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 6501–6550 of 10307 papers

TitleStatusHype
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution—0
An Empirical Analysis of Image-Based Learning Techniques for Malware ClassificationCode1
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask BenchmarkCode1
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures—0
Student Network Learning via Evolutionary Knowledge Distillation—0
Fisher Task Distance and Its Application in Neural Architecture SearchCode0
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning—0
Scaling Local Self-Attention for Parameter Efficient Visual BackbonesCode1
Channel Scaling: A Scale-and-Select Approach for Transfer Learning—0
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets—0
MasakhaNER: Named Entity Recognition for African LanguagesCode1
Intra-Inter Camera Similarity for Unsupervised Person Re-IdentificationCode1
Predicting brain-age from raw T 1 -weighted Magnetic Resonance Imaging data using 3D Convolutional Neural NetworksCode0
A Modular and Unified Framework for Detecting and Localizing Video Anomalies—0
Visualization of Deep Transfer Learning In SAR Imagery—0
Transfer learning for automatic brain tumor classification Using MRI Images.—0
ThanosNet: A Novel Trash Classification Method Using MetadataCode0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsCode0
A first step towards automated species recognition from camera trap images of mammals using AI in a European temperate forest—0
Efficient Visual Pretraining with Contrastive DetectionCode1
Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data—0
Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese—0
Domain Generalization using Ensemble Learning—0
Deep Learning-based Extreme Heatwave Forecast—0
Towards Few-Shot Fact-Checking via Perplexity—0
Generation of Realistic Cloud Access Times for Mobile Application Testing using Transfer Learning—0
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using SmartphonesCode1
Transfer Learning for Automated Test Case Prioritization Using XCSFCode0
Online Learning with Radial Basis Function Networks—0
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving—0
Distance Metric-Based Learning with Interpolated Latent Features for Location Classification in Endoscopy Image and Video—0
Cooperative Self-training of Machine Reading ComprehensionCode1
MediaSum: A Large-scale Media Interview Dataset for Dialogue SummarizationCode1
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study—0
Unsupervised Transfer Learning in Multilingual Neural Machine Translation with Cross-Lingual Word Embeddings—0
Best of Both Worlds: Robust Accented Speech Recognition with Adversarial Transfer Learning—0
Energy Decay Network (EDeN)—0
Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing—0
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion RecognitionCode1
A Study of Face Obfuscation in ImageNetCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding—0
Revisiting Model's Uncertainty and Confidences for Adversarial Example DetectionCode0
The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression—0
Uncertainty-aware Incremental Learning for Multi-organ Segmentation—0
Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records—0
Deep Transfer Learning for WiFi Localization—0
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and NobiinCode0
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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