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 1351–1400 of 6661 papers

TitleStatusHype
Leveraging Superfluous Information in Contrastive Representation Learning—0
Uniting contrastive and generative learning for event sequences models—0
3D-Consistent Human Avatars with Sparse Inputs via Gaussian Splatting and Contrastive Learning—0
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise—0
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning—0
Structure-enhanced Contrastive Learning for Graph Clustering—0
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields—0
PLUTUS: A Well Pre-trained Large Unified Transformer can Unveil Financial Time Series Regularities—0
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems—0
WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models—0
3C: Confidence-Guided Clustering and Contrastive Learning for Unsupervised Person Re-IdentificationCode0
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning—0
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion RecognitionCode1
ConVerSum: A Contrastive Learning-based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents—0
Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio PairsCode0
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models—0
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing—0
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
ChatZero:Zero-shot Cross-Lingual Dialogue Generation via Pseudo-Target Language—0
EasyRec: Simple yet Effective Language Models for RecommendationCode2
PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure EstimationCode1
Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning—0
Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma GradingCode0
The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I TranslationCode1
Time-Dependent VAE for Building Latent Representations from Visual Neural Activity with Complex Dynamics—0
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System—0
HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation—0
End-to-end Semantic-centric Video-based Multimodal Affective Computing—0
PolyCL: Contrastive Learning for Polymer Representation Learning via Explicit and Implicit AugmentationsCode1
Contrastive Learning on Medical Intents for Sequential Prescription Recommendation—0
Bundle Recommendation with Item-level Causation-enhanced Multi-view LearningCode0
Class-aware and Augmentation-free Contrastive Learning from Label Proportion—0
Oracle Bone Script Similiar Character Screening Approach Based on Simsiam Contrastive Learning and Supervised Learning—0
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IANCode1
Masked Image Modeling: A SurveyCode1
Probabilistic Vision-Language Representation for Weakly Supervised Temporal Action LocalizationCode1
Multi-scale Contrastive Adaptor Learning for Segmenting Anything in Underperformed Scenes—0
DEEPTalk: Dynamic Emotion Embedding for Probabilistic Speech-Driven 3D Face Animation—0
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentCode2
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning—0
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning—0
HiLight: A Hierarchy-aware Light Global Model with Hierarchical Local ConTrastive Learning—0
HateSieve: A Contrastive Learning Framework for Detecting and Segmenting Hateful Content in Multimodal Memes—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval—0
CURLing the Dream: Contrastive Representations for World Modeling in Reinforcement Learning—0
PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-IdentificationCode1
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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