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 4801–4850 of 6661 papers

TitleStatusHype
ModEFormer: Modality-Preserving Embedding for Audio-Video Synchronization using Transformers—0
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillationCode0
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked AutoencodersCode0
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning—0
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion—0
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning—0
Exploring Representation Learning for Small-Footprint Keyword Spotting—0
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal RepresentationsCode0
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition—0
Weakly-Supervised Text Instance Segmentation—0
Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention—0
Unsupervised Gait Recognition with Selective Fusion—0
STGIC: a graph and image convolution-based method for spatial transcriptomic clustering—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure ImageCode0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
Unsupervised Facial Expression Representation Learning with Contrastive Local WarpingCode0
SmartBERT: A Promotion of Dynamic Early Exiting Mechanism for Accelerating BERT Inference—0
Spherical Space Feature Decomposition for Guided Depth Map Super-ResolutionCode0
SymBa: Symmetric Backpropagation-Free Contrastive Learning with Forward-Forward Algorithm for Optimizing ConvergenceCode0
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation—0
Molecular Property Prediction by Semantic-invariant Contrastive Learning—0
Nearest-Neighbor Inter-Intra Contrastive Learning from Unlabeled Videos—0
DEHRFormer: Real-time Transformer for Depth Estimation and Haze Removal from Varicolored Haze Scenes—0
Accommodating Audio Modality in CLIP for Multimodal ProcessingCode0
Proactive Prioritization of App Issues via Contrastive LearningCode0
Graph Contrastive Learning under Heterophily via Graph Filters—0
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast—0
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network—0
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework—0
Multi-task Meta Label Correction for Time Series PredictionCode0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations—0
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction—0
Learning Representation for Anomaly Detection of Vehicle Trajectories—0
An Evaluation of Non-Contrastive Self-Supervised Learning for Federated Medical Image Analysis—0
TQ-Net: Mixed Contrastive Representation Learning For Heterogeneous Test Questions—0
Distortion-Disentangled Contrastive Learning—0
Semantically Consistent Multi-view Representation Learning—0
Adversarial Modality Alignment Network for Cross-Modal Molecule RetrievalCode0
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive LearningCode0
Adaptive Multi-User Channel Estimation Based on Contrastive Feature Learning—0
SC-Block: Supervised Contrastive Blocking within Entity Resolution PipelinesCode0
Contrastive variational information bottleneck for aspect-based sentiment analysisCode0
Contrastive Latent Variable Models for Neural Text GenerationCode0
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential MechanismCode0
Fine-Grained Classification with Noisy Labels—0
Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning—0
NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning—0
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive LearningCode0
Hierarchical discriminative learning improves visual representations of biomedical microscopy—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