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 4351–4400 of 10307 papers

TitleStatusHype
Crowd-Powered Data Mining—0
CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer Learning—0
A Two-stage Approach for Extending Event Detection to New Types via Neural Networks—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles—0
Cross-user activity recognition via temporal relation optimal transport—0
Cross-Task Representation Learning for Anatomical Landmark Detection—0
A Two stage Adaptive Knowledge Transfer Evolutionary Multi-tasking Based on Population Distribution for Multi/Many-Objective Optimization—0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
A Meta-Learning Approach for Few-Shot (Dis)Agreement Identification in Online Discussions—0
A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data—0
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?—0
How Does Adversarial Fine-Tuning Benefit BERT?—0
Cross-Task Knowledge Distillation in Multi-Task Recommendation—0
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks—0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface—0
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning—0
A Meta-Learning Approach for Custom Model Training—0
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials—0
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning—0
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
Cross-position Activity Recognition with Stratified Transfer Learning—0
Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans—0
Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification—0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models—0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task—0
Adaptive Learning to Speed-Up Control of Prosthetic Hands: a Few Things Everybody Should Know—0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images—0
Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing—0
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning—0
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data—0
Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition—0
Attention Option-Critic—0
A Comparative Analysis Towards Melanoma Classification Using Transfer Learning by Analyzing Dermoscopic Images—0
Homophily and missing links in citation networks—0
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks—0
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR—0
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification—0
Attention module improves both performance and interpretability of 4D fMRI decoding neural network—0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans—0
Attention is All You Need to Optimize Wind Farm Operations and Maintenance—0
A Many Objective Optimization Approach for Transfer Learning in EEG Classification—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