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 6201–6250 of 10307 papers

TitleStatusHype
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps—0
Learning to Generalize Compositionally by Transferring Across Semantic Parsing TasksCode0
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy—0
Speaker Generation—0
Open-Set Crowdsourcing using Multiple-Source Transfer Learning—0
Action Recognition using Transfer Learning and Majority Voting for CSGO—0
Convolutional Gated MLP: Combining Convolutions & gMLP—0
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms—0
Data Selection for Efficient Model Update in Federated Learning—0
Sexism Identification in Tweets and Gabs using Deep Neural Networks—0
Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline—0
Successor Feature Neural Episodic Control—0
Skin Cancer Classification using Inception Network and Transfer Learning—0
On the Application of Data-Driven Deep Neural Networks in Linear and Nonlinear Structural Dynamics—0
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding TasksCode0
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model—0
Predicting the Location of Bicycle-sharing Stations using OpenStreetMap DataCode0
Deep Learning Algorithms for Hedging with FrictionsCode0
Sentence encoding for Dialogue Act classification—0
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm—0
Active Learning for Rumor Identification on Social Media—0
Come hither or go away? Recognising pre-electoral coalition signals in the news—0
Sequence Mixup for Zero-Shot Cross-Lingual Part-Of-Speech Tagging—0
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference—0
Japanese Zero Anaphora Resolution Can Benefit from Parallel Texts Through Neural Transfer Learning—0
Developing Conversational Data and Detection of Conversational Humor in Telugu—0
jurBERT: A Romanian BERT Model for Legal Judgement Prediction—0
Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments—0
Language Model Pretraining and Transfer Learning for Very Low Resource Languages—0
CVAE-based Re-anchoring for Implicit Discourse Relation Classification—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
The Global Banking Standards QA Dataset (GBS-QA)—0
Quality Estimation Using Dual Encoders with Transfer Learning—0
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport—0
NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021—0
Adam Mickiewicz University’s English-Hausa Submissions to the WMT 2021 News Translation Task—0
Limitations of Knowledge Distillation for Zero-shot Transfer Learning—0
TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task—0
Meta Distant Transfer Learning for Pre-trained Language Models—0
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference ResolutionCode0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT—0
Evaluating deep transfer learning for whole-brain cognitive decodingCode0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
Mapping probability word problems to executable representations—0
Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer ApproachCode0
Transfer Learning with Shallow Decoders: BSC at WMT2021’s Multilingual Low-Resource Translation for Indo-European Languages Shared TaskCode0
Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference ResolutionCode0
Wasserstein Selective Transfer Learning for Cross-domain Text Mining—0
Transfer Learning Approach to Bicycle-sharing Systems' Station Location Planning using OpenStreetMap DataCode0
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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