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 1301–1325 of 10307 papers

Title	Date	Tasks	Status	Hype
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning	Nov 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Improved Regularization and Robustness for Fine-tuning in Neural Networks	Nov 8, 2021	image-classificationImage Classification	CodeCode Available	1
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	Mar 4, 2021	Atari GamesComputational Efficiency	CodeCode Available	1
Improving Contrastive Learning of Sentence Embeddings from AI Feedback	May 3, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Improving few-shot learning-based protein engineering with evolutionary sampling	May 23, 2023	Few-Shot LearningProtein Design	CodeCode Available	1
Automatic identification of segmentation errors for radiotherapy using geometric learning	Jun 27, 2022	Graph Neural NetworkSelf-Supervised Learning	CodeCode Available	1
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness	Feb 7, 2020	Adversarial AttackAdversarial Robustness	CodeCode Available	1
No Reason for No Supervision: Improved Generalization in Supervised Models	Jun 30, 2022	Data AugmentationSelf-Supervised Learning	CodeCode Available	1
Improving Transferability of Representations via Augmentation-Aware Self-Supervision	Nov 18, 2021	Representation LearningTransfer Learning	CodeCode Available	1
Improving weakly supervised sound event detection with self-supervised auxiliary tasks	Jun 12, 2021	DecoderEvent Detection	CodeCode Available	1
Inductive Matrix Completion Based on Graph Neural Networks	Apr 26, 2019	Graph Neural NetworkMatrix Completion	CodeCode Available	1
Industrial Language-Image Dataset (ILID): Adapting Vision Foundation Models for Industrial Settings	Jun 14, 2024	Transfer Learning	CodeCode Available	1
Chip Placement with Deep Reinforcement Learning	Apr 22, 2020	Deep Reinforcement Learningreinforcement-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
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones	Mar 16, 2021	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Intra-Inter Camera Similarity for Unsupervised Person Re-Identification	Mar 22, 2021	Person Re-IdentificationPseudo Label	CodeCode Available	1
Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets	Oct 22, 2020	ArticlesBenchmarking	CodeCode Available	1
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference	Jun 7, 2021	Cross-Lingual TransferNatural Language Inference	CodeCode Available	1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation	May 7, 2020	Low Resource NMTMachine Translation	CodeCode Available	1
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis	Oct 19, 2021	3D-Aware Image SynthesisImage Generation	CodeCode Available	1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Jul 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion	Apr 28, 2020	Knowledge GraphsTransfer Learning	CodeCode Available	1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization	Jun 9, 2022	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Matrix Information Theory for Self-Supervised Learning	May 27, 2023	Contrastive LearningGSM8K	CodeCode Available	1
CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning	Dec 11, 2020	Electron Microscopy Image SegmentationSegmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 53 of 413Next →

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