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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3551–3600 of 6661 papers

TitleStatusHype
Enhancing Adversarial Contrastive Learning via Adversarial Invariant RegularizationCode1
LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual InputCode0
SGAligner : 3D Scene Alignment with Scene GraphsCode1
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information—0
ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding—0
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive LearningCode0
Self-Supervised Multi-Modal Sequential RecommendationCode1
All Information is Necessary: Integrating Speech Positive and Negative Information by Contrastive Learning for Speech Enhancement—0
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence Tomography—0
Sample-Specific Debiasing for Better Image-Text Models—0
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated LearningCode1
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds—0
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints—0
OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification—0
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning—0
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular SynthesisCode1
Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation—0
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network—0
Constructing Tree-based Index for Efficient and Effective Dense RetrievalCode1
Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation—0
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning—0
CoReFace: Sample-Guided Contrastive Regularization for Deep Face Recognition—0
Unsupervised CD in satellite image time series by contrastive learning and feature tracking—0
Spectral Normalization and Dual Contrastive Regularization for Image-to-Image TranslationCode0
Learn What NOT to Learn: Towards Generative Safety in Chatbots—0
Deep Multiview Clustering by Contrasting Cluster AssignmentsCode1
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive LearningCode0
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus ImagesCode0
Video-based Contrastive Learning on Decision Trees: from Action Recognition to Autism Diagnosis—0
Is Cross-modal Information Retrieval Possible without Training?—0
Domain Generalization for Mammographic Image Analysis with Contrastive Learning—0
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision BoundaryCode0
Contrastive Tuning: A Little Help to Make Masked Autoencoders ForgetCode1
Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning—0
ID-MixGCL: Identity Mixup for Graph Contrastive Learning—0
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode—0
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite ImageryCode0
Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation—0
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision—0
Shuffle & Divide: Contrastive Learning for Long Text—0
EC^2: Emergent Communication for Embodied Control—0
CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image UnderstandingCode1
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training—0
Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata—0
Frequency Enhanced Hybrid Attention Network for Sequential RecommendationCode1
Dual-Granularity Contrastive Learning for Session-based Recommendation—0
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings—0
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning—0
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction—0
Show:102550
← PrevPage 72 of 134Next →
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