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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1700 of 6661 papers

TitleStatusHype
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual RepresentationsCode1
Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised ClusteringCode1
Towards Cross-Table Masked Pretraining for Web Data MiningCode1
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You NeedCode1
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based FeaturesCode1
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map ConstructionCode1
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual ScreeningCode1
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction PerspectiveCode1
CL4CTR: A Contrastive Learning Framework for CTR PredictionCode1
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing ModalitiesCode1
CURL: Contrastive Unsupervised Representation Learning for Reinforcement LearningCode1
CURL: Contrastive Unsupervised Representations for Reinforcement LearningCode1
Debiased Contrastive Learning of Unsupervised Sentence RepresentationsCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
Revisiting Self-Supervised Contrastive Learning for Facial Expression RecognitionCode1
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion RecognitionCode1
Equivariant Contrastive LearningCode1
A Simple Contrastive Learning Objective for Alleviating Neural Text DegenerationCode1
COMPLETER: Incomplete Multi-view Clustering via Contrastive PredictionCode1
Robust Contrastive Learning against Noisy ViewsCode1
A simple, efficient and scalable contrastive masked autoencoder for learning visual representationsCode1
Robust Pre-Training by Adversarial Contrastive LearningCode1
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTsCode1
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive LearningCode1
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context ModelingCode1
Empowering Collaborative Filtering with Principled Adversarial Contrastive LossCode1
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance AnnotationCode1
CLAP: Isolating Content from Style through Contrastive Learning with Augmented PromptsCode1
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Dual Contrastive Prediction for Incomplete Multi-view Representation LearningCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasetsCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive DerainingCode1
Efficient Zero-shot Event Extraction with Context-Definition AlignmentCode1
Scaling Sentence Embeddings with Large Language ModelsCode1
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural NetworksCode1
Dual Contrastive Learning: Text Classification via Label-Aware Data AugmentationCode1
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information RetrievalCode1
Scene-Text Grounding for Text-Based Video Question AnsweringCode1
Data Augmentation-free Unsupervised Learning for 3D Point Cloud UnderstandingCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
Data Augmenting Contrastive Learning of Speech Representations in the Time DomainCode1
SCS-Co: Self-Consistent Style Contrastive Learning for Image HarmonizationCode1
Dual-level Adaptive Incongruity-enhanced Model for Multimodal Sarcasm DetectionCode1
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word ProblemsCode1
Segment Anything Model is a Good Teacher for Local Feature LearningCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation ExtractionCode1
Community-Invariant Graph Contrastive LearningCode1
Show:102550
← PrevPage 34 of 134Next →
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