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 5801–5850 of 6661 papers

TitleStatusHype
On the Perception Bottleneck of VLMs for Chart UnderstandingCode0
An Analysis of Robustness of Non-Lipschitz NetworksCode0
Crowdsourcing and Evaluating Text-Based Audio Retrieval RelevancesCode0
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic ImagesCode0
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural TextCode0
Rethinking Robust Contrastive Learning from the Adversarial PerspectiveCode0
On the Role of Discrete Tokenization in Visual Representation LearningCode0
Cross-view Semantic Alignment for Livestreaming Product RecognitionCode0
Large-Scale Hyperspectral Image Clustering Using Contrastive LearningCode0
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small ModelsCode0
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive LearningCode0
Cross-Task Consistency Learning Framework for Multi-Task LearningCode0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
Simplifying Open-Set Video Domain Adaptation with Contrastive LearningCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual TranslationCode0
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point CloudsCode0
OpenCarbon: A Contrastive Learning-based Cross-Modality Neural Approach for High-Resolution Carbon Emission Prediction Using Open DataCode0
Language Agnostic Multilingual Information Retrieval with Contrastive LearningCode0
OpenDriver: An Open-Road Driver State Detection DatasetCode0
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction FollowingCode0
Cross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalCode0
SimVTP: Simple Video Text Pre-training with Masked AutoencodersCode0
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsCode0
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive LearningCode0
Cross-Modal Contrastive Learning for Robust Reasoning in VQACode0
Open-Vocabulary Mobile Manipulation Based on Double Relaxed Contrastive Learning with Dense LabelingCode0
Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive RegressionCode0
Label Refinement via Contrastive Learning for Distantly-Supervised Named Entity RecognitionCode0
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech DetectionCode0
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative FilteringCode0
Knowledge-aware Dual-side Attribute-enhanced RecommendationCode0
Knowing Where and What: Unified Word Block Pretraining for Document UnderstandingCode0
Keypoint Aware Masked Image ModellingCode0
Augment with Care: Contrastive Learning for Combinatorial ProblemsCode0
Crossmodal clustered contrastive learning: Grounding of spoken language to gestureCode0
Single-View Graph Contrastive Learning with Soft Neighborhood AwarenessCode0
Key Point Analysis via Contrastive Learning and Extractive Argument SummarizationCode0
Optimizing contrastive learning for cortical folding pattern detectionCode0
Unsupervised Facial Expression Representation Learning with Contrastive Local WarpingCode0
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point CloudCode0
What Constitutes Good Contrastive Learning in Time-Series Forecasting?Code0
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive LearningCode0
Attention-based Contrastive Learning for Winograd SchemasCode0
Attention-Based Audio Embeddings for Query-by-ExampleCode0
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption RetrievalCode0
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource LanguagesCode0
Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-IdentificationCode0
Cross-lingual Contextualized Phrase RetrievalCode0
Towards Ontology-Enhanced Representation Learning for Large Language ModelsCode0
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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