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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4451–4460 of 6661 papers

Title	Date	Tasks	Status
Gastrointestinal Disease Classification through Explainable and Cost-Sensitive Deep Neural Networks with Supervised Contrastive Learning	Jul 14, 2023	ClassificationContrastive Learning	CodeCode Available
QontSum: On Contrasting Salient Content for Query-focused Summarization	Jul 14, 2023	Answer GenerationContrastive Learning	—Unverified
Composition-contrastive Learning for Sentence Embeddings	Jul 14, 2023	Contrastive LearningSemantic Textual Similarity	CodeCode Available
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation	Jul 13, 2023	Action RecognitionContrastive Learning	—Unverified
Multi-view self-supervised learning for multivariate variable-channel time series	Jul 13, 2023	Contrastive LearningEEG	CodeCode Available
Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt	Jul 12, 2023	Contrastive Learning	—Unverified
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning	Jul 12, 2023	Contrastive LearningEEG	—Unverified
The Whole Pathological Slide Classification via Weakly Supervised Learning	Jul 12, 2023	ClassificationContrastive Learning	—Unverified
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction	Jul 11, 2023	Autonomous DrivingContrastive Learning	—Unverified
Class Instance Balanced Learning for Long-Tailed Classification	Jul 11, 2023	ClassificationContrastive Learning	—Unverified

Show:10 25 50

← PrevPage 446 of 667Next →

All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified