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 101–125 of 6661 papers

TitleStatusHype
Enriching Location Representation with Detailed Semantic Information—0
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation—0
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning—0
AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature PromptingCode0
Learning More with Less: Self-Supervised Approaches for Low-Resource Speech Emotion Recognition—0
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG—0
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence ClusteringCode0
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and DisorderCode1
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous QueriesCode0
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker ExtractionCode0
Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic SegmentationCode0
A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning—0
A Mathematical Perspective On Contrastive Learning—0
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation—0
Efficient Text Encoders for Labor Market Analysis—0
MGS3: A Multi-Granularity Self-Supervised Code Search Framework—0
BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive LearningCode0
Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning—0
Query Routing for Retrieval-Augmented Language Models—0
EmotionRankCLAP: Bridging Natural Language Speaking Styles and Ordinal Speech Emotion via Rank-N-Contrast—0
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis—0
Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation LearningCode0
FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series ClassificationCode1
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object TrajectoryCode2
GenCAD-Self-Repairing: Feasibility Enhancement for 3D CAD Generation—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