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 2051–2100 of 6661 papers

TitleStatusHype
LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization—0
Contrastive Alignment with Semantic Gap-Aware Corrections in Text-Video RetrievalCode0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding—0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Not All Documents Are What You Need for Extracting Instruction Tuning Data—0
Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables—0
Robust Cross-View Geo-Localization via Content-Viewpoint Disentanglement—0
Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methods—0
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement—0
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation—0
CellCLIP -- Learning Perturbation Effects in Cell Painting via Text-Guided Contrastive Learning—0
Fractal Graph Contrastive Learning—0
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware CapabilityCode0
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback—0
Robust Federated Learning on Edge Devices with Domain Heterogeneity—0
FRET: Feature Redundancy Elimination for Test Time Adaptation—0
Less is More: Multimodal Region Representation via Pairwise Inter-view LearningCode0
Instance-Prototype Affinity Learning for Non-Exemplar Continual Graph Learning—0
Negative Metric Learning for Graphs—0
Unsupervised Multiview Contrastive Language-Image Joint Learning with Pseudo-Labeled Prompts Via Vision-Language Model for 3D/4D Facial Expression Recognition—0
A Multi-Task Foundation Model for Wireless Channel Representation Using Contrastive and Masked Autoencoder Learning—0
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records—0
DFA-CON: A Contrastive Learning Approach for Detecting Copyright Infringement in DeepFake Art—0
Improving Unsupervised Task-driven Models of Ventral Visual Stream via Relative Position PredictivityCode0
Pre-training vs. Fine-tuning: A Reproducibility Study on Dense Retrieval Knowledge AcquisitionCode0
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes—0
Self-Supervised Transformer-based Contrastive Learning for Intrusion Detection SystemsCode0
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection—0
MarkMatch: Same-Hand Stuffing Detection—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Joint Low-level and High-level Textual Representation Learning with Multiple Masking Strategies—0
A Vision-Language Foundation Model for Leaf Disease IdentificationCode0
Weakly Supervised Temporal Sentence Grounding via Positive Sample Mining—0
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling LawsCode0
Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies—0
Generalization Analysis for Contrastive Representation Learning under Non-IID Settings—0
Rethinking Graph Contrastive Learning through Relative Similarity Preservation—0
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines—0
VaCDA: Variational Contrastive Alignment-based Scalable Human Activity Recognition—0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights—0
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution—0
Path and Bone-Contour Regularized Unpaired MRI-to-CT TranslationCode0
STG: Spatiotemporal Graph Neural Network with Fusion and Spatiotemporal Decoupling Learning for Prognostic Prediction of Colorectal Cancer Liver Metastasis—0
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence EmbeddingsCode0
Generative Sign-description Prompts with Multi-positive Contrastive Learning for Sign Language Recognition—0
VAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge InjectionCode0
Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning NetworkCode0
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding—0
Intelligently Augmented Contrastive Tensor Factorization: Empowering Multi-dimensional Time Series Classification in Low-Data Environments—0
CSE-SFP: Enabling Unsupervised Sentence Representation Learning via a Single Forward Pass—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