-Image TranslationCode1
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive LearningCode1
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious CorrelationsCode1
Correspondence Matters for Video Referring Expression ComprehensionCode1
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive LearningCode1
Dual Contrastive Learning: Text Classification via Label-Aware Data AugmentationCode1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningCode1
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence EmbeddingsCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature EnhancementCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language AlignmentCode1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect DetectionCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
CL4CTR: A Contrastive Learning Framework for CTR PredictionCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
A Simple Contrastive Learning Objective for Alleviating Neural Text DegenerationCode1
A Broad Study on the Transferability of Visual Representations with Contrastive LearningCode1
A simple, efficient and scalable contrastive masked autoencoder for learning visual representationsCode1
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTsCode1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised RecognitionCode1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited AnnotationsCode1
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D UnderstandingCode1
A Simple Graph Contrastive Learning Framework for Short Text ClassificationCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
Cross-modal Causal Relation Alignment for Video Question GroundingCode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
Cross-Modal Contrastive Learning for Text-to-Image GenerationCode1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation ExtractionCode1
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural LanguageCode1
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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