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 651–700 of 6661 papers

TitleStatusHype
Contrastive Learning for Improving ASR Robustness in Spoken Language UnderstandingCode1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive LearningCode1
An Efficient Self-Supervised Cross-View Training For Sentence EmbeddingCode1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic RepresentationsCode1
Benchmarking Omni-Vision Representation through the Lens of Visual RealmsCode1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
Contrastive Learning for Knowledge TracingCode1
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationCode1
CRIS: CLIP-Driven Referring Image SegmentationCode1
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked AutoencodersCode1
CrossCBR: Cross-view Contrastive Learning for Bundle RecommendationCode1
Large-Scale Representation Learning on Graphs via BootstrappingCode1
Contrastive Learning for Conversion Rate PredictionCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Cross-modal Causal Relation Alignment for Video Question GroundingCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image CaptioningCode1
Bootstrapping meaning through listening: Unsupervised learning of spoken sentence embeddingsCode1
Bootstrapping Semantic Segmentation with Regional ContrastCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide GenerationCode1
Change-Aware Sampling and Contrastive Learning for Satellite ImagesCode1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID DataCode1
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance SegmentationCode1
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-trainingCode1
CSGCL: Community-Strength-Enhanced Graph Contrastive LearningCode1
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal ConversionCode1
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual RepresentationsCode1
Contrastive Learning for Cross-Domain Open World RecognitionCode1
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated 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
Contrastive Learning for Many-to-many Multilingual Neural Machine TranslationCode1
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language ModelsCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport DistillationCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing ModalitiesCode1
Debiased Contrastive LearningCode1
Debiased Contrastive Learning for Sequential RecommendationCode1
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving SystemsCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot FillingCode1
Behavior Contrastive Learning for Unsupervised Skill DiscoveryCode1
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid ViewsCode1
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive LearningCode1
Contrastive Learning for Cold-Start RecommendationCode1
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based LossesCode1
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural networkCode1
Contrastive Learning and Mixture of Experts Enables Precise Vector EmbeddingsCode1
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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