Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 776–800 of 10307 papers

Title	Date	Tasks	Status	Hype
SecureBERT: A Domain-Specific Language Model for Cybersecurity	Apr 6, 2022	Language ModelingLanguage Modelling	CodeCode Available	1
A Unified Framework for Domain Adaptive Pose Estimation	Apr 1, 2022	2D Pose EstimationAnimal Pose Estimation	CodeCode Available	1
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy	Mar 31, 2022	DiversitySelf-Supervised Learning	CodeCode Available	1
Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes	Mar 31, 2022	Transfer Learning	CodeCode Available	1
A fuzzy distance-based ensemble of deep models for cervical cancer detection	Mar 30, 2022	Image ClassificationTransfer Learning	CodeCode Available	1
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset	Mar 29, 2022	Breast Cancer DetectionBreast Cancer Histology Image Classification	CodeCode Available	1
Parameter-efficient Model Adaptation for Vision Transformers	Mar 29, 2022	BenchmarkingClassification	CodeCode Available	1
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model	Mar 28, 2022	image-classificationImage Classification	CodeCode Available	1
Mugs: A Multi-Granular Self-Supervised Learning Framework	Mar 27, 2022	Contrastive LearningSelf-Supervised Image Classification	CodeCode Available	1
GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection	Mar 26, 2022	DecoderHuman-Object Interaction Detection	CodeCode Available	1
DeLoRes: Decorrelating Latent Spaces for Low-Resource Audio Representation Learning	Mar 25, 2022	Representation LearningSelf-Supervised Learning	CodeCode Available	1
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks	Mar 25, 2022	Incremental LearningKnowledge Distillation	CodeCode Available	1
Cross-Domain Few-Shot Semantic Segmentation	Mar 24, 2022	Cross-Domain Few-ShotFew-Shot Semantic Segmentation	CodeCode Available	1
Efficient Few-Shot Object Detection via Knowledge Inheritance	Mar 23, 2022	Few-Shot Object DetectionObject	CodeCode Available	1
Transformer-based HTR for Historical Documents	Mar 21, 2022	HTRTransfer Learning	CodeCode Available	1
CLIP meets GamePhysics: Towards bug identification in gameplay videos using zero-shot transfer learning	Mar 21, 2022	Event DetectionTransfer Learning	CodeCode Available	1
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport	Mar 20, 2022	Graph ClassificationGraph Learning	CodeCode Available	1
Continual Sequence Generation with Adaptive Compositional Modules	Mar 20, 2022	Continual LearningTransfer Learning	CodeCode Available	1
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning	Mar 20, 2022	Transfer LearningWord Embeddings	CodeCode Available	1
Learning Affordance Grounding from Exocentric Images	Mar 18, 2022	DiversityHuman-Object Interaction Detection	CodeCode Available	1
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series	Mar 17, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
DocXClassifier: High Performance Explainable Deep Network for Document Image Classification	Mar 17, 2022	ClassificationData Augmentation	CodeCode Available	1
SATS: Self-Attention Transfer for Continual Semantic Segmentation	Mar 15, 2022	Continual Semantic SegmentationKnowledge Distillation	CodeCode Available	1
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence	Mar 15, 2022	Activity RecognitionFederated Learning	CodeCode Available	1
Continual Prompt Tuning for Dialog State Tracking	Mar 13, 2022	Continual Learningdialog state tracking	CodeCode Available	1

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All datasets Office-Home 100 sleep nights of 8 caregivers BanglaLekha Isolated Dataset COCO70 KITTI Object Tracking Evaluation 2012 Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	APCLIP	Accuracy	84.2	—	Unverified
2	DFA-ENT	Accuracy	69.2	—	Unverified
3	DFA-SAFN	Accuracy	69.1	—	Unverified
4	EasyTL	Accuracy	63.3	—	Unverified
5	MEDA	Accuracy	60.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	10-20% Mask PSNR	3.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Chatterjee, Dutta et al.[1]	Accuracy	96.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Co-Tuning	Accuracy	85.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Physical Access	EER	5.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	riadd.aucmedi	AUROC	0.95	—	Unverified