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 8501–8550 of 10307 papers

TitleStatusHype
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech—0
Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models—0
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model—0
Not again! Data Leakage in Digital Pathology—0
musicnn: Pre-trained convolutional neural networks for music audio taggingCode0
Multi-view and Multi-source Transfers in Neural Topic Modeling with Pretrained Topic and Word Embeddings—0
A Universal Parent Model for Low-Resource Neural Machine Translation Transfer—0
Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training—0
A Gated Self-attention Memory Network for Answer SelectionCode0
A Knowledge Transfer Framework for Differentially Private Sparse Learning—0
Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Differentially Private Meta-Learning—0
Estimating encoding models of cortical auditory processing using naturalistic stimuli and transfer learningCode0
Functional Annotation of Human Cognitive States using Graph Convolution Networks—0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Frustratingly Easy Natural Question Answering—0
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices—0
Semi-supervised Vector-valued Learning: Improved Bounds and AlgorithmsCode0
Knowledge Transfer Graph for Deep Collaborative LearningCode0
Swapped Face Detection using Deep Learning and Subjective Assessment—0
Transfer of Temporal Logic Formulas in Reinforcement Learning—0
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale—0
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?—0
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis—0
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language ModelsCode0
Transferable Neural Processes for Hyperparameter Optimization—0
Recognition Of Surface Defects On Steel Sheet Using Transfer Learning—0
Video Surveillance of Highway Traffic Events by Deep Learning Architectures—0
Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning—0
Investigating Multilingual NMT Representations at Scale—0
Learning Action-Transferable Policy with Action EmbeddingCode0
A Transfer Learning Approach for Network Intrusion Detection—0
Effective Domain Knowledge Transfer with Soft Fine-tuning—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Graph Transfer Learning via Adversarial Domain Adaptation with Graph ConvolutionCode0
ACES -- Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning—0
Tensor Analysis with n-Mode Generalized Difference SubspaceCode0
Transfer Fine-Tuning: A BERT Case StudyCode0
Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples—0
Personalizing Smartwatch Based Activity Recognition Using Transfer Learning—0
Generalization in Transfer Learning—0
A CNN-based approach to classify cricket bowlers based on their bowling actions—0
Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data—0
The Woman Worked as a Babysitter: On Biases in Language GenerationCode1
NITK-IT_NLP@NSURL2019: Transfer Learning based POS Tagger for Under Resourced Bhojpuri and Magahi Language—0
Cross-Domain Training for Goal-Oriented Conversational Agents—0
Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus—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