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 7751–7800 of 10307 papers

TitleStatusHype
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching—0
Semi-Supervised Learning Approach to Discover Enterprise User Insights from Feedback and Support—0
Domain2Vec: Domain Embedding for Unsupervised Domain AdaptationCode0
Multi-Stage Influence Function—0
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis—0
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge—0
ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data—0
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources—0
Transfer Deep Reinforcement Learning-enabled Energy Management Strategy for Hybrid Tracked Vehicle—0
Vehicle Detection of Multi-source Remote Sensing Data Using Active Fine-tuning Network—0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs—0
Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios—0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
Visualizing Transfer Learning—0
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models—0
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer—0
Representation Transfer by Optimal Transport—0
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing—0
Data-driven geophysics: from dictionary learning to deep learning—0
Transfer Learning for Activity Recognition in Mobile HealthCode0
Transfer learning extensions for the probabilistic classification vector machine—0
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation—0
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning—0
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning—0
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization—0
Transformations between deep neural networks—0
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures—0
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer—0
Robust Learning with Frequency Domain Regularization—0
The curious case of developmental BERTology: On sparsity, transfer learning, generalization and the brain—0
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayErCode0
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation using Pretraining Language Model—0
robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots—0
Deep Learning for Apple Diseases: Classification and Identification—0
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions—0
Transfer Learning for Electricity Price ForecastingCode0
DRDr: Automatic Masking of Exudates and Microaneurysms Caused By Diabetic Retinopathy Using Mask R-CNN and Transfer Learning—0
El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC TasksCode0
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review—0
On the application of transfer learning in prognostics and health management—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
Hybrid deep learning architecture for general disruption prediction across tokamaks—0
Learn Faster and Forget Slower via Fast and Stable Task Adaptation—0
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization—0
In Neural Machine Translation, What Does Transfer Learning Transfer?—0
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity—0
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks—0
NLP-based Feature Extraction for the Detection of COVID-19 Misinformation Videos on YouTubeCode0
Learning unbiased zero-shot semantic segmentation networks via transductive transferCode0
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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