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 6251–6300 of 10307 papers

TitleStatusHype
Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed DataCode0
Multitask Learning for Emotionally Analyzing Sexual Abuse DisclosuresCode0
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTrackingCode1
Combining Weakly Supervised ML Techniques for Low-Resource NLU—0
Parallel sentences mining with transfer learning in an unsupervised setting—0
Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word EmbeddingCode0
Volta at SemEval-2021 Task 9: Statement Verification and Evidence Finding with Tables using TAPAS and Transfer LearningCode0
Volta at SemEval-2021 Task 6: Towards Detecting Persuasive Texts and Images using Textual and Multimodal EnsembleCode0
OpenBox: A Generalized Black-box Optimization ServiceCode1
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment—0
Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to BanglaCode1
How transfer learning impacts linguistic knowledge in deep NLP models?—0
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest ImagesCode1
A study on the plasticity of neural networks—0
Adaptive Multi-Source Causal Inference—0
Bounded logit attention: Learning to explain image classifiersCode0
Transfer Learning for Sequence Generation: from Single-source to Multi-sourceCode1
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems—0
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts—0
HIT: A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language RepresentationCode0
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based SimulationCode1
Transfer Learning under High-dimensional Generalized Linear Models—0
Deep Learning for EEG Seizure Detection in Preterm Infants—0
Risk-Aware Transfer in Reinforcement Learning using Successor Features—0
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions—0
Knowledge Inheritance for Pre-trained Language ModelsCode1
A systematic review of transfer learning based approaches for diabetic retinopathy detection—0
Cross-Lingual Abstractive Summarization with Limited Parallel ResourcesCode1
A Survey on Anomaly Detection for Technical Systems using LSTM Networks—0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning—0
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications—0
Towards Understanding Knowledge Distillation—0
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching—0
Investigating label suggestions for opinion mining in German Covid-19 social mediaCode0
Extremely low-resource machine translation for closely related languages—0
Neural Network Training Using _1-Regularization and Bi-fidelity Data—0
Generative Adversarial Imitation Learning for Empathy-based AI—0
A Modular and Transferable Reinforcement Learning Framework for the Fleet Rebalancing Problem—0
Using Early-Learning Regularization to Classify Real-World Noisy Data—0
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI—0
Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular RepresentationsCode1
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modelingCode1
Database Workload Characterization with Query Plan EncodersCode0
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification—0
NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains—0
Transfer Learning and Curriculum Learning in Sokoban—0
Towards Compact Single Image Super-Resolution via Contrastive Self-distillationCode1
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture SearchCode1
One4all User Representation for Recommender Systems in E-commerce—0
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients—0
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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