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 751–800 of 6661 papers

TitleStatusHype
Unsupervised Episode Generation for Graph Meta-learningCode1
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
PrimeNet: Pre-Training for Irregular Multivariate Time SeriesCode1
Structuring Representation Geometry with Rotationally Equivariant Contrastive LearningCode1
Similarity Preserving Adversarial Graph Contrastive LearningCode1
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement LearningCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive LearningCode1
Inter-Instance Similarity Modeling for Contrastive LearningCode1
Spatial-Temporal Graph Learning with Adversarial Contrastive AdaptationCode1
HomoGCL: Rethinking Homophily in Graph Contrastive LearningCode1
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Generate to Understand for RepresentationCode1
Time-aware Graph Structure Learning via Sequence Prediction on Temporal GraphsCode1
Contrastive Learning-Based Audio to Lyrics Alignment for Multiple LanguagesCode1
DocumentCLIP: Linking Figures and Main Body Text in Reflowed DocumentsCode1
Factorized Contrastive Learning: Going Beyond Multi-view RedundancyCode1
R-MAE: Regions Meet Masked AutoencodersCode1
On the Generalization of Multi-modal Contrastive LearningCode1
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline DataCode1
Click: Controllable Text Generation with Sequence Likelihood Contrastive LearningCode1
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and GraphsCode1
Asymmetric Patch Sampling for Contrastive LearningCode1
LRVS-Fashion: Extending Visual Search with Referring InstructionsCode1
ReContrast: Domain-Specific Anomaly Detection via Contrastive ReconstructionCode1
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-TrainingCode1
rPPG-MAE: Self-supervised Pre-training with Masked Autoencoders for Remote Physiological MeasurementCode1
ContraBAR: Contrastive Bayes-Adaptive Deep RLCode1
MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement LearningCode1
Supervised Adversarial Contrastive Learning for Emotion Recognition in ConversationsCode1
Self Contrastive Learning for Session-based RecommendationCode1
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive LearningCode1
Training neural operators to preserve invariant measures of chaotic attractorsCode1
LIV: Language-Image Representations and Rewards for Robotic ControlCode1
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment AnalysisCode1
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural NetworksCode1
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-TuningCode1
Whitening-based Contrastive Learning of Sentence EmbeddingsCode1
Matrix Information Theory for Self-Supervised LearningCode1
Hierarchical Verbalizer for Few-Shot Hierarchical Text ClassificationCode1
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly DetectionCode1
RankCSE: Unsupervised Sentence Representations Learning via Learning to RankCode1
Towards Open-World Segmentation of PartsCode1
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based RecommendationCode1
Contrastive Learning of Sentence Embeddings from ScratchCode1
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent ClassificationCode1
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text ClusteringCode1
SiCL: Silhouette-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes ChangeCode1
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound ClassificationCode1
Show:102550
← PrevPage 16 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