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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 1201–1250 of 10307 papers

TitleStatusHype
Graph Contrastive Learning with AugmentationsCode1
STAR: A Schema-Guided Dialog Dataset for Transfer LearningCode1
Audio-based Near-Duplicate Video Retrieval with Audio Similarity LearningCode1
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous ControlCode1
Self-training for Few-shot Transfer Across Extreme Task DifferencesCode1
Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource LanguageCode1
PANDA: Adapting Pretrained Features for Anomaly Detection and SegmentationCode1
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray ModelsCode1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image ClassificationCode1
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningCode1
Multilingual Knowledge Graph Completion via Ensemble Knowledge TransferCode1
Unsupervised Representation Learning by InvariancePropagationCode1
The Multilingual Amazon Reviews CorpusCode1
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationCode1
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet DatasetCode1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
Practical One-Shot Federated Learning for Cross-Silo SettingCode1
XDA: Accurate, Robust Disassembly with Transfer LearningCode1
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String MatchingCode1
Transfer Learning from Monolingual ASR to Transcription-free Cross-lingual Voice ConversionCode1
Self-grouping Convolutional Neural NetworksCode1
High-throughput molecular imaging via deep learning enabled Raman spectroscopyCode1
MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue SystemsCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
Unsupervised Transfer Learning for Spatiotemporal Predictive NetworksCode1
EEG Channel Interpolation Using Deep Encoder-decoder NetwoksCode1
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less DataCode1
Densely Guided Knowledge Distillation using Multiple Teacher AssistantsCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Critical Thinking for Language ModelsCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
Transfer Learning of Graph Neural Networks with Ego-graph Information MaximizationCode1
Transfer Graph Neural Networks for Pandemic ForecastingCode1
Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networksCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CTCode1
GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised LearningCode1
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Comparative Evaluation of Pretrained Transfer Learning Models on Automatic Short Answer GradingCode1
A Survey on Negative TransferCode1
Learning to Localize Actions from MomentsCode1
Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its SeverityCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
AKHCRNet: Bengali Handwritten Character Recognition Using Deep LearningCode1
Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language IntentCode1
What is being transferred in transfer learning?Code1
FastSal: a Computationally Efficient Network for Visual Saliency PredictionCode1
Graphical Object Detection in Document ImagesCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
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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