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 5201–5250 of 10307 papers

TitleStatusHype
HistoKT: Cross Knowledge Transfer in Computational PathologyCode0
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task RepresentationCode0
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study—0
Discovering Phonetic Inventories with Crosslingual Automatic Speech RecognitionCode0
Class-Aware Adversarial Transformers for Medical Image Segmentation—0
Gap Minimization for Knowledge Sharing and Transfer—0
Dense Pixel-Labeling for Reverse-Transfer and Diagnostic Learning on Lung Ultrasound for COVID-19 and Pneumonia Detection—0
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG SignalsCode1
Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"—0
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative ModelsCode0
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder NetworksCode1
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer—0
Image-to-Video Re-Identification via Mutual Discriminative Knowledge Transfer—0
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World—0
On the adaptation of recurrent neural networks for system identificationCode1
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges—0
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models—0
An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional FiltersCode1
Revisiting Weakly Supervised Pre-Training of Visual Perception ModelsCode1
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning—0
Cross-Domain Few-Shot Graph ClassificationCode0
Transfer Learning for Fault Diagnosis of Transmission Lines—0
A Review of Deep Transfer Learning and Recent Advancements—0
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channelsCode0
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech—0
Data-Driven Deep Learning Based Hybrid Beamforming for Aerial Massive MIMO-OFDM Systems with Implicit CSI—0
Hierarchical Neural Network Approaches for Long Document Classification—0
Optimizing Active Learning for Low Annotation Budgets—0
Prior Knowledge for Few-shot Learning—Inductive Reasoning and Distribution Calibration—0
Towards a Cleaner Document-Oriented Multilingual Crawled Corpus—0
Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis—0
Growing Neural Network with Shared ParameterCode0
Exploring the Low-Resource Transfer-Learning with mT5 model—0
A Meta-transfer Learning framework for Visually Grounded Compositional Concept Learning—0
One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization—0
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning—0
Pruning Adatperfusion with Lottery Ticket Hypothesis—0
Commonsense Knowledge Transfer for Pre-trained Language Models—0
Multi-way VNMT for UGC: Improving Robustness and Capacity via Mixture Density Networks—0
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision—0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction—0
When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models—0
When does Parameter-Efficient Transfer Learning Work for Machine Translation?—0
Cooperative Self-training of Machine Reading Comprehension—0
An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction—0
Cross-lingual Lifelong Learning—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer—0
Adaptive Transfer Learning for Multi-Label Emotion Classification—0
On Transferability of Prompt Tuning for Natural Language Processing—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