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 2201–2250 of 6661 papers

TitleStatusHype
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation—0
DecisionNCE: Embodied Multimodal Representations via Implicit Preference LearningCode2
Polos: Multimodal Metric Learning from Human Feedback for Image CaptioningCode1
A Language Model based Framework for New Concept Placement in OntologiesCode1
FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems—0
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image AnalysisCode3
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful SpaceCode2
LocalGCL: Local-aware Contrastive Learning for Graphs—0
Demonstrating and Reducing Shortcuts in Vision-Language Representation LearningCode0
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding—0
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge GraphsCode1
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing—0
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs—0
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings—0
Deep Contrastive Graph Learning with Clustering-Oriented Guidance—0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics—0
CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge—0
Debiased Model-based Interactive Recommendation—0
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer ClassificationCode0
Making Pre-trained Language Models Better Continual Few-Shot Relation ExtractorsCode0
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks—0
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving—0
CI w/o TN: Context Injection without Task Name for Procedure Planning—0
Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language ModelsCode0
Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings—0
Smoothed Graph Contrastive Learning via Seamless Proximity IntegrationCode0
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive LearningCode0
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models—0
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm SegmentationCode0
CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion—0
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task—0
Self-supervised Visualisation of Medical Image DatasetsCode0
Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience—0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
The Effectiveness of Graph Contrastive Learning on Mathematical Information RetrievalCode0
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time SeriesCode1
Event-aware Video Corpus Moment Retrieval—0
Unsupervised learning based object detection using Contrastive Learning—0
CCFC++: Enhancing Federated Clustering through Feature Decorrelation—0
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models—0
Analysis of Using Sigmoid Loss for Contrastive Learning—0
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts—0
Revealing the Relationship Between Publication Bias and Chemical Reactivity with Contrastive Learning—0
Attacks on Node Attributes in Graph Neural NetworksCode0
Language-guided Image Reflection Separation—0
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training—0
Separating common from salient patterns with Contrastive Representation LearningCode0
Learning the Unlearned: Mitigating Feature Suppression in 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