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 2801–2850 of 6661 papers

TitleStatusHype
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal AdapterCode1
Open-Set Multivariate Time-Series Anomaly Detection—0
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction FollowingCode0
Multi-view Contrastive Learning for Entity Typing over Knowledge GraphsCode0
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation LearningCode0
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation—0
Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural NetworksCode0
Node-based Knowledge Graph Contrastive Learning for Medical Relationship PredictionCode0
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval—0
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised RankingCode0
DropMix: Better Graph Contrastive Learning with Harder Negative SamplesCode0
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings—0
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
Large Language Model-Aware In-Context Learning for Code Generation—0
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation—0
Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos—0
Towards End-to-End Unsupervised Saliency Detection with Self-Supervised Top-Down Context—0
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation—0
Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations—0
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport—0
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification—0
Two-Stage Deep Learning Framework for Quality Assessment of Left Atrial Late Gadolinium Enhanced MRI Images—0
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot FillingCode0
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval—0
CLExtract: Recovering Highly Corrupted DVB/GSE Satellite Stream with Contrastive Learning—0
Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive LearningCode0
Hyp-UML: Hyperbolic Image Retrieval with Uncertainty-aware Metric Learning—0
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic EnhancementCode1
SimCKP: Simple Contrastive Learning of Keyphrase RepresentationsCode1
X-Pose: Detecting Any KeypointsCode2
Rethinking Negative Pairs in Code SearchCode1
Splicing Up Your Predictions with RNA Contrastive LearningCode0
Visual Self-supervised Learning Scheme for Dense Prediction Tasks on X-ray Images—0
Language Models As Semantic IndexersCode1
Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning—0
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-trainingCode0
The Solution for the CVPR2023 NICE Image Captioning Challenge—0
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCECode0
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual ScreeningCode1
Contrastive Prompt Learning-based Code Search based on Interaction Matrix—0
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic PerspectiveCode1
A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News ArticlesCode0
Antenna Response Consistency Driven Self-supervised Learning for WIFI-based Human Activity Recognition—0
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval—0
Aligning Language Models with Human Preferences via a Bayesian ApproachCode1
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather ConditionsCode1
C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network—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