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

Showing 20762100 of 10307 papers

TitleStatusHype
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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Benchmark Results

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