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 401–450 of 6661 papers

TitleStatusHype
HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction—0
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain GeneralizationCode1
Robust Audio-Visual Segmentation via Audio-Guided Visual Convergent Alignment—0
A Survey on Self-supervised Contrastive Learning for Multimodal Text-Image Analysis—0
Variational Bayesian Personalized RankingCode1
LuSeg: Efficient Negative and Positive Obstacles Segmentation via Contrast-Driven Multi-Modal Feature Fusion on the LunarCode1
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control—0
RankPO: Preference Optimization for Job-Talent MatchingCode0
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models—0
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning—0
Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in HistopathologyCode1
TacticExpert: Spatial-Temporal Graph Language Model for Basketball Tactics—0
Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition—0
Enhance Exploration in Safe Reinforcement Learning with Contrastive Representation Learning—0
Bilingual Dual-Head Deep Model for Parkinson's Disease Detection from SpeechCode0
A Siamese Network to Detect If Two Iris Images Are Monozygotic—0
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment—0
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence GenerationCode0
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection—0
Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation—0
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and AlignmentCode0
Robust Asymmetric Heterogeneous Federated Learning with Corrupted ClientsCode0
Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer—0
Quality Over Quantity? LLM-Based Curation for a Data-Efficient Audio-Video Foundation Model—0
Incomplete Multi-view Clustering via Diffusion Contrastive Generation—0
Implicit Contrastive Representation Learning with Guided Stop-gradientCode0
MaRI: Material Retrieval Integration across Domains—0
Aligning Text to Image in Diffusion Models is Easier Than You ThinkCode1
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?—0
Towards Spatial Transcriptomics-guided Pathological Image Recognition with Batch-Agnostic EncoderCode0
Just Functioning as a Hook for Two-Stage Referring Multi-Object Tracking—0
Anatomy-Aware Conditional Image-Text Retrieval—0
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion ModelsCode1
PersonaBooth: Personalized Text-to-Motion Generation—0
NukesFormers: Unpaired Hyperspectral Image Generation with Non-Uniform Domain Alignment—0
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER—0
CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning—0
DynamicID: Zero-Shot Multi-ID Image Personalization with Flexible Facial Editability—0
Heterogeneous bimodal attention fusion for speech emotion recognition—0
Towards Universal Text-driven CT Image SegmentationCode0
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature PerturbationCode0
Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI SynthesisCode0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation—0
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention DetectionCode1
Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between ProteinsCode0
Cross-modal Causal Relation Alignment for Video Question GroundingCode1
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings—0
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection—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