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

Showing 251300 of 6661 papers

TitleStatusHype
Aligning Text to Image in Diffusion Models is Easier Than You ThinkCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
Contrastive Embeddings for Neural ArchitecturesCode1
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with GeneticsCode1
ContraBAR: Contrastive Bayes-Adaptive Deep RLCode1
Contrast and Classify: Training Robust VQA ModelsCode1
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningCode1
Constructing Tree-based Index for Efficient and Effective Dense RetrievalCode1
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical ImagesCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image TranslationCode1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text EmbeddingsCode1
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal GroundingCode1
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferCode1
ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face SynthesisCode1
A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place RecognitionCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
Consistent Explanations by Contrastive LearningCode1
Temporal Context Aggregation for Video Retrieval with Contrastive LearningCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Contrastive Laplacian EigenmapsCode1
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex InteractionsCode1
A graph-transformer for whole slide image classificationCode1
Compositional Exemplars for In-context LearningCode1
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksCode1
COMPLETER: Incomplete Multi-view Clustering via Contrastive PredictionCode1
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based FeaturesCode1
Compressive Visual RepresentationsCode1
CoMatch: Semi-supervised Learning with Contrastive Graph RegularizationCode1
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D DatasetsCode1
Community-Invariant Graph Contrastive LearningCode1
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalCode1
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage SummarizationCode1
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural NetworksCode1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology ImagesCode1
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular SynthesisCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited AnnotationsCode1
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image FusionCode1
CoCon: Cooperative-Contrastive LearningCode1
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive LearningCode1
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive LearningCode1
COCOA: Cross Modality Contrastive Learning for Sensor DataCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
A picture of the space of typical learnable tasksCode1
Co-clustering for Federated Recommender SystemCode1
COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ResNet50ImageNet Top-1 Accuracy73.6Unverified
2ResNet50ImageNet Top-1 Accuracy73Unverified
3ResNet50ImageNet Top-1 Accuracy71.1Unverified
4ResNet50ImageNet Top-1 Accuracy69.3Unverified
5ResNet50 (v2)ImageNet Top-1 Accuracy67.6Unverified
6ResNet50 (v2)ImageNet Top-1 Accuracy63.8Unverified
7ResNet50ImageNet Top-1 Accuracy63.6Unverified
8ResNet50ImageNet Top-1 Accuracy61.5Unverified
9ResNet50ImageNet Top-1 Accuracy61.5Unverified
10ResNet50 (4×)ImageNet Top-1 Accuracy61.3Unverified
#ModelMetricClaimedVerifiedStatus
110..5sec1Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)84.77Unverified
#ModelMetricClaimedVerifiedStatus
1IPCL (ResNet18)Accuracy (Top-1)85.55Unverified