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 3401–3450 of 10307 papers

TitleStatusHype
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningCode0
Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual ImagesCode0
A Study of Convolutional Architectures for Handshape Recognition applied to Sign LanguageCode0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
Causally Abstracted Multi-armed BanditsCode0
Efficient Transfer Learning for Video-language Foundation ModelsCode0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Ensemble Learning via Knowledge Transfer for CTR PredictionCode0
Ensemble of Task-Specific Language Models for Brain EncodingCode0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-TuningCode0
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
eGAN: Unsupervised approach to class imbalance using transfer learningCode0
Enriched BERT Embeddings for Scholarly Publication ClassificationCode0
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing ImagesCode0
EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian TwitterCode0
Elastic Coupled Co-clustering for Single-Cell Genomic DataCode0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi SensingCode0
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled DataCode0
Enhancing Knowledge Distillation for LLMs with Response-Priming PromptingCode0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi SensingCode0
TinySubNets: An efficient and low capacity continual learning strategyCode0
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction TasksCode0
TMI! Finetuned Models Leak Private Information from their Pretraining DataCode0
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion RateCode0
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural NetworksCode0
Embedding neurophysiological signalsCode0
Embedding Ordinality to Binary Loss Function for Improving Solar Flare ForecastingCode0
End-to-End Video Question-Answer Generation with Generator-Pretester NetworkCode0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer LearningCode0
A Neural Network based Framework for Effective Laparoscopic Video Quality AssessmentCode0
End-to-End Deep Learning of Optimization HeuristicsCode0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Encodings for Prediction-based Neural Architecture SearchCode0
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing SupervisionCode0
Towards Alzheimer's Disease Classification through Transfer LearningCode0
Celebrity ProfilingCode0
Emoji-Based Transfer Learning for Sentiment TasksCode0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classificationCode0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
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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