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 451–500 of 6661 papers

TitleStatusHype
Contrastive Collaborative Filtering for Cold-Start Item RecommendationCode1
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
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted InstancesCode1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
Towards Cross-Table Masked Pretraining for Web Data MiningCode1
CURL: Contrastive Unsupervised Representation Learning for Reinforcement LearningCode1
CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive LearningCode1
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance AnnotationCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
Data Augmenting Contrastive Learning of Speech Representations in the Time DomainCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and GraphsCode1
AIRCHITECT v2: Learning the Hardware Accelerator Design Space through Unified RepresentationsCode1
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing ModalitiesCode1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical ContrastCode1
Debiased Contrastive Learning for Sequential RecommendationCode1
BECLR: Batch Enhanced Contrastive Few-Shot LearningCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation DistillationCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
A Language Model based Framework for New Concept Placement in OntologiesCode1
Decoupled Contrastive LearningCode1
Contrastive Learning for Cold-Start RecommendationCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable DiffusionCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet ExtractionCode1
CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at ScaleCode1
Deep Multiview Clustering by Contrasting Cluster AssignmentsCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space ViewpointCode1
Audio Retrieval with WavText5K and CLAP TrainingCode1
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-SeriesCode1
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Audio-Visual Instance Discrimination with Cross-Modal AgreementCode1
Audio-Visual Person-of-Interest DeepFake DetectionCode1
Density-invariant Features for Distant Point Cloud RegistrationCode1
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationCode1
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited ModalitiesCode1
Contrast and Classify: Training Robust VQA ModelsCode1
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide SequencingCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-IdentificationCode1
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action RecognitionCode1
ContraCLM: Contrastive Learning For Causal Language ModelCode1
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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