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 951–1000 of 6661 papers

TitleStatusHype
Cluster-Level Contrastive Learning for Emotion Recognition in ConversationsCode1
A latent space for unsupervised MR image quality control via artifact assessmentCode1
Contrastive Grouping with Transformer for Referring Image SegmentationCode1
Knowledge Graph Contrastive Learning for RecommendationCode1
Actionness Inconsistency-guided Contrastive Learning for Weakly-supervised Temporal Action LocalizationCode1
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
ContrastVAE: Contrastive Variational AutoEncoder for Sequential RecommendationCode1
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD CodingCode1
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable BasisCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Contrast then Memorize: Semantic Neighbor Retrieval-Enhanced Inductive Multimodal Knowledge Graph CompletionCode1
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
CONVERT:Contrastive Graph Clustering with Reliable AugmentationCode1
Co^2L: Contrastive Continual LearningCode1
Co2L: Contrastive Continual LearningCode1
Language modeling via stochastic processesCode1
BankNote-Net: Open dataset for assistive universal currency recognitionCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert LinkingCode1
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
Large Scale Adversarial Representation LearningCode1
ContrastNet: A Contrastive Learning Framework for Few-Shot Text ClassificationCode1
Contrastive Video Question Answering via Video Graph TransformerCode1
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation StudyCode1
COMPLETER: Incomplete Multi-view Clustering via Contrastive PredictionCode1
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-IdentificationCode1
CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent MaskingCode1
COCOA: Cross Modality Contrastive Learning for Sensor DataCode1
CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive LearningCode1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal ContrastCode1
COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingCode1
CoCon: Cooperative-Contrastive LearningCode1
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image FusionCode1
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationCode1
Learning 3D Representations of Molecular Chirality with Invariance to Bond RotationsCode1
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input RepresentationCode1
Active Contrastive Learning of Audio-Visual Video RepresentationsCode1
Convolutional Cross-View Pose EstimationCode1
Learning Better Contrastive View from Radiologist's GazeCode1
Aligning Language Models with Human Preferences via a Bayesian ApproachCode1
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity RepresentationsCode1
Augmentations in Hypergraph Contrastive Learning: Fabricated and GenerativeCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Community-Invariant Graph Contrastive LearningCode1
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch MiningCode1
Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-IdentificationCode1
Learning From Noisy Data With Robust Representation LearningCode1
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action RecognitionCode1
A Message Passing Perspective on Learning Dynamics of Contrastive LearningCode1
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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