Contrastive Learning
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Benchmarks
Most implemented
A Simple Framework for Contrastive Learning of Visual Representations
Momentum Contrast for Unsupervised Visual Representation Learning
Improved Baselines with Momentum Contrastive Learning
Supervised Contrastive Learning
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Papers
Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning
Software clones are fragments of code that are similar or functionally equivalent to each other. They pose significant challenges for maintenance, refactoring, and bug detection. Detecting Type-IV clones, which are seman…
Representation LearningContrastive LearningRegRet: Enhancing Region-Level Retrieval in Large Multimodal Models
Region-level retrieval aims to align user-specified image regions with relevant regions or textual descriptions, playing a crucial role in realworld applications such as e-commerce product search and RAG. Although recent…
Contrastive LearningEfficient Quantization-Aware Distillation with Cross-Modal Alignment for Edge Vision-Language Models
Large-scale vision-language models (VLM) such as CLIP enable strong open-vocabulary reasoning, yet deploying these capabilities on resource-constrained edge devices remains challenging. EdgeVL addresses this problem by d…
Contrastive LearningCounterfactual Reasoning for Robust Visual Question Answering
Modern Visual Question Answering (VQA) models often exploit spurious correlations in training data, leading to poor out-of-distribution (OOD) generalization due to language bias. Although counterfactual learning has show…
Visual Question AnsweringContrastive LearningVisual GroundingWhich Pretext Task Transfers? Self-Supervised Pretraining Objectives for Lung Ultrasound
Self-supervised learning (SSL) can reduce the need for labelled medical images, but the choice of pretext objective remains unclear for lung ultrasound (LUS). Contrastive learning, masked reconstruction, and joint-embedd…
Self-Supervised LearningContrastive LearningReMoMask-2: Latent Retrieval-Augmented Masked Motion Generation
Text-to-motion (T2M) generation maps natural language to human joint movements, aiding gaming, VR, and robotics. Retrieval-Augmented Text-to-Motion (RAG-T2M) improves generation on complex descriptions by conditioning on…
Contrastive Learning