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 6401–6450 of 6661 papers

TitleStatusHype
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning NetworkCode0
Exploring Instance Relations for Unsupervised Feature EmbeddingCode0
Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive LearningCode0
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution GeneralizationCode0
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-AttentionCode0
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial TrainingCode0
Contrasting quadratic assignments for set-based representation learningCode0
How does Contrastive Learning Organize Images?Code0
A Closer Look at Invariances in Self-supervised Pre-training for 3D VisionCode0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive LearningCode0
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value IdentificationCode0
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain AdaptationCode0
Adaptive Similarity Bootstrapping for Self-Distillation based Representation LearningCode0
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment PredictionCode0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
Adaptive Multi-head Contrastive LearningCode0
ExeChecker: Where Did I Go Wrong?Code0
Boosting Semi-Supervised Scene Text Recognition via Viewing and SummarizingCode0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One ClassifierCode0
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare PredictionCode0
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic GraphsCode0
ContraSim -- Analyzing Neural Representations Based on Contrastive LearningCode0
Event-enhanced Retrieval in Real-time SearchCode0
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationCode0
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer FeaturesCode0
Global Contrastive Batch Sampling via Optimization on Sample PermutationsCode0
RUIE: Retrieval-based Unified Information Extraction using Large Language ModelCode0
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech DetectionCode0
Tailoring Visual Object Representations to Human Requirements: A Case Study with a Recycling RobotCode0
Long Context Question Answering via Supervised Contrastive LearningCode0
Event-Based Contrastive Learning for Medical Time SeriesCode0
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive ReplayCode0
Bitext Mining for Low-Resource Languages via Contrastive LearningCode0
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine TranslationCode0
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and ExplainabilityCode0
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End DevicesCode0
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma GradingCode0
Estimated Audio-Caption Correspondences Improve Language-Based Audio RetrievalCode0
SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTsCode0
Continual Graph Convolutional Network for Text ClassificationCode0
Continual Contrastive Learning for Image ClassificationCode0
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance DetectionCode0
An Asymmetric Contrastive Loss for Handling Imbalanced DatasetsCode0
Contextualized Spatio-Temporal Contrastive Learning with Self-SupervisionCode0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
Establishing a stronger baseline for lightweight contrastive modelsCode0
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive LearningCode0
Equivariant Contrastive Learning for Sequential RecommendationCode0
Show:102550
← PrevPage 129 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