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 1001–1050 of 6661 papers

TitleStatusHype
Graph Matching with Bi-level Noisy CorrespondenceCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time SeriesCode1
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text PairsCode1
CL4CTR: A Contrastive Learning Framework for CTR PredictionCode1
Hyperbolic Contrastive Learning for Visual Representations beyond ObjectsCode1
Normalized Contrastive Learning for Text-Video RetrievalCode1
SliceMatch: Geometry-guided Aggregation for Cross-View Pose EstimationCode1
Unsupervised Wildfire Change Detection based on Contrastive LearningCode1
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head SynthesisCode1
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic SegmentationCode1
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image SegmentationCode1
Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation RecognitionCode1
Self-supervised vision-language pretraining for Medical visual question answeringCode1
Pose-disentangled Contrastive Learning for Self-supervised Facial RepresentationCode1
Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing AugmentationsCode1
Learning with Partial Labels from Semi-supervised PerspectiveCode1
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive LearningCode1
Video Instance Shadow Detection Under the Sun and SkyCode1
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionCode1
Texts as Images in Prompt Tuning for Multi-Label Image RecognitionCode1
Transformer Based Multi-Grained Features for Unsupervised Person Re-IdentificationCode1
On Narrative Information and the Distillation of StoriesCode1
Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsCode1
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space ViewpointCode1
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing DeepfakesCode1
Temporal Knowledge Graph Reasoning with Historical Contrastive LearningCode1
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image FusionCode1
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image TranslationCode1
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale GraphsCode1
Contrastive Positive Sample Propagation along the Audio-Visual Event LineCode1
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel SemanticsCode1
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive LearningCode1
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing ImageCode1
RankCSE: Unsupervised Representation Learning via Learning to RankCode1
C3: Cross-instance guided Contrastive ClusteringCode1
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive StructureCode1
Contrastive learning for regression in multi-site brain age predictionCode1
Self-Supervised Graph Structure Refinement for Graph Neural NetworksCode1
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive LearningCode1
English Contrastive Learning Can Learn Universal Cross-lingual Sentence EmbeddingsCode1
Unbiased Supervised Contrastive LearningCode1
Efficient Zero-shot Event Extraction with Context-Definition AlignmentCode1
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence EmbeddingsCode1
GOOD-D: On Unsupervised Graph Out-Of-Distribution DetectionCode1
Black-Box Attack against GAN-Generated Image Detector with Contrastive PerturbationCode1
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio EffectsCode1
SLICER: Learning universal audio representations using low-resource self-supervised pre-trainingCode1
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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