SOTAVerified

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

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Showing 2051–2100 of 10307 papers

TitleStatusHype
GVdoc: Graph-based Visual Document ClassificationCode0
An Information-Geometric Distance on the Space of TasksCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Brain age prediction using deep learning uncovers associated sequence variantsCode0
A domain adaptation neural network for digital twin-supported fault diagnosisCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publicationsCode0
Bounded logit attention: Learning to explain image classifiersCode0
GreekBART: The First Pretrained Greek Sequence-to-Sequence ModelCode0
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot DetectionCode0
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation SystemsCode0
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuningCode0
Bootstrapping the Performance of Webly Supervised Semantic SegmentationCode0
Adjustment for Confounding using Pre-Trained RepresentationsCode0
Graph Neural Networks for Surfactant Multi-Property PredictionCode0
Animal Detection in Man-made EnvironmentsCode0
Graph Few-shot Learning via Knowledge TransferCode0
Graph Constrained Data Representation Learning for Human Motion SegmentationCode0
ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language ModelCode0
Graph-based Knowledge Distillation by Multi-head Attention NetworkCode0
GraphBridge: Towards Arbitrary Transfer Learning in GNNsCode0
Graph Distillation for Action Detection with Privileged ModalitiesCode0
GPT-3 Models are Poor Few-Shot Learners in the Biomedical DomainCode0
Google Vizier: A Service for Black-Box OptimizationCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Gotta Learn Fast: A New Benchmark for Generalization in RLCode0
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationCode0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
Boosting Handwriting Text Recognition in Small Databases with Transfer LearningCode0
A Diffusion Model and Knowledge Distillation Framework for Robust Coral Detection in Complex Underwater EnvironmentsCode0
Going Extreme: Comparative Analysis of Hate Speech in Parler and GabCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Boosting Data Analytics With Synthetic Volume ExpansionCode0
AdeNet: Deep learning architecture that identifies damaged electrical insulators in power linesCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
GKT: A Novel Guidance-Based Knowledge Transfer Framework For Efficient Cloud-edge Collaboration LLM DeploymentCode0
Global Safe Sequential Learning via Efficient Knowledge TransferCode0
Latent-Optimized Adversarial Neural Transfer for Sarcasm DetectionCode0
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases AutosegmentationCode0
Bone Fracture Classification using Transfer LearningCode0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine TranslationCode0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
GenTL: A General Transfer Learning Model for Building Thermal DynamicsCode0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech ProcessingCode0
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary LabelsCode0
BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot CaptioningCode0
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All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified