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 3351–3400 of 10307 papers

TitleStatusHype
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
Cardiac MRI Orientation Recognition and Standardization using Deep Neural NetworksCode0
Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer LearningCode0
Continual Prune-and-Select: Class-incremental learning with specialized subnetworksCode0
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature FusionCode0
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural ProcessesCode0
Efficient Computation Sharing for Multi-Task Visual Scene UnderstandingCode0
Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingCode0
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion RateCode0
Environment Invariant Linear Least SquaresCode0
Ensemble of Task-Specific Language Models for Brain EncodingCode0
EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene SegmentationCode0
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informaticsCode0
Enriched BERT Embeddings for Scholarly Publication ClassificationCode0
Efficient Deep Reinforcement Learning via Adaptive Policy TransferCode0
Cascading Adaptors to Leverage English Data to Improve Performance of Question Answering for Low-Resource LanguagesCode0
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 GamesCode0
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration DataCode0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuningCode0
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-TuningCode0
Ensemble Learning via Knowledge Transfer for CTR PredictionCode0
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge TransferCode0
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer LearningCode0
Enhancing Dataset Distillation via Non-Critical Region RefinementCode0
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction TasksCode0
Advancing Transformer's Capabilities in Commonsense ReasoningCode0
TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised LearningCode0
Enhancing Knowledge Distillation for LLMs with Response-Priming PromptingCode0
Continual Dialogue State Tracking via Reason-of-Select DistillationCode0
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
Taskonomy: Disentangling Task Transfer LearningCode0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing SupervisionCode0
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing ImagesCode0
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species GenerationCode0
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential RecommendationCode0
A Study of Convolutional Architectures for Handshape Recognition applied to Sign LanguageCode0
A Neural Network based Framework for Effective Laparoscopic Video Quality AssessmentCode0
Encodings for Prediction-based Neural Architecture SearchCode0
End-to-End Deep Learning of Optimization HeuristicsCode0
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image SegmentationCode0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Emulating Brain-like Rapid Learning in Neuromorphic Edge ComputingCode0
Tensor Analysis with n-Mode Generalized Difference SubspaceCode0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer LearningCode0
Empower Sequence Labeling with Task-Aware Neural Language ModelCode0
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing ImagesCode0
Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to RCode0
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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