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 5251–5300 of 6661 papers

TitleStatusHype
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
Improving Dense Contrastive Learning with Dense Negative Pairs—0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning—0
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval—0
CONSS: Contrastive Learning Approach for Semi-Supervised Seismic Facies Classification—0
Robust Diversified Graph Contrastive Network for Incomplete Multi-view ClusteringCode0
AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search—0
Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER—0
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression—0
Improving Continual Relation Extraction through Prototypical Contrastive Learning—0
Multilingual Representation Distillation with Contrastive Learning—0
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive LearningCode0
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation LearningCode0
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning—0
SAICL: Student Modelling with Interaction-level Auxiliary Contrastive Tasks for Knowledge Tracing and Dropout Prediction—0
Unsupervised Semantic Representation Learning of Scientific Literature Based on Graph Attention Mechanism and Maximum Mutual Information—0
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup—0
CLAD: A Contrastive Learning based Approach for Background DebiasingCode0
Brief Introduction to Contrastive Learning Pretext Tasks for Visual Representation—0
Jitter Does Matter: Adapting Gaze Estimation to New Domains—0
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive LearningCode0
A Study on the Efficiency and Generalization of Light Hybrid Retrievers—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
CFL-Net: Image Forgery Localization Using Contrastive LearningCode0
Backdoor Attacks in the Supply Chain of Masked Image Modeling—0
Self-supervised Pre-training for Semantic Segmentation in an Indoor Scene—0
Fine-grained Contrastive Learning for Definition GenerationCode0
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive LearningCode0
DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction—0
Table-based Fact Verification with Self-labeled Keypoint Alignment—0
Improving Deep Embedded Clustering via Learning Cluster-level Representations—0
Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention PoolingCode0
Detecting Irregular Network Activity with Adversarial Learning and Expert FeedbackCode0
Abstains from Prediction: Towards Robust Relation Extraction in Real World—0
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning—0
Supervised Contrastive Learning for Cross-lingual Transfer Learning—0
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis—0
SPACL: Shared-Private Architecture based on Contrastive Learning for Multi-domain Text Classification—0
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases—0
Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning—0
E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models—0
Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning—0
CLoSE: Contrastive Learning of Subframe Embeddings for Political Bias Classification of News MediaCode0
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language DebiasingCode0
CoCGAN: Contrastive Learning for Adversarial Category Text Generation—0
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance DetectionCode0
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning—0
AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis—0
ConIsI: A Contrastive Framework with Inter-sentence Interaction for Self-supervised Sentence Representation—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