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 1876–1900 of 10307 papers

Title	Date	Tasks	Status	Score
Can Unsupervised Knowledge Transfer from Social Discussions Help Argument Mining?	Mar 24, 2022	Argument MiningLanguage Modeling	CodeCode Available	5
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot Filling	Oct 13, 2023	Contrastive Learningslot-filling	CodeCode Available	5
Learning Adversarially Fair and Transferable Representations	Feb 17, 2018	FairnessRepresentation Learning	CodeCode Available	5
A Systematic Comparison of Architectures for Document-Level Sentiment Classification	Feb 19, 2020	ClassificationDocument Classification	CodeCode Available	5
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGAN	May 20, 2024	Generative Adversarial NetworkImage Segmentation	CodeCode Available	5
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation	Dec 24, 2024	Computational EfficiencyHandwritten Text Recognition	CodeCode Available	5
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes	Apr 23, 2020	Gaussian Processesregression	CodeCode Available	5
Invariant Models for Causal Transfer Learning	Jul 19, 2015	Domain GeneralizationTransfer Learning	CodeCode Available	5
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective	Feb 26, 2025	Computational EfficiencyTransfer Learning	CodeCode Available	5
HCR-Net: A deep learning based script independent handwritten character recognition network	Aug 15, 2021	Image AugmentationTransfer Learning	CodeCode Available	5
Can Modifying Data Address Graph Domain Adaptation?	Jul 27, 2024	Domain AdaptationGRAPH DOMAIN ADAPTATION	CodeCode Available	5
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications	Nov 14, 2024	Information RetrievalRAG	CodeCode Available	5
Hardware Conditioned Policies for Multi-Robot Transfer Learning	Nov 24, 2018	Deep Reinforcement LearningIndustrial Robots	CodeCode Available	5
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks	Oct 3, 2019	Few-Shot Image ClassificationGeneral Classification	CodeCode Available	5
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation	Jul 2, 2024	Action RecognitionKnowledge Distillation	CodeCode Available	5
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech Detection	Jan 22, 2021	Hate Speech DetectionTransfer Learning	CodeCode Available	5
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features	Jul 3, 2024	Image RetrievalRetrieval	CodeCode Available	5
Cogni-Net: Cognitive Feature Learning through Deep Visual Perception	Nov 1, 2018	EEGElectroencephalogram (EEG)	CodeCode Available	5
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions	Apr 1, 2023	Action RecognitionContrastive Learning	CodeCode Available	5
HANA: A HAndwritten NAme Database for Offline Handwritten Text Recognition	Jan 22, 2021	Handwritten Text RecognitionTransfer Learning	CodeCode Available	5
CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP	May 1, 2022	SentenceTransfer Learning	CodeCode Available	5
Hacking Task Confounder in Meta-Learning	Dec 10, 2023	Meta-LearningTransfer Learning	CodeCode Available	5
Learning Hyperparameters via a Data-Emphasized Variational Objective	Feb 3, 2025	Gaussian ProcessesImage Classification	CodeCode Available	5
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language Models	Dec 7, 2023	Multi-Task LearningPassage Retrieval	CodeCode Available	5
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization	Dec 26, 2017	Action ClassificationAction Localization	CodeCode Available	5

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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