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 8701–8750 of 10307 papers

TitleStatusHype
\'Etude de l'apprentissage par transfert de syst\`emes de traduction automatique neuronaux (Study on transfer learning in neural machine translation )—0
Exploration de l'apprentissage par transfert pour l'analyse de textes des r\'eseaux sociaux (Exploring neural transfer learning for social media text analysis )—0
Learning Transferable Feature Representations Using Neural Networks—0
Convolutional Neural Networks for Financial Text Regression—0
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings—0
Celebrity ProfilingCode0
Large-Scale Transfer Learning for Natural Language GenerationCode0
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
Cross-Domain NER using Cross-Domain Language ModelingCode0
Hierarchical Transfer Learning for Multi-label Text Classification—0
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages—0
Toward Comprehensive Understanding of a Sentiment Based on Human MotivesCode0
Transfer Capsule Network for Aspect Level Sentiment ClassificationCode0
Soft Representation Learning for Sparse Transfer—0
Dynamically Composing Domain-Data Selection with Clean-Data Selection by ``Co-Curricular Learning'' for Neural Machine Translation—0
On mechanisms for transfer using landmark value functions in multi-task lifelong reinforcement learning—0
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer LearningCode0
NetTailor: Tuning the Architecture, Not Just the WeightsCode0
Supervised Contextual Embeddings for Transfer Learning in Natural Language Processing TasksCode0
Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNNCode1
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches—0
Mind2Mind : transfer learning for GANsCode0
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving—0
Compositional Transfer in Hierarchical Reinforcement Learning—0
Task-Driven Common Representation Learning via Bridge Neural Network—0
Emotion Recognition Using Fusion of Audio and Video Features—0
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging—0
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia—0
Transfer Learning for Segmenting Dimensionally-Reduced Hyperspectral Images—0
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities—0
Joint Detection of Malicious Domains and Infected Clients—0
Zero-shot Learning and Knowledge Transfer in Music Classification and Tagging—0
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents—0
Evaluating Protein Transfer Learning with TAPECode1
Surf at MEDIQA 2019: Improving Performance of Natural Language Inference in the Clinical Domain by Adopting Pre-trained Language Model—0
Crop Lodging Prediction from UAV-Acquired Images of Wheat and Canola using a DCNN Augmented with Handcrafted Texture FeaturesCode0
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability—0
Better transfer learning with inferred successor maps—0
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive ProcessesCode1
Locality Preserving Joint Transfer for Domain AdaptationCode0
Transfer Learning for Causal Sentence DetectionCode1
Universal Successor Features Based Deep Reinforcement Learning for Navigation—0
Low-resource Deep Entity Resolution with Transfer and Active Learning—0
Learning Execution through Neural Code Fusion—0
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models—0
RailSem19: A Dataset for Semantic Rail Scene Understanding—0
Injecting Prior Knowledge for Transfer Learning into Reinforcement Learning Algorithms using Logic Tensor Networks—0
Membership Privacy for Machine Learning Models Through Knowledge Transfer—0
Attention-based Modeling for Emotion Detection and Classification in Textual Conversations—0
A Simple and Effective Approach to Automatic Post-Editing with Transfer LearningCode1
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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