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 2426–2450 of 6661 papers

TitleStatusHype
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings—0
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation—0
A Framework for Generative and Contrastive Learning of Audio Representations—0
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping—0
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification—0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
Cross-view Graph Contrastive Representation Learning on Partially Aligned Multi-view Data—0
A Semi-supervised Learning Approach for B-line Detection in Lung Ultrasound Images—0
CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding—0
CIBR: Cross-modal Information Bottleneck Regularization for Robust CLIP Generalization—0
Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization—0
CHOSEN: Contrastive Hypothesis Selection for Multi-View Depth Refinement—0
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy—0
A Flexible Framework for Discovering Novel Categories with Contrastive Learning—0
A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space—0
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition—0
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models—0
3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information—0
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning—0
Cross-Patient Pseudo Bags Generation and Curriculum Contrastive Learning for Imbalanced Multiclassification of Whole Slide Image—0
CHIME: A Compressive Framework for Holistic Interest Modeling—0
CrossMuSim: A Cross-Modal Framework for Music Similarity Retrieval with LLM-Powered Text Description Sourcing and Mining—0
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network—0
A Self-supervised Mixed-curvature Graph Neural Network—0
ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language—0
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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