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 9951–9975 of 10307 papers

Title	Date	Tasks	Status
On the Language Neutrality of Pre-trained Multilingual Representations	Apr 9, 2020	Language IdentificationTransfer Learning	CodeCode Available
On The Power of Curriculum Learning in Training Deep Networks	Apr 7, 2019	Transfer Learning	CodeCode Available
On the Use of External Data for Spoken Named Entity Recognition	Dec 14, 2021	Knowledge Distillationnamed-entity-recognition	CodeCode Available
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case	Apr 25, 2024	Transfer Learning	CodeCode Available
On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition	May 3, 2019	General ClassificationTime Series Analysis	CodeCode Available
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies	Feb 24, 2022	Cross-Lingual TransferLanguage Modeling	CodeCode Available
Open Continual Feature Selection via Granular-Ball Knowledge Transfer	Mar 15, 2024	Continual Learningfeature selection	CodeCode Available
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data	Nov 1, 2019	RelationRelation Extraction	CodeCode Available
OptAGAN: Entropy-based finetuning on text VAE-GAN	Sep 1, 2021	DecoderDiversity	CodeCode Available
Optimal Projection Guided Transfer Hashing for Image Retrieval	Mar 1, 2019	Image RetrievalRetrieval	CodeCode Available
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer	Jun 22, 2022	Reinforcement Learning (RL)Transfer Learning	CodeCode Available
Optimization with Access to Auxiliary Information	Jun 1, 2022	Federated LearningTransfer Learning	CodeCode Available
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models	Aug 13, 2023	Brain Tumor ClassificationTransfer Learning	CodeCode Available
Optimizing Mario Adventures in a Constrained Environment	Dec 14, 2023	Domain AdaptationTransfer Learning	CodeCode Available
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models	Oct 7, 2020	Hard AttentionQuantization	CodeCode Available
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning	Sep 20, 2017	continuous-controlContinuous Control	CodeCode Available
Orientation recognition and correction of Cardiac MRI with deep neural network	Nov 21, 2022	Transfer Learning	CodeCode Available
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains	Feb 8, 2019	3D Object RecognitionObject	CodeCode Available
Overcoming Barriers to Skill Injection in Language Modeling: Case Study in Arithmetic	Nov 3, 2022	Arithmetic ReasoningLanguage Modeling	CodeCode Available
Overwriting Pretrained Bias with Finetuning Data	Mar 10, 2023	AttributeTransfer Learning	CodeCode Available
Overcoming Catastrophic Forgetting by Incremental Moment Matching	Mar 24, 2017	Transfer Learning	CodeCode Available
Overcoming Small Minirhizotron Datasets Using Transfer Learning	Mar 22, 2019	SegmentationTransfer Learning	CodeCode Available
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning	Feb 2, 2023	Transfer Learning	CodeCode Available
Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-Mixtec	May 27, 2023	Few-Shot LearningMachine Translation	CodeCode Available
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models	Sep 4, 2023	Reinforcement Learning (RL)Transfer Learning	CodeCode Available

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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