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 1701–1750 of 6661 papers

TitleStatusHype
Contrastive Learning from Synthetic Audio Doppelgängers—0
A DeNoising FPN With Transformer R-CNN for Tiny Object DetectionCode2
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and LanguageCode2
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 LossCode0
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training ModelsCode1
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal LearningCode1
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language AlignmentCode1
QAGCF: Graph Collaborative Filtering for Q&A Recommendation—0
Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement—0
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement LearningCode1
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual TransformersCode0
Denoising-Aware Contrastive Learning for Noisy Time SeriesCode1
Confidence-aware Contrastive Learning for Selective ClassificationCode0
Low-Rank Similarity Mining for Multimodal Dataset DistillationCode1
Road Network Representation Learning with the Third Law of Geography—0
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model EditsCode0
Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive LearningCode1
Alignment Calibration: Machine Unlearning for Contrastive Learning under Auditing—0
ConPCO: Preserving Phoneme Characteristics for Automatic Pronunciation Assessment Leveraging Contrastive Ordinal Regularization—0
MMCL: Boosting Deformable DETR-Based Detectors with Multi-Class Min-Margin Contrastive Learning for Superior Prohibited Item DetectionCode0
Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and BeyondCode0
Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image SegmentationCode1
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential RecommendationCode0
RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification—0
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection—0
Negative Prototypes Guided Contrastive Learning for WSOD—0
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts—0
MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning—0
Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction—0
Contrastive Language Video Time Pre-training—0
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition—0
GOMAA-Geo: GOal Modality Agnostic Active Geo-localizationCode1
Personalized Topic Selection Model for Topic-Grounded Dialogue—0
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic SurgeryCode0
Multi-Agent Transfer Learning via Temporal Contrastive Learning—0
Enhancing Inertial Hand based HAR through Joint Representation of Language, Pose and Synthetic IMUs—0
MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging—0
Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion ModelsCode0
Contrastive Learning Via Equivariant Representation—0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation—0
Heterophilous Distribution Propagation for Graph Neural Networks—0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data—0
Towards Spoken Language Understanding via Multi-level Multi-grained Contrastive Learning—0
LInK: Learning Joint Representations of Design and Performance Spaces through Contrastive Learning for Mechanism SynthesisCode1
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation LearningCode0
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness EstimationCode0
Popularity-Aware Alignment and Contrast for Mitigating Popularity BiasCode0
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning—0
Medication Recommendation via Dual Molecular Modalities and Multi-Step EnhancementCode0
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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