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 1901–1950 of 6661 papers

TitleStatusHype
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based RecommendationCode0
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach—0
Weakly-supervised Contrastive Learning with Quantity Prompts for Moving Infrared Small Target DetectionCode0
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation—0
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender SystemCode0
FOCUS: Fine-grained Optimization with Semantic Guided Understanding for Pedestrian Attributes Recognition—0
V2X-REALM: Vision-Language Model-Based Robust End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling—0
DiMPLe -- Disentangled Multi-Modal Prompt Learning: Enhancing Out-Of-Distribution Alignment with Invariant and Spurious Feature Separation—0
Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive LearningCode0
Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous GraphsCode0
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated TextCode0
Topology-Aware Modeling for Unsupervised Simulation-to-Reality Point Cloud RecognitionCode0
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer FeaturesCode0
PeakNetFP: Peak-based Neural Audio Fingerprinting Robust to Extreme Time Stretching—0
FedSC: Federated Learning with Semantic-Aware CollaborationCode0
Directed Link Prediction using GNN with Local and Global Feature Fusion—0
ConViTac: Aligning Visual-Tactile Fusion with Contrastive Representations—0
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization—0
scMamba: A Scalable Foundation Model for Single-Cell Multi-Omics Integration Beyond Highly Variable Feature Selection—0
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECGCode0
Iterative Quantum Feature Maps—0
VoxelOpt: Voxel-Adaptive Message Passing for Discrete Optimization in Deformable Abdominal CT RegistrationCode0
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning—0
WebGuard++:Interpretable Malicious URL Detection via Bidirectional Fusion of HTML Subgraphs and Multi-Scale Convolutional BERT—0
SSAVSV: Towards Unified Model for Self-Supervised Audio-Visual Speaker Verification—0
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation—0
Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding—0
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities—0
Heterogeneous Temporal Hypergraph Neural Network—0
Cross-Modality Learning for Predicting IHC Biomarkers from H&E-Stained Whole-Slide Images—0
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs—0
Unified Representation Space for 3D Visual Grounding—0
I Speak and You Find: Robust 3D Visual Grounding with Noisy and Ambiguous Speech Inputs—0
Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited PlacesCode0
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems—0
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval—0
RelTopo: Enhancing Relational Modeling for Driving Scene Topology Reasoning—0
Contrastive Self-Supervised Learning As Neural Manifold Packing—0
SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation—0
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and ExplainabilityCode0
Information fusion strategy integrating pre-trained language model and contrastive learning for materials knowledge mining—0
InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning—0
SemanticST: Spatially Informed Semantic Graph Learning for Clustering, Integration, and Scalable Analysis of Spatial Transcriptomics—0
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image AnalysisCode0
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition—0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning—0
A theoretical framework for self-supervised contrastive learning for continuous dependent data—0
HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data—0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
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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