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 551–600 of 6661 papers

TitleStatusHype
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D DatasetsCode1
CLEFT: Language-Image Contrastive Learning with Efficient Large Language Model and Prompt Fine-TuningCode1
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truthCode1
Reinforcement Learning Friendly Vision-Language Model for MinecraftCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
CURL: Contrastive Unsupervised Representation Learning for Reinforcement LearningCode1
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport DistillationCode1
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial RobustnessCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image AnalysisCode1
Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic ImagesCode1
Self-Supervised Time Series Representation Learning via Cross Reconstruction TransformerCode1
Anatomical Foundation Models for Brain MRIsCode1
Cross-Modal Contrastive Learning for Text-to-Image GenerationCode1
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental ConditionsCode1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTsCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
Cross-Modal Information-Guided Network using Contrastive Learning for Point Cloud RegistrationCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
CL4CTR: A Contrastive Learning Framework for CTR PredictionCode1
Cross-modal Causal Relation Alignment for Video Question GroundingCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative AdversariesCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
AD-CLIP: Adapting Domains in Prompt Space Using CLIPCode1
Cross-Domain Sentiment Classification with In-Domain Contrastive LearningCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information MaximizationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Cross-modal Contrastive Learning for Speech TranslationCode1
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IANCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image PairsCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule DiagnosisCode1
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked AutoencodersCode1
CETN: Contrast-enhanced Through Network for CTR PredictionCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
Counterfactual contrastive learning: robust representations via causal image synthesisCode1
Adaptive Soft Contrastive LearningCode1
CP2: Copy-Paste Contrastive Pretraining for Semantic SegmentationCode1
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language AlignmentCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging DataCode1
Change-Aware Sampling and Contrastive Learning for Satellite ImagesCode1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-ThoughtCode1
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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