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 601–625 of 10307 papers

Title	Date	Tasks	Status	Hype
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients	Jan 1, 2023	Federated LearningSST-2	CodeCode Available	1
StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models	Dec 29, 2022	Data Augmentationtext-to-speech	CodeCode Available	1
Swin MAE: Masked Autoencoders for Small Datasets	Dec 28, 2022	Medical Image AnalysisTransfer Learning	CodeCode Available	1
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning	Dec 21, 2022	SensitivityTransfer Learning	CodeCode Available	1
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection	Dec 17, 2022	feature selectionTransfer Learning	CodeCode Available	1
Non-IID Transfer Learning on Graphs	Dec 15, 2022	Generalization BoundsGRAPH DOMAIN ADAPTATION	CodeCode Available	1
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model	Dec 14, 2022	image-classificationImage Classification	CodeCode Available	1
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining	Dec 13, 2022	PositionPrivacy Preserving	CodeCode Available	1
Towards Practical Plug-and-Play Diffusion Models	Dec 12, 2022	Depth EstimationImage Generation	CodeCode Available	1
Resolving Semantic Confusions for Improved Zero-Shot Detection	Dec 12, 2022	Generalized Zero-Shot Object DetectionObject Detection	CodeCode Available	1
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations	Dec 9, 2022	Transfer Learning	CodeCode Available	1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation	Dec 8, 2022	Low Resource Neural Machine TranslationLow-Resource Neural Machine Translation	CodeCode Available	1
FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer	Dec 6, 2022	8kTransfer Learning	CodeCode Available	1
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning	Dec 6, 2022	parameter-efficient fine-tuningTransfer Learning	CodeCode Available	1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation	Dec 5, 2022	Domain AdaptationImage Segmentation	CodeCode Available	1
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation Forecasting	Dec 3, 2022	Transfer Learning	CodeCode Available	1
Finetune like you pretrain: Improved finetuning of zero-shot vision models	Dec 1, 2022	DescriptiveFew-Shot Learning	CodeCode Available	1
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format	Nov 30, 2022	Reinforcement Learning (RL)Transfer Learning	CodeCode Available	1
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains	Nov 29, 2022	blind source separationGesture Recognition	CodeCode Available	1
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs	Nov 29, 2022	Knowledge GraphsTransfer Learning	CodeCode Available	1
Reinforced Genetic Algorithm for Structure-based Drug Design	Nov 28, 2022	Combinatorial OptimizationDrug Design	CodeCode Available	1
Unsupervised Continual Semantic Adaptation through Neural Rendering	Nov 25, 2022	Domain AdaptationNeRF	CodeCode Available	1
XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning	Nov 25, 2022	Action ClassificationClassification	CodeCode Available	1
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization	Nov 24, 2022	Deep LearningGeneralization Bounds	CodeCode Available	1
Understanding and Improving Visual Prompting: A Label-Mapping Perspective	Nov 21, 2022	Transfer LearningVisual Prompting	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