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 321–330 of 10307 papers

Title	Date	Tasks	Status	Hype
A Competition Winning Deep Reinforcement Learning Agent in microRTS	Feb 12, 2024	Deep Reinforcement LearningImitation Learning	CodeCode Available	1
A Whisper transformer for audio captioning trained with synthetic captions and transfer learning	May 15, 2023	Audio captioningSpeech-to-Text	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
Bilevel Continual Learning	Jul 30, 2020	Bilevel OptimizationContinual Learning	CodeCode Available	1
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation	Jun 6, 2020	DecoderImage Captioning	CodeCode Available	1
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface	Jan 6, 2022	Brain Computer InterfaceData Augmentation	CodeCode Available	1
Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty	May 4, 2023	Knowledge Distillationobject-detection	CodeCode Available	1
Automatic identification of segmentation errors for radiotherapy using geometric learning	Jun 27, 2022	Graph Neural NetworkSelf-Supervised Learning	CodeCode Available	1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning	Feb 13, 2023	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	1
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning	Sep 13, 2017	Cloud ComputingDeep Reinforcement Learning	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