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 2701–2750 of 6661 papers

TitleStatusHype
Learning Tree-Structured Composition of Data AugmentationCode0
Exploring Instance Relations for Unsupervised Feature EmbeddingCode0
How does Contrastive Learning Organize Images?Code0
Contrastive Attraction and Contrastive Repulsion for Representation LearningCode0
NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose EstimationCode0
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language ModelCode0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
Contrastive Conditional Latent Diffusion for Audio-visual SegmentationCode0
Large-Scale Hyperspectral Image Clustering Using Contrastive LearningCode0
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual TranslationCode0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction FollowingCode0
Language Agnostic Multilingual Information Retrieval with Contrastive LearningCode0
Generative-Contrastive Heterogeneous Graph Neural NetworkCode0
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment PredictionCode0
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised LearningCode0
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsCode0
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity RecognitionCode0
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image ClassificationCode0
A Multi-attribute Controllable Generative Model for Histopathology Image SynthesisCode0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech DetectionCode0
Contrastive and Selective Hidden Embeddings for Medical Image SegmentationCode0
ExeChecker: Where Did I Go Wrong?Code0
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative FilteringCode0
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare PredictionCode0
Knowing Where and What: Unified Word Block Pretraining for Document UnderstandingCode0
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic GraphsCode0
AmpleHate: Amplifying the Attention for Versatile Implicit Hate DetectionCode0
Knowledge-aware Dual-side Attribute-enhanced RecommendationCode0
Event-enhanced Retrieval in Real-time SearchCode0
Event-Centric Question Answering via Contrastive Learning and Invertible Event TransformationCode0
GeomCA: Geometric Evaluation of Data RepresentationsCode0
Contrasting the landscape of contrastive and non-contrastive learningCode0
Amortised Invariance Learning for Contrastive Self-SupervisionCode0
Keypoint Aware Masked Image ModellingCode0
Event-Based Contrastive Learning for Medical Time SeriesCode0
Contrasting quadratic assignments for set-based representation learningCode0
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption RetrievalCode0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive LearningCode0
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence ClusteringCode0
Bayesian Self-Supervised Contrastive LearningCode0
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and ExplainabilityCode0
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language UnderstandingCode0
Bayesian Robust Graph Contrastive LearningCode0
Joint Searching and Grounding: Multi-Granularity Video Content RetrievalCode0
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence EmbeddingsCode0
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma GradingCode0
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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