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 9001–9050 of 10307 papers

TitleStatusHype
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in imagesCode0
Bayesian Meta-Learning for Improving Generalizability of Health Prediction Models With Similar Causal MechanismsCode0
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
Exploring Multilingual Syntactic Sentence RepresentationsCode0
Exploring Model Transferability through the Lens of Potential EnergyCode0
Attentive Multi-Task Deep Reinforcement LearningCode0
Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese HokkienCode0
The Arcade Learning Environment: An Evaluation Platform for General AgentsCode0
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal DocumentsCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Deep Face Forgery DetectionCode0
Exploring Driving-aware Salient Object Detection via Knowledge TransferCode0
Growing Neural Network with Shared ParameterCode0
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural NetworksCode0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Causally Abstracted Multi-armed BanditsCode0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
GTNet: Generative Transfer Network for Zero-Shot Object DetectionCode0
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-LearningCode0
Guided Transfer LearningCode0
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)Code0
CaT: Weakly Supervised Object Detection with Category TransferCode0
GVdoc: Graph-based Visual Document ClassificationCode0
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
Hacking Task Confounder in Meta-LearningCode0
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal LocalizationCode0
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain AdaptationCode0
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of ActionsCode0
HANA: A HAndwritten NAme Database for Offline Handwritten Text RecognitionCode0
Spanish TrOCR: Leveraging Transfer Learning for Language AdaptationCode0
Deep Convolution Networks for Compression Artifacts ReductionCode0
SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New CityCode0
Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer LearningCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised LearningCode0
Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulationsCode0
Hardware Conditioned Policies for Multi-Robot Transfer LearningCode0
Semantic-enhanced Co-attention Prompt Learning for Non-overlapping Cross-Domain RecommendationCode0
Parallel Corpus for Indigenous Language Translation: Spanish-Mazatec and Spanish-MixtecCode0
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian OptimizationCode0
Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publicationsCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
AdaRank: Disagreement Based Module Rank Prediction for Low-rank AdaptationCode0
Representation Learning by Learning to CountCode0
Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML DatasetCode0
The iMaterialist Fashion Attribute DatasetCode0
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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