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 4651–4700 of 6661 papers

TitleStatusHype
Dynamic Negative Example Construction for Grammatical Error Correction using Contrastive Learning—0
Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification—0
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification—0
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay—0
Dynamic Stereotype Theory Induced Micro-expression Recognition with Oriented Deformation—0
DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes—0
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition—0
EAGLE: A Domain Generalization Framework for AI-generated Text Detection—0
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection—0
EASE: Entity-Aware Contrastive Learning of Sentence Embedding—0
EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering—0
EA-VTR: Event-Aware Video-Text Retrieval—0
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering—0
EC^2: Emergent Communication for Embodied Control—0
EC2: Emergent Communication for Embodied Control—0
ECG Biometric Authentication Using Self-Supervised Learning for IoT Edge Sensors—0
ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning—0
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation—0
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce—0
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations—0
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning—0
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG—0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning—0
EEG-Language Modeling for Pathology Detection—0
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
Effective Fine-Tuning Methods for Cross-lingual Adaptation—0
Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis—0
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer—0
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation—0
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously—0
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats—0
Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning—0
Efficient Domain Adaptation of Multimodal Embeddings using Constrastive Learning—0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations—0
Efficient Selective Audio Masked Multimodal Bottleneck Transformer for Audio-Video Classification—0
Efficient Test-Time Prompt Tuning for Vision-Language Models—0
Efficient Text Encoders for Labor Market Analysis—0
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning—0
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning—0
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval—0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval—0
Eliminating the Language Bias for Visual Question Answering with fine-grained Causal Intervention—0
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders—0
ELM: Embedding and Logit Margins for Long-Tail Learning—0
Elsa: Energy-based learning for semi-supervised anomaly detection—0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning—0
Embed and Emulate: Contrastive representations for simulation-based inference—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