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 4251–4300 of 10307 papers

TitleStatusHype
NLP-CIC-WFU at SocialDisNER: Disease Mention Extraction in Spanish Tweets Using Transfer Learning and Search by Propagation—0
Transfer Learning Improves French Cross-Domain Dialect Identification: NRC @ VarDial 2022—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection—0
Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun EntailmentCode0
Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document RetrievalCode0
Transferring Confluent Knowledge to Argument MiningCode0
Improving Commonsense Contingent Reasoning by Pseudo-data and Its Application to the Related Tasks—0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Argument Novelty and Validity Assessment via Multitask and Transfer Learning—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
MECI: A Multilingual Dataset for Event Causality IdentificationCode0
Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning—0
Continual Few-shot Intent Detection—0
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?Code0
Continually Detection, Rapidly React: Unseen Rumors Detection Based on Continual Prompt-Tuning—0
Cluster-aware Pseudo-Labeling for Supervised Open Relation ExtractionCode0
Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model CompressionCode0
Language Branch Gated Multilingual Neural Machine Translation—0
How to Parse a Creole: When Martinican Creole Meets French—0
Supervised Contrastive Learning for Cross-lingual Transfer Learning—0
基于知识迁移的情感-原因对抽取(Emotion-Cause Pair Extraction Based on Knowledge-Transfer)—0
Transfer Learning for Individual Treatment Effect Estimation—0
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
Towards a Unified View of Affinity-Based Knowledge Distillation—0
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models—0
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods—0
How to tackle an emerging topic? Combining strong and weak labels for Covid news NERCode0
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image SegmentationCode2
Hyper-Representations as Generative Models: Sampling Unseen Neural Network WeightsCode1
Facial Landmark Predictions with Applications to MetaverseCode0
Bidirectional Language Models Are Also Few-shot Learners—0
Cyclegan Network for Sheet Metal Welding Drawing Translation—0
Learning Deep Representations via Contrastive Learning for Instance Retrieval—0
Data Augmentation using Feature Generation for Volumetric Medical Images—0
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free AttentionCode1
Transfer Learning with Pretrained Remote Sensing TransformersCode1
Regularized Soft Actor-Critic for Behavior Transfer Learning—0
SmartFPS: Neural Network based Wireless-inertial fusion positioning system—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide ImagesCode0
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning—0
Habitat classification from satellite observations with sparse annotations—0
Self-supervised similarity models based on well-logging data—0
YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)—0
Transfer learning for self-supervised, blind-spot seismic denoising—0
An Empirical Study on Cross-X Transfer for Legal Judgment PredictionCode1
Contrastive learning for unsupervised medical image clustering and reconstruction—0
Transformer-Based Microbubble Localization—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