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 19011950 of 10307 papers

TitleStatusHype
Histogram-based Parameter-efficient Tuning for Passive Sonar ClassificationCode0
Historical Document Image Segmentation with LDA-Initialized Deep Neural NetworksCode0
HOUDINI: Lifelong Learning as Program SynthesisCode0
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer LearningCode0
Learning to Prompt Knowledge Transfer for Open-World Continual LearningCode0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Is One Teacher Model Enough to Transfer Knowledge to a Student Model?Code0
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage PerspectiveCode0
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive LearningCode0
Learning unbiased zero-shot semantic segmentation networks via transductive transferCode0
Can Modifying Data Address Graph Domain Adaptation?Code0
Hierarchical transfer learning with applications for electricity load forecastingCode0
HierarchicalContrast: A Coarse-to-Fine Contrastive Learning Framework for Cross-Domain Zero-Shot Slot FillingCode0
Advancing Compressed Video Action Recognition through Progressive Knowledge DistillationCode0
A Systematic Comparison of Architectures for Document-Level Sentiment ClassificationCode0
Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random ForestsCode0
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate DatasetsCode0
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson RegressionCode0
Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing ImageryCode0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Can a powerful neural network be a teacher for a weaker neural network?Code0
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language ModelsCode0
HASOCOne@FIRE-HASOC2020: Using BERT and Multilingual BERT models for Hate Speech DetectionCode0
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGANCode0
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer LearningCode0
Combined Model for Partially-Observable and Non-Observable Task Switching: Solving Hierarchical Reinforcement Learning Problems Statically and Dynamically with Transfer LearningCode0
HANA: A HAndwritten NAme Database for Offline Handwritten Text RecognitionCode0
Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulationsCode0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of ActionsCode0
Hardware Conditioned Policies for Multi-Robot Transfer LearningCode0
Hacking Task Confounder in Meta-LearningCode0
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual imagesCode0
Artificial Color Constancy via GoogLeNet with Angular Loss FunctionCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal LocalizationCode0
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publicationsCode0
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot LearningCode0
GTNet: Generative Transfer Network for Zero-Shot Object DetectionCode0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
A Framework of Transfer Learning in Object Detection for Embedded SystemsCode0
Lightweight and Robust Representation of Economic Scales from Satellite ImageryCode0
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object ClassificationCode0
Growing Neural Network with Shared ParameterCode0
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and NobiinCode0
Guided Transfer LearningCode0
CADE: Cosine Annealing Differential Evolution for Spiking Neural NetworkCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
GVdoc: Graph-based Visual Document ClassificationCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
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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